Relevant bibliographies by topics / Discrete Signals

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Discrete Signals'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 September 2023

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Journal articles on the topic "Discrete Signals"

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Vosvrda, Miloslav S. "Discrete random signals and statistical signal processing." Automatica 29, no. 6 (November 1993): 1617. http://dx.doi.org/10.1016/0005-1098(93)90033-p.

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Shah, Yogendra Prasad. "Applications of Fourier Series and Fourier Transformation." Cognition 2, no. 1 (October 30, 2019): 145–56. http://dx.doi.org/10.3126/cognition.v2i1.55605.

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This paper investigates into the application of fourier transformation and series, which converts time domain signal to frequency domain signals, at which signals can be analyzed. Unlike Laplace transform, Fourier Transforms does not have full S plane, it just have the frequency j2πf plane. Fourier Transforms helps to analyze spectrum of the signals, helps in find the response of the LTI systems. (Continuous Time Fourier Transforms is for Analog signals and Discrete time Fourier Transforms is for discrete signals). Discrete Fourier Transforms are helpful in Digital signal processing for making convolution and many other signal manipulations. Overall, the paper will conclude the impact of Fourier Transforms in life.
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Lin, C. C., and M. T. Manry. "A new signal averaging algorithm for discrete signals." IEEE Transactions on Acoustics, Speech, and Signal Processing 37, no. 3 (March 1989): 340–45. http://dx.doi.org/10.1109/29.21702.

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Gerasimov, S. I., V. D. Glushnev, and I. N. Zhelbakov. "Determination of Propagation Times of Finite Ultrasonic Signals in the UFM Measuring Path." Journal of Physics: Conference Series 2096, no. 1 (November 1, 2021): 012189. http://dx.doi.org/10.1088/1742-6596/2096/1/012189.

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Abstract This article provides a brief analysis of the error in calculating the discrete crosscorrelation function of the transit-time ultrasonic flowmeter signals. Special attention is paid to the study of the influence of the obtained discrete correlation function inaccuracy on the ultrasonic flowmeter’s propagation times determining error. It is known that for real time-limited acoustic signals, the discrete correlation function values are calculated with a significant error. The consequence of this is the appearance of the measurement error of the time delay between signals. The reason for this phenomenon is incorrect truncation of finite length digital sequences of the received acoustic signals. The report presents and describes an improved cross-correlation method for determining the time difference. The new algorithm takes into account the existing discretizing parameters of the received UPS – sampling frequency, sequence size and the truncated signal’s shape. Theoretical analytical expressions for the signals discrete cross-correlation function estimating are obtained as an approximation of a continuous function (the method of trapezoids and Simpson is used as an integral replacement). The numerical simulation by MatLab explains the error formation essence in the signal times difference calculating.
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KUCZERSKI, Tomasz, and Zbigniew LEWANDOWSKI. "MODEL OF EXTRACTOR FOR DISCRETE SIGNALS." PROBLEMY TECHNIKI UZBROJENIA 144, no. 4 (February 27, 2018): 71–77. http://dx.doi.org/10.5604/01.3001.0011.5825.

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A model of an extractor for discrete signals having the form of an algorithm implementing C++ in one-chip microcontroller is presented in the paper. A possibility of using the proposed algorithm for detection of strings of coded discrete impulse signals is analysed. Initial results of tests performed on the model of extractor by using the real signal of coded impulse strings are presented.
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Woolfson, M. S. "Book Review: Discrete Random Signals and Statistical Signal Processing." International Journal of Electrical Engineering & Education 30, no. 1 (January 1993): 94. http://dx.doi.org/10.1177/002072099303000125.

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Ponomarev, A. V., and O. V. Ponomareva. "Sliding Space-Frequency Processing of Finite Two-Dimensional Real Discrete Signals Based on the Fourier Transform with Variable Parameters." Intellekt. Sist. Proizv. 19, no. 4 (2021): 138–47. http://dx.doi.org/10.22213/2410-9304-2021-4-138-147.

