Relevant bibliographies by topics / Statistical and digital signal processing

Contents

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

Academic literature on the topic 'Statistical and digital signal processing'

Author: Grafiati
Published: 25 May 2024

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Journal articles on the topic "Statistical and digital signal processing"

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Gruber, Marvin H. J. "Statistical Digital Signal Processing and Modeling." Technometrics 39, no. 3 (August 1997): 335–36. http://dx.doi.org/10.1080/00401706.1997.10485128.

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Istomin, Andrey, and Egor Demidchenko. "DIGITAL PROCESSING OF THE ELECTROMYOGRAM SIGNAL." Modern Technologies and Scientific and Technological Progress 2020, no. 1 (June 16, 2020): 111–12. http://dx.doi.org/10.36629/2686-9896-2020-1-111-112.

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As a result of the study of physiological processes occurring in the human hand, data were obtained that are subject to analysis and statistical processing in the environment for solving engineering and scientific problems of Matlab
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Sala-Alvarez, J., and G. Vazquez-Grau. "Statistical reference criteria for adaptive signal processing in digital communications." IEEE Transactions on Signal Processing 45, no. 1 (1997): 14–31. http://dx.doi.org/10.1109/78.552202.

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Qi, Yang, Taichu Shi, and Ben Wu. "Wideband Mixed Signal Separation Based on Photonic Signal Processing." Telecom 2, no. 4 (November 2, 2021): 413–29. http://dx.doi.org/10.3390/telecom2040024.

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The growing needs for high-speed and secure communications create an increasing challenge to the contemporary framework of signal processing. The coexistence of multiple high-speed wireless communication systems generates wideband interference. To protect the security and especially the privacy of users’ communications requires stealth communication that hides and recovers private information against eavesdropping attacks. The major problem in interference management and stealth information recovery is to separate the signal of interest from wideband interference/noise. However, the increasing signal bandwidth presents a real challenge to existing capabilities in separating the mixed signal and results in unacceptable latency. The photonic circuit processes a signal in an analog way with a unanimous frequency response over GHz bandwidth. The digital processor measures the statistical patterns of the signals with sampling rate orders of magnitude smaller than the Nyquist frequency. Under-sampling the signals significantly reduces the workload of the digital processor while providing accurate control of the photonic circuit to perform the real-time signal separations. The wideband mixed signal separation, based on photonic signal processing is scalable to multiple stages with the performance of each stage accrued.
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A.O., Bello, and Kabari L.G. "Digital Signal Processing for Predicting Stock Prices." British Journal of Computer, Networking and Information Technology 4, no. 2 (September 5, 2021): 12–21. http://dx.doi.org/10.52589/bjcnit-xnp3ubpl.

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With the exponential growth of big data and data warehousing, the amount of data collected from various stock markets around the world has increased significantly. It is now impossible to process and analyze data using mathematical techniques and basic statistical calculations to forecast trends such as closing and opening prices, as well as daily stock market lows and highs. The development of smart and automated stock market forecasting systems has made significant progress in recent years. Digital signal processing is required for analysis and preprocessing because of the accuracy and speed with which these large amounts of data must be processed and analyzed. In this paper, we evaluate some of these predictive algorithms based on three parameters such as speed, accuracy and complexity, we analyze the data using the dataset from kaggle.com and we implement these algorithms using pythons. The results of our analysis in this paper shows a significant correlation between the yearly prices until the year 2018 where there is a significant increase in stock price.
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Karachun, V. Ya. "Digital signal processing using Schauder functions." Journal of Mathematical Sciences 71, no. 4 (September 1994): 2599–601. http://dx.doi.org/10.1007/bf02111964.

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Dempster, A. G., and M. D. Macleod. "Variable statistical wordlength in digital filters." IEE Proceedings - Vision, Image, and Signal Processing 143, no. 1 (1996): 62. http://dx.doi.org/10.1049/ip-vis:19960256.

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Tulyakova, N. O., and O. M. Trofymchuk. "Modified algorithms for signal nonlinear trend detection." Radiotekhnika, no. 206 (September 24, 2021): 137–51. http://dx.doi.org/10.30837/rt.2021.3.206.13.

