Dissertations / Theses on the topic 'Blind (The)'

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1

Abrar, Shafayat. "Blind channel equalization and instantaneous blind source separation." Thesis, University of Liverpool, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.540044.

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Bradburd, Douglas. "Word Blind." ScholarWorks@UNO, 2006. http://scholarworks.uno.edu/td/354.

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3

Fulmer, Tracy. "BLIND AESTHETICS." Miami University / OhioLINK, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=miami1002992074.

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4

DeMello, Beverlee S. (Beverlee Sue). "Blind Faith." Thesis, North Texas State University, 1985. https://digital.library.unt.edu/ark:/67531/metadc500873/.

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The purpose of this play is to dramatize the charismatic powers of an evangelist, Brother R.T. Bumpass, over his family and his followers. Faced with a challenge from his daughter, Martie, Brother Bumpass manages through a questionable miracle to prove to her that his way offers the only hope and salvation for her life.
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Díguele, Daniel. "Blind equalization /." Online version of thesis, 1994. http://hdl.handle.net/1850/11701.

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6

Gilbert, Ebony P. "Blind Allegiance." Digital Commons at Loyola Marymount University and Loyola Law School, 2015. https://digitalcommons.lmu.edu/etd/159.

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7

Jones, J. Michael Browning Philip L. "Factors that correlate with employment and earnings for people who are blind in Alabama." Auburn, Ala, 2008. http://repo.lib.auburn.edu/EtdRoot/2008/SUMMER/Rehabilitation_and_Special_Education/Dissertation/Jones_John_51.pdf.

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8

Karakutuk, Serkan. "Blind And Semi-blind Channel Order Estimation In Simo Systems." Phd thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/12611107/index.pdf.

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Channel order estimation is an important problem in many fields including signal processing, communications, acoustics, and more. In this thesis, blind channel order estimation problem is considered for single-input, multi-output (SIMO) FIR systems. The problem is to estimate the effective channel order for the SIMO system given only the output samples corrupted by noise. Two new methods for channel order estimation are presented. These methods have several useful features compared to the currently known techniques. They are guaranteed to find the true channel order for noise free case and they perform significantly better for noisy observations. These algorithms show a consistent performance when the number of observations, channels and channel order are changed. The proposed algorithms are integrated with the least squares smoothing (LSS) algorithm for blind identification of the channel coefficients. LSS algorithm is selected since it is a deterministic algorithm and has some additional features suitable for order estimation. The proposed algorithms are compared with a variety of dierent algorithms including linear prediction (LP) based methods. LP approaches are known to be robust to channel order overestimation. In this thesis, it is shown that significant gain can be obtained compared to LP based approaches when the proposed techniques are used. The proposed algorithms are also compared with the oversampled single-input, single-output (SISO) system with a generic decision feedback equalizer, and better mean-square error performance is observed for the blind setting. Channel order estimation problem is also investigated for semi-blind systems where a pilot signal is used which is known at the receiver. In this case, two new methods are proposed which exploit the pilot signal in dierent ways. When both unknown and pilot symbols are used, a better estimation performance can be achieved compared to the proposed blind methods. The semi-blind approach is especially effective in terms of bit error rate (BER) evaluation thanks to the use of pilot symbols in better estimation of channel coecients. This approach is also more robust to ill-conditioned channels. The constraints for these approaches, such as synchronization, and the decrease in throughput still make the blind approaches a good alternative for channel order estimation. True and effective channel order estimation topics are discussed in detail and several simulations are done in order to show the significant performance gain achieved by the proposed methods.
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9

Ma, Liang Suo. "Multichannel blind deconvolution." Department of Electrical, Computer and Telecommunications Engineering - Faculty of Engineering, 2004. http://ro.uow.edu.au/theses/398.

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This thesis studies some issues in the multichannel blind deconvolution (MBD) problem. MBD studies the problem of recovering the original latent source signals from a set of observation data, which is the convolutive mixture of the latent sources and an unknown dynamical system. Assumptions are usually adopted in deriving MBD algorithms to simplify the problem. Common assumptions include: the dynamical system is assumed to be linear and time invariant; the latent sources are assumed to contain at most one Gaussian distributed signal; the latent sources are statistically independent. There are, however, a number of additional assumptions introduced because a particular approach is followed. In our case, we follow the state space approach in representing the unknown dynamical system. This introduces a number of additional assumptions: (I) the mixing environment is assumed to be noise free; (II) the number of sources is assumed to be known; (III) the number of sources is assumed to be equal to the number of sensor measurements; (IV) the number of the states of the mixer is assumed to be known; (V) the latent sources are assumed to be super-Gaussian distributed. Assumption (IV) is specific to the state space approach, while the other assumptions also occur in other approaches. Obviously, the above assumptions are not necessarily true in practice. Our main aim in this thesis is to relax these assumptions so that the unknown dynamical system will be more accurately modelled and the MBD algorithms will be more suitable for practical applications. We propose to relax these five assumptions, one by one, through a number of novel algorithms. Balanced parametrization of linear time invariant systems originates in the field of system identification, system reduction and H1 control. Using a balanced canonical realization of the linear time invariant system, we will derive three versions of a balanced MBD algorithm in discrete time domain, continuous time domain, and unified discrete time and continuous time domains respectively. All these three versions of balanced algorithms can estimate the number of states in the mixer by considering the identified singular values in the balanced parametrization, thus relaxing assumption (IV). It is relatively easy to extend this formulation to include situations when the number of sensor measurements is greater than the number of latent sources, thus relaxing assumption (III) partially. The more difficult situation when the number of sensor measurements is less than the number of latent sources is not considered in this thesis. Most parameter estimation algorithms for the MBD problem include a nonlinear activation function in the algorithm. Dependent on the approach used in the derivation of the parameter estimation algorithm, the nonlinearity can take various forms, e.g., hyperbolic tangent function. However, normally in the derivation, it is implicitly assumed that the latent sources are super- Gaussian distributed, thus the hyperbolic tangent function is implicitly used as the nonlinearity. Unfortunately, in practice, it is seldom known in advance that the latent sources are super-Gaussian distributed. We will investigate a number of flexible source models, which will allow to separate both super-Gaussian and sub-Gaussian distributed sources. Through our empirical studies, we conjecture that the recovery of the latent sources is relatively insensitive to the probability distribution of the source signals, as long as some common nonlinearity is used in the parameter estimation algorithm in the MBD problem. We have empirically verified this conjecture for a set of commonly used nonlinear functions. Hence, assumption (V) is relaxed to an extent that the nonlinearity can be designed to be adaptive, according to the mixture of probability distribution of the latent sources, provided that the latent sources stay either super-Gaussian or sub-Gaussian for sufficiently long for the parameter estimation algorithm to converge sufficiently. The number of sources estimation problem can be formulated as a model comparison problem, which may be solved by evaluating marginal likelihood. However, it usually involves the evaluation of multiple variable integral expressions, which is well known to be difficult to evaluate computationally. Following a variational Bayesian (VB) approach, we overcome this difficulty in MBD problem by deriving a VB MBD algorithm, which has the following features: first, it allows to enclose noises in the system model; secondly, it allows to employ model comparison and automatic relevance determination to estimate the number of sources. Hence assumptions (I) and (II) are relaxed using this approach. This approach is applied to the estimation of the number of sources in artificially mixed speech signals, and then to electroencephalograph signals, the number of sources of which is not known a priori.
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10