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In the field of Fourier processing of finite signals, three main directions of scientific research have been identified: Fourier processing of one-dimensional finite signals - processing of scalar functions of a scalar argument, Fourier processing of two-dimensional finite signals - processing of scalar functions of a vector argument, multichannel Fourier processing - processing of vector functions of a scalar argument. As part of the creation of a generalized theory of Fourier processing of finite signals, the authors proposed: the theory of spectral analysis of discrete signals at finite intervals in the bases of parametric exponential functions and the theory of two-dimensional digital signal processing in Fourier bases with variable parameters. The developed theories, generalizing the theory of Fourier processing of one-dimensional and two-dimensional signals, are based: on the introduction of new concepts of the shift of finite discrete signals in one-dimensional and two-dimensional cases and the introduction of new basic Fourier processing systems of discrete signals, which have the properties of multiplicativity, functions in the system. The mathematical apparatus of two-dimensional discrete Fourier transform with variable parameters in matrix and algebraic form is considered. A new method for processing finite two-dimensional real discrete signals in the spatial-frequency domain based on the discrete Fourier transform with variable parameters, the method of sliding spatial-frequency processing, has been introduced. An efficient method and algorithm for fast diagonal sliding spatial-frequency processing of finite two-dimensional real discrete signals based on the discrete Fourier transform with variable parameters has been developed. The estimation of the efficiency and effectiveness of the algorithm of the diagonal sliding two-dimensional discrete Fourier transform with variable parameters from the point of view of computational costs is carried out. As a result of experimental studies on model two-dimensional discrete finite signals, the validity, efficiency and reliability of the proposed method of sliding spatial-frequency processing of finite two-dimensional real discrete signals based on the discrete Fourier transform with variable parameters have been proved. A comparison (from the point of view of computational costs) of the developed method of sliding spatial-frequency processing of finite two-dimensional real discrete signals based on the discrete Fourier transform with variable parameters with the standard method of sliding processing of this type of signals is carried out.
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Yao, Cheng-Kai, Ying-Huan Chen, Yibeltal Chanie Manie, Mekuanint Agegnehu Bitew, and Peng-Chun Peng. "Microwave signal generation with discrete mode laser diode." Laser Physics Letters 19, no. 5 (April 1, 2022): 056201. http://dx.doi.org/10.1088/1612-202x/ac60a4.

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Abstract Microwave signals with low phase noise can be broadly used in communication systems, satellite communications, and radar systems. Discrete mode laser diode (DM-LD) has the capacity to generate signals that meet the above requirements. Moreover, it has the following advantages such as stable operation over a wide temperature range, very high side mode suppression ratio, low sensitivity to optical feedback, and narrow linewidth. In this paper, we proposed and experimentally demonstrated DM-LD for generating the second harmonic signal in the self-starting microwave generation system. The results show that DM-LD effectively reduces the single sideband (SSB) phase noise of the fundamental signals and its second harmonic signals better than the same designed experimental system using a distributed feedback LD, which reduces the SSB noise of the fundamental signal/its second harmonic signal by over 16/22 dB, 18/22 dB, 13/19 dB at a frequency offset of 10 kHz, 100 kHz, and 1 MHz, respectively.
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Rassomakhin, S. G., A. A. Zamula, I. D. Gorbenko, and Ho Tri Luc. "Comparative analysis of noise immunity of reception of nonlinear complex discrete signals with standard signals AFM-16 BPSK." Radiotekhnika, no. 203 (December 23, 2020): 133–40. http://dx.doi.org/10.30837/rt.2020.4.203.13.

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The article shows that the solution to the problem of increasing the noise immunity (noise immunity and secrecy of functioning) of the ICS can be achieved using systems of nonlinear signals with improved ensemble, structural and correlation properties. Two classes of nonlinear complex discrete signals are considered: characteristic discrete signals (CDS) and cryptographic signals (CS). Methods for the synthesis of these signals are presented. The paper gives a statistical simulation model for studying the noise immunity of various classes of signals in the Gaussian channel. Using this model, estimates of the dependence of the error probability on the signal-to-noise ratio were obtained for various classes of signals, namely: CDS, KS and standard BPSK AFM-16 signals. It is shown that for the signal-to-noise ratio – 10 the error probability for the CDR is 4.6875e-06, for the CS is 3.515625e-06, and for the AFM-16 is 0.002025. Thus, the use of nonlinear complex discrete signals, in particular, CDS and KS, can significantly increase the noise immunity of signal reception in modern ICS. At the same time, taking into account the improved ensemble and structural properties of these nonlinear signals, it is possible to improve significantly the indicators of crypto- and imitation security of the systems functioning.
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Ramachandran, R., A. A. Deshpande, and B. W. Stappers. "Search for Single Scattering Events." International Astronomical Union Colloquium 177 (2000): 565–68. http://dx.doi.org/10.1017/s0252921100060632.