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There is a problem of nonlinear (abrupt) signal trend detection in many digital signals processing practical applications. In particular, in the field of biomedical signals processing, the actual task is the elimination of abrupt signal baseline distortions caused by the patient's movements. For processing such signals containing edges and other discontinues, linear filtering based on discrete Fourier or cosine transforms leads to significant smoothing of a signal. Median type algorithms related to nonlinear stable (robust) filters are successfully applied for filtering such signals, in particular, high efficiency is provided by median hybrid filters with finite impulse response (FIR). The article considers simple algorithms of the class of FIR-median hybrid filters used for signal nonlinear trend detection. It is proposed to modify these algorithms by replacing the operation of finding the median of the data in the sliding filter window with the calculation of their myriad, as well as adding weights (number of duplications) to certain window elements. Statistical estimates of filter efficiency according to the mean square error (MSE) criterion for test signals like “step” and “ramp” edges, and triangular peak and parabola have been obtained. The high efficiency of the investigated nonlinear filters for the listed test signals types and the improvements achieved as a result of the proposed filter modifications are shown based on the analysis of the filter output signals and statistical estimates of their quality. Some examples of processing biomedical signals of electroencephalograms which illustrate good quality of noise suppression and signal abrupt changes preservation, and motion artifacts removal without large signal distortions are given.
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Глушков, А. Н., Ю. В. Литвиненко, Б. Н. Тишуков, and Е. В. Черноярова. "DIGITAL SIGNAL DEMODULATOR WITH AMPLITUDE-PHASE MANIPULATION." ВЕСТНИК ВОРОНЕЖСКОГО ГОСУДАРСТВЕННОГО ТЕХНИЧЕСКОГО УНИВЕРСИТЕТА 19, no. 5 (November 7, 2023): 115–20. http://dx.doi.org/10.36622/vstu.2023.19.5.016.

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исследуется оптимальный цифровой алгоритм когерентной демодуляции сигналов с амплитудно-фазовой манипуляцией (АФМ или APSK). Демодуляция фазы выполняется на основе фазового детектора сигналов с многопозиционной фазовой манипуляцией, а амплитуды символов определяются по откликам квадратурных каналов обработки сигнала. Проведен анализ алгоритма обработки сигнала с АФМ, рассмотрены временные реализации откликов демодулятора. Определена помехоустойчивость демодуляции для сигналов с двухуровневой АФМ для двух наиболее распространенных вариантов созвездий, оценены вероятности ошибочной демодуляции фазы и амплитуды сигнала, дан сравнительный анализ помехоустойчивости сигналов с различными созвездиями. Рассмотрена помехоустойчивость демодуляции сигналов с амплитудной относительно-фазовой манипуляцией (АОФМ), дан сравнительный анализ потерь в отношении сигнал/шум по сравнению с АФМ для различных вариантов созвездий. Проведено статистическое имитационное моделирование алгоритма демодуляции при воздействии шумовой помехи. Исследовано влияние на помехоустойчивость погрешностей оценки пороговых уровней принимаемых сигналов. Реализация демодулятора ориентирована на программируемые логические интегральные схемы (ПЛИС) the optimal digital algorithm for coherent demodulation of signals with amplitude-phase modulation (APSK) is investigated. Phase demodulation is performed on the basis of a phase detector of signals with multi-position phase manipulation, and the amplitudes of symbols are determined by the responses of quadrature signal processing channels. The analysis of the algorithm of signal processing with APSK is carried out, the time realizations of the responses of the de-modulator are considered. The noise immunity of demodulation for signals with a two-level APSK for the two most common variants of constellations is determined, the probabilities of erroneous demodulation of the phase and amplitude of the signal are estimated, a comparative analysis of the noise immunity of signals with different constellations is given. The noise immunity of demodulation of signals with amplitude relative-phase manipulation (ARFM) is considered, a comparative analysis of signal-to-noise losses in comparison with APSK for various constellation variations is given. Statistical simulation of the demodulation algorithm under the influence of noise interference is carried out. The influence of errors in the estimation of threshold levels of the received signals on the noise immunity is investigated. The implementation of the demodulator is focused on programmable logic integrated circuits (FPGAs)
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Semenishchev, Evgenii, Igor Shraifel, and Ilya Svirin. "Two approaches to solving the problem of smoothing digital signals based on a combined criterion." Serbian Journal of Electrical Engineering 14, no. 3 (2017): 365–77. http://dx.doi.org/10.2298/sjee1703365s.

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The paper presents a method for smoothing signals represented by a single realization of a finite-length random process, under conditions of a limited amount of a priori information about the signal function and statistical characteristics the noise component. The recommendations on the use of parameters affecting the processing speed and the efficiency of smoothing are given. Two solutions are presented to obtain the result of smoothing the signals. The efficiency results are shown for the processing of digital signals. Examples of comparison of simple methods and suggested ones are given.
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Dissertations / Theses on the topic "Statistical and digital signal processing"

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Wu, Tsan-Ming. "Statistical impulse reponse modeling and dereverberation for room acoustics." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/14932.

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黃俊賢 and Chun-yin Vong. "Performance study of uniform sampling digital phase-locked loopsfor [Pi]/4-differentially encoded quaternary phase-shift keying." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1998. http://hub.hku.hk/bib/B31221816.

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Chan, Francis Chun Ngai Electrical Engineering &amp Telecommunications Faculty of Engineering UNSW. "Statistical methods on detecting superpositional signals in a wireless channel." Awarded by:University of New South Wales. School of Electrical Engineering and Telecommunications, 2006. http://handle.unsw.edu.au/1959.4/30596.