Olasz, Elizabeth Barbara. "Blind phase equalization." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/nq20763.pdf.

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11

Chan, D. C. B. "Blind signal separation." Thesis, University of Cambridge, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.597415.

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The separation of independent sources from mixed observed data is a fundamental and challenging signal processing problem. In many practical situations, one or more desired signals need to be recovered from the mixtures only. A typical example is speech recordings made in an acoustic environment in the presence of background noise and/or competing speakers. Other examples include EEG signals, passive sonar applications and cross-talk in data communications. The audio signal separation problem is sometimes referred to as The Cocktail Party Problem. When several people in the same room are conversing at the same time, it is remarkable that a person is able to choose to concentrate on one of the speakers and listen to his or her speech flow unimpeded. This ability, usually referred to as the binaural cocktail party effect, results in part from binaural (two-eared) hearing. In contrast, a person with a severe hearing loss in one ear finds it is difficult to focus on a particular speaker under the same circumstances. A signal separation pre-process would be desirable in such circumstances. Signal separation techniques can also be applied in many other areas such as noise reduction, speech recognition and multi-media applications. The term 'Blind Signal Separation' refers to the lack of any propagation model: only statistical independence of the sources is assumed. The lack of other prior information underlines the difficulty of the problem. Observations may be modelled as linear mixtures of a number of source signals, i.e. a linear multi-input multi-output system. In this dissertation, the general n-source n-sensor (n x n) linear time invariant wide-band system is studied, in which, n random signals are received at n sensors and these signals originated from n sources. The problem is to recover the sources from observed signals only. Various block-based iterative algorithms are proposed which use output decorrelation as a signal separation criterion. These algorithms search for a linear transformation that minimises the statistical correlation between the components. Some existing solutions are reviewed and compared.
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12

Ahmed, Alaa Eldin Abdel-Rehim. "Automatic blind deconvolution." Thesis, Cranfield University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.359511.

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13

Svenson, David C. "The Blind Arcade." FIU Digital Commons, 2011. http://digitalcommons.fiu.edu/etd/386.

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THE BLIND ARCADE is a collection of poems chronicling several of the pressing conditions of contemporary American life: poverty and class, sex, violence, hunger, longing and mourning, and the inverse of the latter, requited love and emotional ecstasy. The poems are set in crowded markets, on trains and in apartment bedrooms, city squares and campus quads, dentist chairs, bridges, riverbanks, and kitchens. This contemporary and familiar backdrop dictates the form of most of these poems to be free verse, although terza rima, ekphrastic, haiku, and prose forms are also utilized. The book presents its poems in three sections. As if a series of decorative arches in a blind arcade, they are not broken down into themes. Rather, they are each utilized and are ordered around the weight of their individual topics to demonstrate the capriciousness of life.
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14

Giuriola, Alessandra <1988&gt. "blind blind blind Il tema della cecità nella letteratura, nel cinema e nel teatro della seconda metà del Novecento." Master's Degree Thesis, Università Ca' Foscari Venezia, 2013. http://hdl.handle.net/10579/2915.

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In questa tesi si analizza il tema della cecità nelle opere letterarie, cinematografiche e teatrali del periodo storico che va dal Secondo Dopoguerra a oggi. Il tema viene indagato e declinato in base ad uno schema generale di sotto-temi (ad esempio il tema del rapporto tra non visione e veggenza, o quello tra Io e Destino). Ogni singola opera citata, dunque, sarà analizzata e comparata ad altre, secondo l'ordine delineato da questa "griglia tematica".
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15

Zhang, Zhipeng, Wenckstern Holger von, Jörg Lenzner, Michael Lorenz, and Marius Grundmann. "Visible-blind and solar-blind ultraviolet photodiodes based on (InxGa1-x)2O3." American Institute of Physics, 2016. https://ul.qucosa.de/id/qucosa%3A23547.

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UV and deep-UV selective photodiodes from visible-blind to solar-blind were realized based on a Si-doped (InxGa1–x)2O3 thin film with a monotonic lateral variation of 0.0035
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16

Gillespie, Philip David. "Inline blind sensor characterisation." Thesis, Queen's University Belfast, 2017. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.726355.