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Radio signals, during their passage through the intervening medium, are scattered due to irregularities in the density of free electrons in the interstellar medium. Signals from distant sources undergo, most often,strong & multiple scatteringwhile the signals from nearby sources may be onlyweakly scatteredeven at meter wavelengths. It is likely that the scattering of signals from some nearby sources is possibly non-multiple in nature and hence may show a distinct signature ofsingle or discrete scattering events. In such a situation we receive, along with the direct unscattered signal, only a few discrete delayed versions of the signal. In such a case, it appears possible to probe the properties (such as the size and the density contrast) of the discrete density-irregularities responsible for the scattering, if the associated delays can be measured.
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Dissertations / Theses on the topic "Discrete Signals"

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Majidi, Mohammad Hassan. "Bayesian estimation of discrete signals with local dependencies." Thesis, Supélec, 2014. http://www.theses.fr/2014SUPL0014/document.

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L'objectif de cette thèse est d'étudier le problème de la détection de données dans le système de communication sans fil, à la fois pour le cas de l'information d'état de canal parfaite et imparfaite au niveau du récepteur. Comme on le sait, la complexité de MLSE est exponentielle en la mémoire de canal et la cardinalité de l'alphabet symbole est rapidement ingérable, ce qui force à recourir à des approches sousoptimales. Par conséquent, en premier lieu, nous proposons une nouvelle égalisation itérative lorsque le canal est inconnu à l'émetteur et parfaitement connu au niveau du récepteur. Ce récepteur est basé sur une approche de continuation, et exploite l'idée d'approcher une fonction originale de coût d'optimisation par une suite de fonctions plus dociles et donc de réduire la complexité de calcul au récepteur.En second lieu, en vue de la détection de données sous un canal dynamique linéaire, lorsque le canal est inconnu au niveau du récepteur, le récepteur doit être en mesure d'effectuer conjointement l'égalisation et l'estimation de canal. De cette manière, on formule une représentation de modèle état-espace combiné du système de communication. Par cette représentation, nous pouvons utiliser le filltre de Kalman comme le meilleur estimateur des paramètres du canal. Le but de cette section est de motiver de façon rigoureuse la mise en place du filltre de Kalman dans l'estimation des sequences de Markov par des canaux dynamiques Gaussien. Par la présente, nous interprétons et explicitons les approximations sous-jacentes dans les approaches heuristiques.Enfin, si nous considérons une approche plus générale pour le canal dynamique non linéaire, nous ne pouvons pas utiliser le filtre de Kalman comme le meilleur estimateur. Ici, nous utilisons des modèles commutation d’espace-état (SSSM) comme modèles espace-état non linéaires. Ce modèle combine le modèle de Markov caché (HMM) et le modèle espace-état linéaire (LSSM). Pour l'estimation de canal et la detection de données, l'approche espérance et maximisation (EM) est utilisée comme approche naturelle. De cette façon, le filtre de Kalman étendu (EKF) et les filtres à particules sont évités
The aim of this thesis is to study the problem of data detection in wireless communication system, for both case of perfect and imperfect channel state information at the receiver. As well known, the complexity of MLSE being exponential in the channel memory and in the symbol alphabet cardinality is quickly unmanageable and forces to resort to sub-optimal approaches. Therefore, first we propose a new iterative equalizer when the channel is unknown at the transmitter and perfectly known at the receiver. This receiver is based on continuation approach, and exploits the idea of approaching an original optimization cost function by a sequence of more tractable functions and thus reduce the receiver's computational complexity. Second, in order to data detection under linear dynamic channel, when the channel is unknown at the receiver, the receiver must be able to perform joint equalization and channel estimation. In this way, we formulate a combined state-space model representation of the communication system. By this representation, we can use the Kalman filter as the best estimator for the channel parameters. The aim in this section is to motivate rigorously the introduction of the Kalman filter in the estimation of Markov sequences through Gaussian dynamical channels. By this we interpret and make clearer the underlying approximations in the heuristic approaches. Finally, if we consider more general approach for non linear dynamic channel, we can not use the Kalman filter as the best estimator. Here, we use switching state-space model (SSSM) as non linear state-space model. This model combines the hidden Markov model (HMM) and linear state-space model (LSSM). In order to channel estimation and data detection, the expectation and maximization (EM) procedure is used as the natural approach. In this way extended Kalman filter (EKF) and particle filters are avoided
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Sivaramakrishnan, Kamakshi. "Universal schemes for denoising discrete-time continuous-amplitude signals /." May be available electronically:, 2008. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.

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Trombetta, Jacob J. "Time-Frequency Representation of Musical Signals Using the Discrete Hermite Transform." University of Akron / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=akron1304100211.

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Löhr, Andrea. "A noise reduction method based upon statistical analysis for the detection of weak signals in discrete data." [S.l.] : [s.n.], 2003. http://deposit.ddb.de/cgi-bin/dokserv?idn=968817505.