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The measurement of rapidly changing temperature fluctuations is a challenging problem due to the inherent limited bandwidth of temperature sensors. This results in a measured signal that is a lagged and attenuated version of the true input signal. Compensation can be performed provided an accurate, parameterised model of the sensor is available. However, the sensor characteristics are strongly dependent on the measurement environment, which is often time-varying and cannot be determined a priori. To account for the changing characteristics, the sensor model must be estimated in-situ, thereby resulting in a blind identification problem. In this study, methods for performing blind characterisation of a two-sensor probe for fast temperature measurement are investigated and developed, with a particular focus on extending existing methods to handle second-order models.
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17

Tse, Cheuk-yin Samuel, and 謝卓然. "Factory for the blind." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B31986766.

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18

Clark-Carter, David. "Factors affecting blind mobility." Thesis, University of Nottingham, 1985. http://eprints.nottingham.ac.uk/11158/.

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This thesis contains a survey of the mobility problems of blind people, experimental analysis and evaluation of these problems and suggestions for ways in which the evaluation of mobility performance and the design of mobility aids may be improved. The survey revealed a low level of mobility among blind people, with no significant improvement since a comparable survey in 1967. A group of self taught cane users were identified and their mobility was shown to be poor or potentially dangerous. Existing measures of mobility were unable to detect improvements in performance above that achieved by competent long cane users. By using newly devised measures of environmental awareness and of gait, the advantages of the Sonic Pathfinder were demonstrated. Existing measures of psychological stress were unsatisfactory. Heart rate is affected by physical effort and has been shown to be a poor indicator of moment-to-moment stress in blind mobility. Analysis of secondary task errors showed that they occurred while obstacles were being negotiated. They did not measure stress due to anticipation of obstacles or of danger. In contrast, step length, stride time and particularly speed all show significant anticipatory effects. The energy expended in walking a given distance is least at the walker's preferred speed. When guided, blind people walk at this most efficient pace. It is therefore suggested that the ratio of actual to preferred speed is the best measure of efficiency in mobility. Both guide dogs and aids which enhance preview allow pedestrians to walk at, or close to, their preferred speed. Further experiments are needed to establish the extent to which psychological stress is present during blind mobility, since none of the conventional measures, such as heart rate and mood checklists show consistent effects. Walking speed may well prove to be the most useful measure of such stress.
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19

Atighechi, Arsham, and Hussein Haidari. "Vision for the Blind." Thesis, KTH, Maskinkonstruktion (Inst.), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230150.

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How can we improve the living standards of the visuallyimpaired using an Arduino?Living with visual impairment could potentially be oneof the hardest things one could do. Constantly having toworry about obstacles and carrying a stick to feel your wayforward. In order to combat this difficulty, we have designedVision for the Blind.One of the usages of ultrasonic sensors are to measurethe distance from objects using sound waves. These sensors,in combination with Piezo buzzers, have been used inVision for the Blind to warn the user of incoming obstaclesby emitting sound from the buzzers. The volume of thebuzzers is controlled by using a digital potentiometer andvaries depending on the measured distance. All three areconnected to an Arduino which has been coded to performthe given task.
Hur kan vi öka levnadsstandarden för visuellt nedsattamänniskor med hjälp av en Arduino?Att leva med visuell nedsättning är självklart ett stortproblem som medför svårigheter, att alltid vara orolig överhinder som kan finnas i vägen eller bära en pinne med sigför att hitta sin väg. För att bekämpa de här svårigheternahar vi konstruerat Vision for the Blind.Ultraljudsbaserade sensorer använder ljudvågor för attmäta avstånd från ett objekt. Dessa sensorer har använtsi Vision for the Blind i kombination med Piezo sumrarför att varna användaren om inkommande hinder genomatt emittera ljud från sumrarna. Ljudvolymen kontrollerasmed hjälp av en digital potentiometer och varierar med detuppmätta avståndet. Alla tre är kopplade till en Arduinosom är kodad för att utföra det givna uppdraget.
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Pai, Hung-ta. "Multichannel blind image restoration /." Digital version accessible at:, 1999. http://wwwlib.umi.com/cr/utexas/main.

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Tse, Cheuk-yin Samuel. "Factory for the blind." Hong Kong : University of Hong Kong, 2002. http://sunzi.lib.hku.hk/hkuto/record.jsp?B25954209.

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22

ATIGHECHI, ARSHAM, and HUSSEIN HAIDARI. "Vision For the Blind." Thesis, KTH, Mekatronik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232991.

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How can we improve the living standards of the visually impaired using an Arduino? Living with visual impairment could potentially be one of the hardest things one could do. Constantly having to worry about obstacles and carrying a stick to feel your way forward. In order to combat this difficulty, we have designed Vision for the Blind. One of the usages of ultrasonic sensors are to measure the distance from objects using sound waves. These sensors, in combination with Piezo buzzers, have been used in Vision for the Blind to warn the user of incoming obstacles by emitting sound from the buzzers. The volume of the buzzers is controlled by using a digital potentiometer and varies depending on the measured distance. All three are connected to an Arduino which has been coded to perform the given task.
Hur kan vi öka levnadsstandarden för visuellt nedsatta människor med hjälp av en Arduino? Att leva med visuell nedsättning är självklart ett stort problem som medför svårigheter, att alltid vara orolig över hinder som kan finnas i vägen eller bära en pinne med sig för att hitta sin väg. För att bekämpa de här svårigheterna har vi konstruerat Vision for the Blind. Ultraljudsbaserade sensorer använder ljudvågor för att mäta avstånd från ett objekt. Dessa sensorer har använts i Vision for the Blind i kombination med Piezo sumrar för att varna användaren om inkommande hinder genom att emittera ljud från sumrarna. Ljudvolymen kontrolleras med hjälp av en digital potentiometer och varierar med det uppmätta avståndet. Alla tre är kopplade till en Arduino som är kodad för att utföra det givna uppdraget.
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23

Rackley, Mark Anthony. "'The blind leading the blind' : a phenomenological study into the experience of blind and partially sighted clients with a sighted therapist." Thesis, Middlesex University, 2015. http://eprints.mdx.ac.uk/18562/.