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Slosman, Brian D. "Design of discrete time radio receiver for the demodulation of power-separated co-channel satellite communication signals." Thesis, Monterey, California: Naval Postgraduate School, 2013. http://hdl.handle.net/10945/37719.

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Approved for public release; distribution is unlimited
This thesis has two purposes: 1) to document the design of a discrete-time radio receiver for the coherent detection of a QPSK signal in the presence of additive white Gaussian noise; and 2) further research into the performance of representative receivers in the successive demodulation of power-separated, co-channel satellite communications signals. Several commercial companies are offering satellite modulators and demodulators that allow frequency reuse over satellite communications links. There are two methods to demodulate these co-channel signals. The first method requires a priori knowledge of one of the two signals linearly superimposed in the satellite downlink. With this knowledge, the known signal is cancelled using subtraction to reveal the unknown co-channel signal. A second method of recovering both signals is possible if adequate power separation of the two signals allows recovery of the strong signal. After recovery of the strong signal, the data can be re-modulated and then cancelled from the composite signal to reveal the weak signal. This method has the advantage of not requiring a priori information which widens the applications for layered modulation techniques to simplex, broadcast, and multi-cast network architectures.
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Raza, Saqlain. "Essays on complementarity : organizational and market changes in agriculture." Thesis, Toulouse, INPT, 2014. http://www.theses.fr/2014INPT0017/document.

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Cette thèse vise à tester pour l’existence d’effet de complémentarités entre différentes activités économiques dans le secteur agricole. Pour cela, nous mobilisons les deux approches que proposent la littérature, à savoir l’approche par la productivité et l’approche par l’adoption. Nous commençons par une revue de la littérature sur l’économie de la complémentarité, en nous focalisant sur ces deux approches de la complémentarité et ses modèles empiriques. Nous proposons ensuite trois analyses empiriques permettant de tester ces modèles. La première explore les déterminants du choix de marque et/ou de signes des qualité par les petites coopératives agricoles françaises, avec un focus particulier sur la coexistence de ces deux signes. La seconde fournit un test direct de complémentarité entre labels et marques en recourant à l’approche par l’adoption. En estimant un probit multinomial, il est en effet possible de séparer l’effet de complémentarité de celui de l’hétérogénéité inobservable. La troisième introduit l’approche par la productivité, en sus de l’approche par l’adoption, pour tester de cet eet de complémentarité dans les systèmes de polyculture élevage adoptés par les petits exploitants de la province du Pendjab au Pakistan
The main objective of this thesis is to test for complementarity between different economic activities in agriculture. To do this, we have recourse to the two approaches proposed by the literature, i.e. the productivity approach and the adoption approach. First, we review the economics of complementarity and analyze the different empirical models to test for complementarity. Then, we propose three empirical analyses testing these models. The first examine closely the drivers of the branding and labeling strategies from French small agricultural co-operatives, with a focus on the coexistence of both quality signals. The second directly test for complementarity between branding and labeling using the adoption approach, by estimating a multinomal probit. This allow us to separate what is really due to complementarity and what is caused by unobserved heterogeneity. Third, in addition to adoption approach, we test for complementarity using a productivity approach in the mixed farming systems adopted by smallholder farmers in Punjab, Pakistan
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Sayyah, Jahromi Mohammad Reza Information Technology &amp Electrical Engineering Australian Defence Force Academy UNSW. "Efficient broadband antenna array processing using the discrete fourier form transform." Awarded by:University of New South Wales - Australian Defence Force Academy. School of Information Technology and Electrical Engineering, 2005. http://handle.unsw.edu.au/1959.4/38690.