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The focus on blindness and partial sightedness and improving the lives of those living with blindness and partial sightedness has increased in UK public policy and discourse over the last decade. However, there has been little focus on the psychological and emotional needs of those living with sight loss and how emotional support services may work effectively with this client group. This investigation, using Interpretative Phenomenological Analysis (IPA), examines the experience of nine blind or partially sighted people, aged between 22 and 75 years of age, living in the UK who have had psychological therapy with a sighted therapist in the last two years. The findings highlight various aspects of the participants’ experience under four meta-themes: 1) Struggles between the two worlds, 2) Bringing the ‘elephant’ into the therapy room, 3) Non-verbal communication and 4) Verbal communication and the power of the therapeutic relationship. The discussion highlighted areas for consideration for sighted counselling psychologists and other mental health professionals who may work with clients who are blind or partially sighted. It also explores three major areas: (i) for counselling psychology as a profession to consider how it supports clients who are blind or partially sighted, (ii) for sighted counselling psychologists and other mental health professionals to examine their own attitude toward disability and how they work with this in their profession and (iii) for sighted counselling psychologists to challenge traditional ways of working with touch, silence and talking when working with blind or partially sighted clients.
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24

Xu, Zhiyu. "Blind and group-blind multiuser detectors for reverse link in DS-CDMA systems /." View Abstract or Full-Text, 2002. http://library.ust.hk/cgi/db/thesis.pl?ELEC%202002%20XU.

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Thesis (Ph. D.)--Hong Kong University of Science and Technology, 2002.
Includes bibliographical references (leaves 111-117). Also available in electronic version. Access restricted to campus users.
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25

WRASE, JACOB, and AMIR AVDIC. "Automatic Light-Controlled Venetian Blind : Design and construction of a light-controlled Venetian blind." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279831.

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The demand for automated home solutions is growing and it has created a market for automated blinds. For now most of these solutions seem to focus on fully opening and closing, either rolling blinds or slat blinds, with different electronic solutions. There doesn’t seem to be many solutions for continuously regulating light inlet based on ambient light. This project examined the possibilities of continuously regulating the amount of natural light let through a window. This was tested by measuring ambient light on one side of the blind with light dependant resistors (LDR’s) and regulating a Venetian blind based on measured light intensity. A feed-forward controller was implemented, programmed on an Arduino Uno board, to control sensors and actuators that regulate the blind. A prototype unit was built on a window-resembling wooden frame to evaluate the performance of the controller. The light sensitivity of LDR’s were sufficient for measuring differences in ambient light in different conditions where an automated blind could be used. The final prototype could be set to adjust light inlet in increments for changes in ambient light, thereby opening up to uses beyond simply closing and opening a light inlet. Future improvements could be to implement a feedback controller (e.g. a PID controller). The controller could be set to a certain reference as preferred ambient lighting in a room, thereby letting the controller adjust the blinds towards that reference value while conditions outside and inside change during the day. This could also be implemented in already existing smart home solutions.
Efterfrågan på automatiserade hemmalöningar är växande och det har skapat en marknad för automatiserade persienner. För nuvarande verkar det de flesta lösningarna fokusera på att helt öppna eller stänga, antingen rullgardiner eller persienner, med olika elektriska lösningar. Det verkar inte finnas många lösningar med kontinuerlig justering av inkommande omgivningsljus. Detta projekt utforskar möjligheterna för kontinuerlig justering av mängden naturligt ljus som släpps igenom ett fönster. Detta gjordes genom att mäta omgivande ljus på ena sidan av persiennen med fotoresistorer och reglera persiennen baserat på den uppmätta ljusintensiteten. Framkopplad styrning implementerades, programmerad på en Arduino Uno, för att styra sensorer och ställdon som reglerar persiennen. En prototypenhet byggdes på en fönsterliknande träram för att utvärdera prestandan av styrenheten.  Ljuskänsligheten i fotoresistorerna var tillräcklig för att mäta skillnader i omgivningsljus för de olika förhållanden där automatiserade persienner skulle kunna användas. Den slutgiltiga prototypen kunde ställas in att justera ljusinsläppet stegvis för skillnader i omgivningsljus, vari nya användningsområden öppnas upp utöver att endast stänga och öppna ett ljusinsläpp.  Framtida förbättringar skulle kunna vara att implementera en återkopplande styrning (t.ex. PID-styrning). Styrenheten skulle kunna ställas in till ett specifikt referensvärde på önskat omgivande ljus i ett rum, vari kontrollern justerar persiennerna för att hålla det önskade referensvärdet medan förhållanden utomhus och inomhus varierar under dagen. Detta skulle även kunna implementeras i redan befintliga smarta lösningar för hemmet.
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26

Chow, Ho-ming. "A study on tactile symbolic tiles and guide paths for the blind /." Hong Kong : University of Hong Kong, 2000. http://sunzi.lib.hku.hk/hkuto/record.jsp?B21543719.

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27

Yang, Jian. "Multimodulus algorithms for blind equalization." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq25191.pdf.

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28

Newton, T. J. "Blind deconvolution and related topics." Thesis, University of Cambridge, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.372896.

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29

Gao, Bin. "Single channel blind source separation." Thesis, University of Newcastle Upon Tyne, 2011. http://hdl.handle.net/10443/1300.

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Single channel blind source separation (SCBSS) is an intensively researched field with numerous important applications. This research sets out to investigate the separation of monaural mixed audio recordings without relying on training knowledge. This research proposes a novel method based on variable regularised sparse nonnegative matrix factorization which decomposes an information-bearing matrix into two-dimensional convolution of factor matrices that represent the spectral basis and temporal code of the sources. In this work, a variational Bayesian approach has been developed for computing the sparsity parameters of the matrix factorization. To further improve the previous work, this research proposes a new method based on decomposing the mixture into a series of oscillatory components termed as the intrinsic mode functions (IMF). It is shown that IMFs have several desirable properties unique to SCBSS problem and how these properties can be advantaged to relax the constraints posed by the problem. In addition, this research develops a novel method for feature extraction using psycho-acoustic model. The monaural mixed signal is transformed to a cochleagram using the gammatone filterbank, whose bandwidths increase incrementally as the center frequency increases; thus resulting to non-uniform time-frequency (TF) resolution in the analysis of audio signal. Within this domain, a family of Itakura-Saito (IS) divergence based novel two-dimensional matrix factorization has been developed. The proposed matrix factorizations have the property of scale invariant which enables lower energy components in the cochleagram to be treated with equal importance as the high energy ones. Results show that all the developed algorithms presented in this thesis have outperformed conventional methods.
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Edge, Alasdair Simon Laurence. "Applying blind realism to science." Thesis, University of Leeds, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.534754.

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31

Zheng, Fu-Chun. "Blind deconvolution : techniques and applications." Thesis, University of Edinburgh, 1992. http://hdl.handle.net/1842/10673.

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This thesis is primarily concerned with developing new parameter based blind deconvolution algorithms and studying their applications. The blind deconvolution problem for minimum phase (MP) systems is well understood, and in this case the well known predictive schemes can be employed. When systems are nonminimum phase (NMP), however, the predictive deconvolution methods can only generate the spectrally equivalent MP solution. This is because the predictive schemes are based only on autocorrelations, which are completely blind to the phase properties of systems. In order to solve the blind deconvolution problem of NMP systems, higher order cumulant (HOC) analysis is adopted in this thesis. The reason for this is that HOC carry the phase information of systems only to a linear phase shift, the parametric approach is adopted due to its advantages in terms of variance and resolution over nonparametric methods. Both MA and AR based models are studied in this work. A new robust blind deconvolution algorithm for MP systems: variance approximation and series decoupling (VASD), is presented first. It is shown that this algorithm possesses some advantages over the existing ones with the same purpose. Then, based on a MA system model, we proposed a HOC-based two-step relay algorithm, in which the close-form formula for MA parameters are combined with an optimal fitting scheme, and the thorny problem of multimodality is overcome to a very great degree. Thus, the optimal identification of the MA parameters of NMP systems can be obtained. In the study of the AR based model, six new families of HOC based linear equations with respect to the AR parameters are derived. Since the inverse filter coefficients are simply the solution of a set of linear equations, their uniqueness can normally be guaranteed. In comparison with the existing AR based methods, only diagonal slices of cumulants are used in our algorithms, in which simplicity and elegance are fully embodied. It has been shown that our algorithm can offer more accurate results than the existing ones.
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Marchand, Flores Horacio Maurilio. "The Blind Side of Management." Thesis, Pacifica Graduate Institute, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10169633.

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From the perspective of Depth Psychology, each of us to some degree suffers neurotic complexes of inferiority, superiority, and blind spots in our internal and external awareness. Hence, managing any organization requires managing oneself, or at least understanding the psychological processes involve. As demonstrated throughout this study, not only our inherent functional (neurophysiological) blindness but the acquired blindnesses of hubris, bias, exclusionary modes of perception, and fixed formulae of operation and administration affect our clarity of thought, the lucidity of our decision-making. And perhaps more so for leaders and managers vested in performance and profit: their capacities to listen, learn, interact, implement, recognize and pursue opportunities, recognize and address errors, are materially and decisively affected by the one-sided agenda of business. As argued throughout this study, a central dilemma of economic success entails our overtraining in supposedly objective and obsessively quantitative rational thinking, and our undertraining in purportedly subjective and typically derided emotional qualitative thinking.

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Mauritzson, Samuel, and Fabian Revilla. "Motorized control of a blind." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264474.

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Automated solutions such as robotic vacuum cleaners and smart lighting are gaining popularity, both in the home as well as in public environments. The purpose of this project is to investigate the possibility of using a microcontroller to, in a user-friendly way, control a blind and to implement a sound sensor to activate the mechanism. A stepper motor was used to drive the blind and control its position. The prototype was programmed to recognize a sequence of two claps within a specific time interval. To make the prototype more user-friendly a UI was implemented with an LCD-display and mechanical buttons. A menu was designed where the user would be able to change settings such as the sound level threshold and motor speed as well as calibrate the position of the blind. The performance of the prototype was evaluated by testing the audio recognition by attempted activation in a quiet environment and by recording accidental activations in a loud environment. The conclusions drawn from these test were that the sound recognition was implemented and operated with a success rate of up to 73 %, but that it also triggered relatively easily by extraneous sound sources. Future improvements to this problem could include implementation of a band pass filter to further optimize the sound recognition to the desired audio cue.
Automatiserade lösningar som robotdammsugare och smart belysning blir allt mer populärt, både i hemmet och i offentliga miljöer. Syftet med detta projekt är att undersöka möjligheten att använda en mikrokontroller för att på ett användarvänligt sätt styra en rullgardin och implementera en ljudsensor för att aktivera mekanismen. En stegmotor användes för att driva rullgardinen och styra dess position. Mjukvaran formades för att känna igen en sekvens av två klappar inom ett visst tidsintervall. För att göra prototypen mer användarvänlig implementerades ett användargränssnitt med en LCD-skärm och mekaniska knappar. En meny utformades där inställningar som ljudnivåns tröskelvärde och motorvarvtal kunde ändras. Gardinens position kunde även kalibreras. Ljudigenkänningen utvärderades genom att testa aktivering i en tyst miljö och genom att registrera oavsiktliga aktiveringar i en högljudd miljö. Slutsatserna från dessa test var att ljudigenkänningen implementerades och fungerade konsistent vid upp till 73 % av aktiveringsförsöken, men att den också utlöstes relativt enkelt av yttre ljudkällor. Eventuella förbättringar av detta problem kan innefatta implementation av ett bandpassfilter för att ytterligare optimera ljudigenkänningen.
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Luo, Ming. "Robust and blind 3D watermarking." Thesis, University of York, 2006. http://etheses.whiterose.ac.uk/863/.