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Processing of broadband signals induced on an antenna array using a tapped delay line filter and a set of steering delays has two problems. Firstly one needs to manipulate large matrices to estimate the filter coefficients. Secondly the use of steering delays is not only cumbersome but implementation errors cause loss of system performance. This thesis looks at both of these problems and presents elegant solutions by developing and studying a design method referred to as the DFT method, which does not require steering delays and is computationally less demanding compared to existing methods. Specifically the thesis studies and compares the performance of a time domain element space beamformer using the proposed method and that using an existing method, and develops the DFT method when the processor is implemented in partitioned form. The study presented in the thesis shows that the processors using the DFT method are robust to look direction errors and require less computation than that using the existing method for comparable performance. The thesis further introduces a broadband beamformer design which does not require any steering delays between the sensors and the tapped delay line section as is presently the case. It has the capability of steering the array in an arbitrary direction with a specified frequency response in the look direction while canceling unwanted uncorrelated interferences. The thesis presents and compares the performance of a number of techniques to synthesize an antenna pattern of a broadband array. These techniques are designed to produce isolated point nulls as well as broad sector nulls and to eliminate the need for the steering delays. Two of the pattern synthesis techniques presented in the thesis allow optimization against unwanted interferences in unknown directions. The techniques allow formulation of a beamforming problem such that the processor is not only able to place nulls in specified directions but also able to cancel directional interferences in unknown directions along with a specified frequency response in the look direction over a band of interest. The thesis also presents a set of directional constraints such that one does not need steering delays and an array can be constrained in an arbitrary direction with a specified frequency response. The constraints presented in the thesis are simple to implement. Based on these constraints a pattern synthesis technique for broadband antenna array is also presented.
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Wirsing, Karlton. "Application of Wavelets to Filtering and Analysis of Self-Similar Signals." Thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/78087.

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Digital Signal Processing has been dominated by the Fourier transform since the Fast Fourier Transform (FFT) was developed in 1965 by Cooley and Tukey. In the 1980's a new transform was developed called the wavelet transform, even though the first wavelet goes back to 1910. With the Fourier transform, all information about localized changes in signal features are spread out across the entire signal space, making local features global in scope. Wavelets are able to retain localized information about the signal by applying a function of a limited duration, also called a wavelet, to the signal. As with the Fourier transform, the discrete wavelet transform has an inverse transform, which allows us to make changes in a signal in the wavelet domain and then transform it back in the time domain. In this thesis, we have investigated the filtering properties of this technique and analyzed its performance under various settings. Another popular application of wavelet transform is data compression, such as described in the JPEG 2000 standard and compressed digital storage of fingerprints developed by the FBI. Previous work on filtering has focused on the discrete wavelet transform. Here, we extended that method to the stationary wavelet transform and found that it gives a performance boost of as much as 9 dB over that of the discrete wavelet transform. We also found that the SNR of noise filtering decreases as a frequency of the base signal increases up to the Nyquist limit for both the discrete and stationary wavelet transforms. Besides filtering the signal, the discrete wavelet transform can also be used to estimate the standard deviation of the white noise present in the signal. We extended the developed estimator for the discrete wavelet transform to the stationary wavelet transform. As with filtering, it is found that the quality of the estimate decreases as the frequency of the base signal increases. Many interesting signals are self-similar, which means that one of their properties is invariant on many different scales. One popular example is strict self-similarity, where an exact copy of a signal is replicated on many scales, but the most common property is statistical self-similarity, where a random segment of a signal is replicated on many different scales. In this work, we investigated wavelet-based methods to detect statistical self-similarities in a signal and their performance on various types of self-similar signals. Specifically, we found that the quality of the estimate depends on the type of the units of the signal being investigated for low Hurst exponent and on the type of edge padding being used for high Hurst exponent.
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Mönich, Ullrich Johann [Verfasser], Holger [Akademischer Betreuer] Boche, and Thomas [Akademischer Betreuer] Strohmer. "Reconstruction and Processing of Bandlimited Signals Based on Their Discrete Values / Ullrich Johann Mönich. Gutachter: Holger Boche ; Thomas Strohmer. Betreuer: Holger Boche." München : Universitätsbibliothek der TU München, 2011. http://d-nb.info/1016034962/34.

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Ganesh, Murthy C. N. S. "A Study On Bandpassed Speech From The Point Of Intelligibility." Thesis, Indian Institute of Science, 1989. https://etd.iisc.ac.in/handle/2005/93.