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3D watermarking is a technique to hide some information into the 3D graphical model in such a way that the watermarked object is visually indistinguishable from the original one. A robust and blind 3D watermarking method should be able to detect the embedded message after a certain level of malicious attack without having the original model. 3D watermarking has a great potential of usage in the real world and it can be applied in the copyright protection, database management, graphics authentication and data transmission etc. This thesis proposes four novel robust and blind 3D watermarking methods based on spectral domain and spatial domain. Chapter 2 comprehensively surveys the related literature in the fields of transformed domain methods, spatial domain methods and the watermarking metrics. Chapter 3 proposes a novel 3D watermarking methodology in the spectral domain. The mesh object is decomposed into a set of spectral coefficients which represent the energy of the mesh in different scales. The message is embedded by introducing constraints into the distributions of spectral coefficients. Chapter 4 employs the geodesic distance to carry the bits based on the observation that the distribution of geodesic distance within a range is close to uniform. Two ways of embedding scheme are introduced. One is to modify the mean value and the distribution and the other is to change the variance. A novel Vertex Placement Scheme (VPS) is proposed to move the vertex in order to satisfy the watermarked geodesic distance, without causing significant distortion to the object. Chapter 5 introduces two spatial domain methods which embed the message by changing the distribution of the vertex norms, i.e. the distance from vertex to the object centre. Two methods employ the same histogram mapping function as described in chapter 4. The first method minimizes the surface distortion by selecting a candidate point over the neighbourhood which introduces the minimum error. The second method employs the Levenberg-Marquardt optimization method to find the best possible solution to ensure that the surface distortion is truly minimum with respect to a novel surface error function. The algorithms proposed in this thesis significantly improve the visual quality of the watermarked object while the watermark detection robustness is at a relatively high level. The robustness of the proposed methods is increasing from the methods presented in Chapter 3 to Chapter 5 while the surface distortion is decreasing for these methods. The second algorithm proposed in Chapter 5 achieves the best overall performance in the aspect of visual quality and robustness. In Chapter 6, we conclude the thesis by addressing the weakness and propose potential future research work.
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Olson, Ted. "Blind Alfred Reed: Appalachian Visionary." Digital Commons @ East Tennessee State University, 2015. https://amzn.com/B01AHK4WLU.

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Liner notes by Ted Olson, song lyrics, and discography; produced by Ted Olson. "In this collection, all of Reed’s songs, both faith-based and secular, recorded for the Victor Talking Machine Company over two sessions in 1927 in Bristol TN and Camden, NJ and two sessions in 1929 in New York City, are on one 22 track CD, complemented by well researched essays by Producer Ted Olson and LOTS of archival photos. Reed played fiddle and sang and on some sessions he was accompanied on guitar by his son Orville. ... Olson has included the younger Reed’s solo recordings." --Steve Ramm Review on Amazon
https://dc.etsu.edu/etsu_books/1117/thumbnail.jpg
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Olson, Ted. "Blind Alfred Reed: Appalachian Visionary." Digital Commons @ East Tennessee State University, 2016. https://dc.etsu.edu/etsu-works/1201.

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Ibrahim, Ahmed. "Blind steganalysis using fractal features." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2016. https://ro.ecu.edu.au/theses/2198.

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A novel approach for detecting Steganographic images with blind steganalysis using fractalfeatures has been proposed in this thesis. Two overarching methods were used to constructthe feature vector; first, using a variation of the Differential Box Counting algorithm forlacunarity estimation to extract the fractal features; and then, using dynamic time warpingfor similarity measures as the basis for further deriving other features.The research design enabled the proposition of four major approaches that were based oniterative experiments that aided in further improving and extending upon the previousoutcomes.This research has thus made three major contributions to the body of knowledge by thefollowing:1. Proposing of a novel approach for constructing the feature vector based on fractalfeatures for blind steganalysis.2. Ability to perform significant feature reduction by using the proposed fractal fea-tures, which is also applicable in areas other than steganalysis.3. Discovery of an improved blind steganalysis approach for known Cover images.
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McGuire, Molly E. "A system for optimizing interior daylight distribution using reflective Venetian blinds with independent blind angle control." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/34487.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Architecture, 2005.
Includes bibliographical references (p. 94-96).
An operational algorithm for blind angle control is developed to optimize the daylighting performance of a system of reflective Venetian blinds. Numerical modeling and experiment confirm that independent control of alternating blinds yields adequate visual comfort and daylight distribution to a distance of 10 m from the window under most clear sunny and overcast sky types. Under overcast sky conditions, all blinds are set to a uniform angle which optimizes light redirection to 10 m. For cases of direct solar incidence, alternating blinds are used for shading and light redirection and adjusted with changing solar position. For low solar angles, a set of blind angle configurations is developed utilizing blind-blind reflections to maximize light penetration.
by Molly E. McGuire.
S.M.
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Kutlu, Mehmet. "Kalman filtering approach to blind equalization." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1993. http://handle.dtic.mil/100.2/ADA276320.