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Speech has been the subject of interest for a very long time. Even with so much advancement in the processing techniques and in the understanding of the source of speech, it is, even today, rather difficult to generate speech in the laboratory in all its aspects. A simple aspect like how the speech can retain its intelligibility even if it is distorted or band passed is not really understood. This thesis deals with one small feature of speech viz., the intelligibility of speech is retained even when it is bandpassed with a minimum bandwidth of around 1 KHz located any where on the speech spectrum of 0-4 KHz. Several experiments have been conducted by the earlier workers by passing speech through various distortors like differentiators, integrators and infinite peak clippers and it is found that the intelligibility is retained to a very large extent in the distorted speech. The integrator and the differentiator remove essentially a certain portion of the spectrum. Therefore, it is thought that the intelligibility of the speech is spread over the entire speech spectrum and that, the intelligibility of speech may not be impaired even when it is bandpassed with a minimum bandwidth and the band may be located any where in the speech spectrum. To test this idea and establish this feature if it exists, preliminary experiments have been conducted by passing the speech through different filters and it is found that the conjecture seems to be on the right line. To carry out systematic experiments on this an experimental set up has been designed and fabricated which consists of a microprocessor controlled speech recording, storing and speech playback system. Also, a personal computer is coupled to the microprocessor system to enable the storage and processing of the data. Thirty persons drawn from different walks of life like teachers, mechanics and students have been involved for collecting the samples and for recognition of the information of the processed speech. Even though the sentences like 'This is devices lab' are used to ascertain the effect of bandwidth on the intelligibility, for the purpose of analysis, vowels are used as the speech samples. The experiments essentially consist of recording words and sentences spoken by the 30 participants and these recorded speech samples are passed through different filters with different bandwidths and central frequencies. The filtered output is played back to the various listeners and observations regarding the intelligibility of the speech are noted. The listeners do not have any prior information about the content of the speech. It has been found that in almost all (95%) cases, the messages or words are intelligible for most of the listeners when the band width of the filter is about 1 KHz and this is independent of the location of the pass band in the spectrum of 0-4 KHz. To understand how this feature of speech arises, spectrums of vowels spoken by 30 people have using FFT algorithms on the digitized samples of the speech. It is felt that there is a cyclic behavior of the spectrum in all the samples. To make sure that the periodicity is present and also to arrive at the periodicity, a moving average procedure is employed to smoothen the spectrum. The smoothened spectrums of all the vowels indeed show a periodicity of about 1 KHz. When the periodicities are analysed the average value of the periodicities has been found to be 1038 Hz with a standard deviation of 19 Hz. In view of this it is thought that the acoustic source responsible for speech must have generated this periodic spectrum, which might have been modified periodically to imprint the intelligibility. If this is true, one can perhaps easily understand this feature of the speech viz., the intelligibility is retained in a bandpassed speech of bandwidth 1 K H z . the pass band located any where in the speech spectrum of 0-4 KHz. This thesis describing the experiments and the analysis of the speech has been presented in 5 chapters. Chapter 1 deals with the basics of speech and the processing tools used to analyse the speech signal. Chapter 2 presents the literature survey from where the present problem is tracked down. Chapter 3 describes the details of the structure and the fabrication of the experimental setup that has been used. In chapter 4, the detailed account of the way in which the experiments are conducted and the way in which the speech is analysed is given. In conclusion in chapter 5, the work is summarised and the future work needed to establish the mechanism of speech responsible for the feature of speech described in this thesis is suggested.
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Books on the topic "Discrete Signals"

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Discrete random signals and statistical signal processing. Englewood Cliffs, NJ: Prentice Hall, 1992.

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Santamarina, J. Carlos, and Dante Fratta. Discrete Signals and Inverse Problems. Chichester, UK: John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470021896.

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1935-, Srinath Mandyam D., ed. Continuous and discrete signals and systems. 2nd ed. Upper Saddle River, NJ: Prentice Hall, 1998.

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1935-, Srinath Mandyam D., ed. Continuous and discrete signals and systems. Englewood Cliffs, N.J: Prentice Hall, 1990.

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H, Tranter William, and Fannin D. Ronald, eds. Signals and systems: Continuous and discrete. 4th ed. Upper Saddle River, NJ: Prentice Hall, 1998.

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Deller, John R. Discrete-time processing of speech signals. New York: Institute of Electrical and Electronics Engineers, 2000.

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G, Proakis John, and Hansen John H. L, eds. Discrete-time processing of speech signals. New York: Macmillan Pub. Co., 1993.

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H, Tranter William, and Fannin D. Ronald, eds. Signals and systems: Continuous and discrete. 3rd ed. New York: Macmillan, 1993.

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H, Tranter William, and Fannin D. Ronald, eds. Signals and systems: Continuous and discrete. 2nd ed. New York: Macmillan, 1989.

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Deller, John R. Discrete-time processing of speech signals. New York: Institute of Electrical and Electronics Engineers, 2000.

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Book chapters on the topic "Discrete Signals"

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Dunlop, J., and D. G. Smith. "Discrete signals." In Telecommunications Engineering, 77–121. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4899-2929-7_3.

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Sundararajan, D. "Discrete Signals." In Signals and Systems, 1–36. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-19377-4_1.

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Dunlop, J., and D. G. Smith. "Discrete Signals." In Telecommunications Engineering, 81–123. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4615-8004-1_3.

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Sundararajan, D. "Discrete-Time Signals." In Digital Signal Processing, 1–36. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62368-5_1.

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Sayood, Khalid. "Discrete Fourier Transform." In Signals and Systems, 223–38. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-031-02545-7_18.

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Sayood, Khalid. "Discrete Time Convolution." In Signals and Systems, 85–103. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-031-02545-7_9.

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Devasahayam, Suresh R. "Discrete Signal Processing for Physiological Signals." In Signals and Systems in Biomedical Engineering: Physiological Systems Modeling and Signal Processing, 135–89. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3531-0_5.

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Gu, Guoxiang. "Signals and Systems." In Discrete-Time Linear Systems, 31–66. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-2281-5_2.

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Sundararajan, D. "The Discrete Fourier Transform." In Signals and Systems, 125–60. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-19377-4_5.

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Sayood, Khalid. "Discrete-Time Feedback Systems." In Signals and Systems, 373–86. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-031-02545-7_30.

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Conference papers on the topic "Discrete Signals"

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Mirchanani, G., Jun Ge, and R. Foote. "On discrete multiresolution analytic signals." In Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings. IEEE, 2003. http://dx.doi.org/10.1109/isspa.2003.1224912.

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Okuyama, Yoshifumi. "Discrete signals, feedback and oscillation." In 2014 IEEE Conference on Norbert Wiener in the 21st Century (21CW). IEEE, 2014. http://dx.doi.org/10.1109/norbert.2014.6893910.

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Jassim, Wissam A., and Raveendran Paramesran. "Speech signals representation by Discrete Transforms." In 2009 International Conference for Technical Postgraduates (TECHPOS). IEEE, 2009. http://dx.doi.org/10.1109/techpos.2009.5412082.

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Bovik, A. C., J. P. Havlicek, and M. D. Desai. "Theorems for discrete filtered modulated signals." In Proceedings of ICASSP '93. IEEE, 1993. http://dx.doi.org/10.1109/icassp.1993.319458.

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Džafić, Dženita, and Izudin Džafić. "Computation of Discrete-Time Analytic Signals." In 2023 XXIX International Conference on Information, Communication and Automation Technologies (ICAT). IEEE, 2023. http://dx.doi.org/10.1109/icat57854.2023.10171310.

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Tewfik, A. H., and M. Deriche. "Parameter estimation for filtered discrete fractal signals." In Fifth ASSP Workshop on Spectrum Estimation and Modeling. IEEE, 1990. http://dx.doi.org/10.1109/spect.1990.205596.

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Khalil, Ethar H. "EHK Index Method for Calculating Discrete Fourier Transform." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86442.

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A new mathematical model has been achieved, for the calculation of DFT and its inversion depending on the indices which represent the shortest way for referring to the elements, pixels or pixels in each slide dealing with 1-D, 2-D, and 3-D digital signals respectively. This method indicates clearly the contribution factor of each input signal element in each output signal element.
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Touri, B., and A. Nedic. "Discrete-time opinion dynamics." In 2011 45th Asilomar Conference on Signals, Systems and Computers. IEEE, 2011. http://dx.doi.org/10.1109/acssc.2011.6190199.

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Muramatsu, Eiichi. "Prediction of discrete-time signals via adaptive estimation." In 2015 10th Asian Control Conference (ASCC). IEEE, 2015. http://dx.doi.org/10.1109/ascc.2015.7244811.

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Sporka, Adam J., Antonín Posusta, Ondrej Poláek, Tomá Flek, and Jakub Otáhal. "Text entry via discrete and analog myoelectric signals." In the 16th international ACM SIGACCESS conference. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2661334.2661426.

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Reports on the topic "Discrete Signals"

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Teolis, Anthony. Discrete Representation of Signals from Infinite Dimensional Hilbert Spaces with Application to Noise Suppression and Compression. Fort Belvoir, VA: Defense Technical Information Center, January 1993. http://dx.doi.org/10.21236/ada453215.

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Díaz Escobar, Ana María, Luz Magdalena Salas Bahamón, Claudia Piras, and Agustina Suaya. What Job Would You Apply to?: Findings on the Impact of Language on Job Searches. Inter-American Development Bank, April 2023. http://dx.doi.org/10.18235/0004856.

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This study tests four "light touch" interventions in the language used in job posts of male- dominated occupations to attract female workers using a discrete choice experiment. This experiment had more than 5000 participants from five Latin American countries. We test two possible mechanisms: the gender-stereotypes related to job skills and the use of inclusive language. We find that language matters, and men and women value information and inclusive language in job advertisements. However, women are more sensitive in this regard. We test the effect of simply aggregating irrelevant, but additional words to the job ad, and find that when the inclusive language in the ad is subtle, the effect of having more words is very important. But it decreases when the language signals a strong preference for an inclusive work environment. These findings highlight the importance of language and the type of information presented in job advertisements in attracting a gender-balanced workforce.
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Chamovitz, Daniel A., and Xing-Wang Deng. Developmental Regulation and Light Signal Transduction in Plants: The Fus5 Subunit of the Cop9 Signalosome. United States Department of Agriculture, September 2003. http://dx.doi.org/10.32747/2003.7586531.bard.