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Saruwatari, Hiroshi. "BLIND SIGNAL SEPARATION OF AUDIO SIGNALS." INTELLIGENT MEDIA INTEGRATION NAGOYA UNIVERSITY / COE, 2006. http://hdl.handle.net/2237/10406.

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Khor, Li Chin. "Blind source separation under model misfits." Thesis, University of Newcastle upon Tyne, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.490154.

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Blind Signal Separation (BSS) is a statistical signal processing-based technique and has recently been developed for many potential applications. This thesis aims to investigate model misfits in BSS problems as well as identify and develop efficient solutions for enhancing the performance of signal separation. This research sets out to investigate model misfits associated with finite signal sample size, mixing model, source signal and noise models. The effects of finite signal sample size on several well-known cost functions have been studied and this thesis has identified the most optimal cost function in separating signals with and without the presence of noise. A set of statistical tests is further developed to measure the performance in terms of speed, accuracy and convergence of the tested BSS algorithms. This work further explores the limitations of conventional assumptions of the noiseless and square mixing model which are often violated in practice and result in poor performance in signal separation. The separation of underdetermined mixing models as well as the assumptions of the source signals and noise are also addressed. This thesis presents the development of a Bayesian framework for underdetermined mixtures that produce accurate results in the estimation of mixing matrix and signals corrupted by noise. The proposed algorithm for underdetermined mixtures is capable of modelling a wide variety of signals ranging from unimodal to multimodal and symmetric to nonsymmetric signals. An integrated noise reduction procedure provides robustness against Gaussian noise and the commonly neglected non-Gaussian noise. Results justify the customisation of an algorithm for underdetermined mixtures and demonstrate the efficacy of the proposed algorithm which is three to five times better than existing algorithms. Finally, the work investigates another model misfit in the form of nonlinearly mixed signals and the difficulty of the problem. An algorithm that accurately separates nonlinear mixtures in the presence of noise is proposed. This algorithm features a system that maintains efficient convergence rate while minimising the risk of divergence regardless of the initialised parameters. There is also a mechanism that ameliorates global convergence. Results show that the proposed algorithm outperforms existing algorithms by at least three times with its features that simultaneously address the two crucial issues in the blind separation of nonlinear mixtures.
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Lecharlier, Loïc. "Blind inverse imaging with positivity constraints." Doctoral thesis, Universite Libre de Bruxelles, 2014. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209240.

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Dans les problèmes inverses en imagerie, on suppose généralement connu l’opérateur ou matrice décrivant le système de formation de l’image. De façon équivalente pour un système linéaire, on suppose connue sa réponse impulsionnelle. Toutefois, ceci n’est pas une hypothèse réaliste pour de nombreuses applications pratiques pour lesquelles cet opérateur n’est en fait pas connu (ou n’est connu qu’approximativement). On a alors affaire à un problème d’inversion dite “aveugle”. Dans le cas de systèmes invariants par translation, on parle de “déconvolution aveugle” car à la fois l’image ou objet de départ et la réponse impulsionnelle doivent être estimées à partir de la seule image observée qui résulte d’une convolution et est affectée d’erreurs de mesure. Ce problème est notoirement difficile et pour pallier les ambiguïtés et les instabilités numériques inhérentes à ce type d’inversions, il faut recourir à des informations ou contraintes supplémentaires, telles que la positivité qui s’est avérée un levier de stabilisation puissant dans les problèmes d’imagerie non aveugle. La thèse propose de nouveaux algorithmes d’inversion aveugle dans un cadre discret ou discrétisé, en supposant que l’image inconnue, la matrice à inverser et les données sont positives. Le problème est formulé comme un problème d’optimisation (non convexe) où le terme d’attache aux données à minimiser, modélisant soit le cas de données de type Poisson (divergence de Kullback-Leibler) ou affectées de bruit gaussien (moindres carrés), est augmenté par des termes de pénalité sur les inconnues du problème. La stratégie d’optimisation consiste en des ajustements alternés de l’image à reconstruire et de la matrice à inverser qui sont de type multiplicatif et résultent de la minimisation de fonctions coût “surrogées” valables dans le cas positif. Le cadre assez général permet d’utiliser plusieurs types de pénalités, y compris sur la variation totale (lissée) de l’image. Une normalisation éventuelle de la réponse impulsionnelle ou de la matrice est également prévue à chaque itération. Des résultats de convergence pour ces algorithmes sont établis dans la thèse, tant en ce qui concerne la décroissance des fonctions coût que la convergence de la suite des itérés vers un point stationnaire. La méthodologie proposée est validée avec succès par des simulations numériques relatives à différentes applications telle que la déconvolution aveugle d'images en astronomie, la factorisation en matrices positives pour l’imagerie hyperspectrale et la déconvolution de densités en statistique.
Doctorat en Sciences
info:eu-repo/semantics/nonPublished
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Berger, Ulrich, and Martyn Rittman. "Double Blind Peer-Review in Games." MDPI, 2015. http://dx.doi.org/10.3390/g7010001.

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44

Feng, Shuang. "Blind relay network with viterbi detection." Thesis, Wichita State University, 2010. http://hdl.handle.net/10057/3716.

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This thesis compared the performance of a blind relay communication system with that of a non-blind relay communication system. For a blind system, a differential space-time block code (DSTBC) or a blind Viterbi detection were used, and for a non-blind system, a space-time block code (STBC) was used. Also, this thesis took another blind detection mechanism, the Zhang’s code, and compared its performance with that of the blind Viterbi detection under a Jakes’ fading environment. It was found that the case of a relay closer to the destination shows better performance than the other case of a relay closer to the destination. It was also observed that the blind Viterbi decoder shows better performance than the Zhang’s code under the Jakes’ fading environment.
Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and Computer Science.
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Cook, Harry Clayton. "Tactile Semantics : Browsing the Internet Blind." Thesis, Umeå universitet, Institutionen Designhögskolan, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-73352.

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This research project is focused on understanding the current needs of blind users in the context of browsing on the internet. The research methods used have an inclusive design approach. The outcome was intended for both for the blind and normally sighted.  At the broadest level, this project is about reducing cognitive effort in human to computer interaction. At the next level it is about browsing the internet. Everyone using a computer and surfing the web at some point goes through the mental task of comparing between alternative choices. Examining today’s obstacles for the blind, what aspects of the experience could we improve? Could we design a better cognitive browsing experience for all users focusing on nonvisual aspects of the user experience? What would it look like, how would it behave and what characteristics would it carry?  The Semantic Scroller is a concept that could be implemented today but actually presupposes the use of some new HTML specifications specifically the adoption of “open” semantic tags. Unlike existing semantic tags like <nav> and <article> which are too context specific, an open framework would enable coders include contextual semantic descriptions where ever necessary.
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Klajman, Maurice. "Mixed statistics in blind source separation." Thesis, Imperial College London, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.406683.

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May, Kaaren Lonna. "Blind image restoration via constrained optimisation." Thesis, Imperial College London, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.313788.

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Shah, Madad Ali. "Brunel DGPS system for blind navigation." Thesis, Brunel University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.392073.

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49

Altuna, Jon. "Cyclostationary blind equalisation in mobile communications." Thesis, University of Edinburgh, 1998. http://hdl.handle.net/1842/1375.

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Blind channel identification and equalisation are the processes by which a channel impulse response can be identified and proper equaliser filter coefficients can be obtained, without knowledge of the transmitted signal. Techniques that exploit cyclostationarity can reveal information about systems which are nonminimum phase; nonminimum phase channels cannot be identified using only second-order statistics (SOS), because these do not contain the necessary phase information. Cyclostationary blind equalisation methods exploit the fact that, sampling the received signal at a rate higher than the transmitted signal symbol rate, the received signal becomes cyclostationary. In general, cyclostationary blind equalisers can identify a channel with less data than higher-order statistics (HOS) methods, and unlike these, no constraint is imposed on the probability distribution function of the input signal. Nevertheless, cyclostationary methods suffer from some drawbacks, such as the fact that some channels are unidentifiable when they exhibit a number of zeros equally spaced around the unit circle. In this thesis the performance of a cyclostationary blind channel identification algorithm combined with a maximum-likelihood sequence estimation receiver is analysed. The simulations were conducted in the pan-European mobile communication system GSM environment and the performance of the blind technique was compared with conventional channel estimation methods using training. It is shown that although blind equalisation techniques can converge in a few hundred symbols in a time-invariant channel environment, the degradation with respect to methods with training is still considerable. Yet, the fact that a dedicated training sequence is not needed makes blind techniques attractive, because the data used for training purposes can be re-allocated as information data. In the concluding part of this thesis a new blind channel identification algorithm which combines methods that exploit cyclostationarity implicitly and explicitly is presented. It is shown that the properties of cyclostationary statistics are exploited in the new algorithm, and enhance the performance of the technique that solely exploits fractionally-spaced sampling. The algorithm is robust in the presence of correlated noise and interference from adjacent users.
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Jan, Tariqullah. "Blind convolutive speech separation and dereverberation." Thesis, University of Surrey, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.551136.

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Extraction of a target speech signal from the convolutive mixture of multiple sources observed in a cocktail party environment is a challenging task, especially when the room acoustic effects and background noise are present in the environment. Such acoustic distortions may further degrade the separation performance of many existing source separation algorithms. Algorithmic solutions to this problem are likely to have strong impact on many applications including automatic speech recognition, hearing aids and cochlear implants, and human-machine interaction. In such applications, to extract the target speech, it is usually required to deal with not only the interfering sound, but also the room reverberations and background noise. To address this problem, several methods are developed in this thesis. For the blind separation of a target speech signal from the convolutive mixture, a multistage algorithm is proposed in which a convolutive independent component analysis (leA) algorithm is applied to the mixture, followed by the estimation of an ideal binary mask (IBM) from the separated sources obtained with the convolutive leA algorithm. In the last step, the errors introduced due to estimation of the IBM are reduced by cepstral smoothing. The separation performance of the above algorithm, however, deteriorates with the increase in surface reflections and background noise within the room environment. Two different methods are therefore developed to reduce such effects. In the first method which is also a multistage method, acoustic effects and background' noise are treated together using an empirical-mode-decomposition (EMD) based algorithm. The noisy reverberant speech is decomposed adaptively into oscillatory components called intrinsic mode functions (IMFs) via an EMD algorithm. Denoising is then applied to selected high frequency IMFs using an EMD- based minimum mean squared error (MMSE) filter, followed by spectral subtraction of the resulting denoised high and low-frequency IMFs. The second method is a two-stage dereverberation algorithm in which the smoothed spectral subtraction mask based on a frequency dependent model is derived and then applied to the reverberant speech to reduce the effects of late reverberations. Wiener filtering is then applied such that the early reverberations are attenuated. Finally, an algorithm is developed for joint blind separation and blind dereverberation. The proposed method consists of a step for the blind estimation of reverberation time (RT). The method is employed in three different ways. Firstly, the available mixture signals are used to estimate blindly the RT, followed by the dereverberation of the mixture signals. Then, the separation algorithm is applied to these resultant mixtures. Secondly, the separation algorithm is applied first to the mixtures, followed by the blind dereverberation of the segregated speech signals. In the third scheme, the separation algorithm is split such that the convolutive leA is first applied to the mixtures, followed by the blind dereverberation of the signals obtained from convolutive leA. Then, the T-F representation of the dereverberated signals is used to estimate the IBM followed by cepstral smoothing.
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