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Plants adjust their growth and development in a manner optimal for the prevailing light conditions. The molecular mechanisms by which light signals are transduced and integrated with other environmental and developmental signals are an area of intense research. (Batschauer, 1999; Quail, 2002) One paradigm emerging from this work is the interconnectedness of discrete physiological responses at the biochemical level, for instance, between auxin and light signaling (Colon-Carmona et al., 2000; Schwechheimer and Deng, 2001; Tian and Reed, 1999) and between light signaling and plant pathogen interactions (Azevedo et al., 2002; Liu et al., 2002). The COP9 signalosome (CSN) protein complex has a central role in the light control of plant development. Arabidopsis mutants that lack this complex develop photomorphogenically even in the absence of light signals (reviewed in (Karniol and Chamovitz, 2000; Schwechheimer and Deng, 2001). Thus the CSN was hypothesized to be a master repressor of photomorphogenesis in darkness, and light acts to bypass or eliminate this repression. However, the CSN regulates more than just photomorphogenesis as all mutants lacking this complex die near the end of seedling development. Moreover, an essentially identical complex was subsequently discovered in animals and yeast, organisms whose development is not light responsive, exemplifying how plant science can lead the way to exciting discoveries in biomedical model species (Chamovitz and Deng, 1995; Freilich et al., 1999; Maytal-Kivity et al., 2002; Mundt et al., 1999; Seeger et al., 1998; Wei et al., 1998). Our long-term objective is to determine mechanistically how the CSN controls plant development. We previously that this complex contains eight subunits (Karniol et al., 1998; Serino et al., 1999) and that the 27 ilia subunit is encoded by the FUS5/CSN7 locus (Karniol et al., 1999). The CSN7 subunit also has a role extraneous to the COP9 signalosome, and differential kinase activity has been implicated in regulating CSN7 and the COP9 signalosome (Karniol et al., 1999). In the present research, we further analyzed CSN7, both in terms of interacting proteins and in terms of kinases that act on CSN7. Furthermore we completed our analysis of the CSN in Arabidopsis by analyzing the remaining subunits. Outline of Original Objectives and Subsequent Modifications The general goal of the proposed research was to study the CSN7 (FUS5) subunit of the COP9 signalosome. To this end we specifically intended to: 1. Identify the residues of CSN7 that are phosphorylated. 2. Monitor the phosphorylation of CSN7 under different environmental conditions and under different genetic backgrounds. 3. Generate transgenic plants with altered CSN7 phosphorylation sites. 4. Purify CSN7 kinase from cauliflower. 5. Clone the Arabidopsis cDNA encoding CSN7 kinase 6. Isolate and characterize additional CSN7 interacting proteins. 7. Characterize the interaction of CSN7 and the COP9 signalosome with the HY5-COP1 transcriptional complex. Throughout the course of the research, emphasis shifted from studying CSN7 phosphorylation (Goals 1-3), to studying the CSN7 kinase (Goal 4 and 5), an in depth analysis of CSN7 interactions (Goal 6), and the study of additional CSN subunits. Goal 7 was also abandoned as no data was found to support this interaction.
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Dew, Eric, and Robert J. Lipshutz. Low Frequency Active Signal Detection Methodology and Simulation Employing Discrete Wavelet Transforms. Fort Belvoir, VA: Defense Technical Information Center, November 1992. http://dx.doi.org/10.21236/ada260007.

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Harjani, Ramesh. Design of High-Performance Survival Radios using Discrete Time Analog Signal Processing. Fort Belvoir, VA: Defense Technical Information Center, January 2011. http://dx.doi.org/10.21236/ada547251.

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Sangston, K. J., and B. H. Cantrell. On the Problem of Optimal Signal Detection in Discrete-Time, Correlated, Non-Gaussian Noise. Fort Belvoir, VA: Defense Technical Information Center, February 1989. http://dx.doi.org/10.21236/ada205859.

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Willsky, Alan S. Multiresolution Signal and System Analysis and the Analysis and Control of Discrete Event Dynamic Systems. Fort Belvoir, VA: Defense Technical Information Center, February 1996. http://dx.doi.org/10.21236/ada305529.

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