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The objective of the thesis is concerned on the problem of detecting superpositional signals in a wireless channel. In many wireless systems, an observed signal is commonly represented as a linear combination of the transmitted signal with the interfering signals dispersed in space and time. These systems are generally known as the interference-limited systems. The mathematical model of these systems is generally referred as a superpositional model. A distinguished characteristic of signal transmission in a time-varying wireless channel is that the channel process is not known a priori. Reliable signal reception inherently requires exploiting the structure of the interfering signals under channel uncertainty. Our goal is to design computational efficient receivers for various interference-limited systems by using advanced statistical signal processing techniques. The thesis consists of four main parts. Firstly, we have proposed a novel Multi-Input Multi-Output (MIMO) signal detector, known as the neighbourhood exploring detector (NED). According to the maximum likelihood principle, the space time MIMO detection problem is equivalent to a NP-hard combinatorial optimization problem. The proposed detector is a sub-optimal maximum likelihood detector which eliminates exhaustive multidimensional searches. Secondly, we address the problem of signal synchronization for Global Positioning System (GPS) in a multipath environment. The problem of multipath mitigation constitutes a joint estimation of the unknown amplitudes, phases and time delays of the linearly combined signals. The complexity of the nonlinear joint estimation problem increases exponentially with the number of signals. We have proposed two robust GPS code acquisition systems with low complexities. Thirdly, we deal with the problem of multipath mitigation in the spatial domain. A GPS receiver integrated with the Inertial Navigation System (INS) and a multiple antenna array is considered. We have designed a software based GPS receiver which effectively estimates the directions of arrival and the time of arrival of the linearly combined signals. Finally, the problem of communications with unknown channel state information is investigated. Conventionally, the information theoretical communication problem and the channel estimation problem are decoupled. However the training sequence, which facilitates the estimation of the channel, reduces the throughput of the channel. We have analytically derived the optimal length of the training sequence which maximizes the mutual information in a block fading channel.
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Le, Faucheur Xavier Jean Maurice. "Statistical methods for feature extraction in shape analysis and bioinformatics." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/33911.

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The presented research explores two different problems of statistical data analysis. In the first part of this thesis, a method for 3D shape representation, compression and smoothing is presented. First, a technique for encoding non-spherical surfaces using second generation wavelet decomposition is described. Second, a novel model is proposed for wavelet-based surface enhancement. This part of the work aims to develop an efficient algorithm for removing irrelevant and noise-like variations from 3D shapes. Surfaces are encoded using second generation wavelets, and the proposed methodology consists of separating noise-like wavelet coefficients from those contributing to the relevant part of the signal. The empirical-based Bayesian models developed in this thesis threshold wavelet coefficients in an adaptive and robust manner. Once thresholding is performed, irrelevant coefficients are removed and the inverse wavelet transform is applied to the clean set of wavelet coefficients. Experimental results show the efficiency of the proposed technique for surface smoothing and compression. The second part of this thesis proposes using a non-parametric clustering method for studying RNA (RiboNucleic Acid) conformations. The local conformation of RNA molecules is an important factor in determining their catalytic and binding properties. RNA conformations can be characterized by a finite set of parameters that define the local arrangement of the molecule in space. Their analysis is particularly difficult due to the large number of degrees of freedom, such as torsion angles and inter-atomic distances among interacting residues. In order to understand and analyze the structural variability of RNA molecules, this work proposes a methodology for detecting repetitive conformational sub-structures along RNA strands. Clusters of similar structures in the conformational space are obtained using a nearest-neighbor search method based on the statistical mechanical Potts model. The proposed technique is a mostly automatic clustering algorithm and may be applied to problems where there is no prior knowledge on the structure of the data space, in contrast to many other clustering techniques. First, results are reported for both single residue conformations- where the parameter set of the data space includes four to seven torsional angles-, and base pair geometries. For both types of data sets, a very good match is observed between the results of the proposed clustering method and other known classifications, with only few exceptions. Second, new results are reported for base stacking geometries. In this case, the proposed classification is validated with respect to specific geometrical constraints, while the content and geometry of the new clusters are fully analyzed.
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Kjellson, Angelica. "Sound Source Localization and Beamforming for Teleconferencing Solutions." Thesis, Umeå universitet, Institutionen för matematik och matematisk statistik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-89707.

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In teleconferencing the audio quality is key to conducting successful meetings. The conference room setting imposes various challenges on the speech signal processing, such as noise and interfering signals, reverberation, or participants positioned far from the telephone unit. This work aims at improving the received speech signal of a conference telephone by implementing sound source localization and beamforming. The implemented microphone array signal processing techniques are compared to the performance of an existing multi-microphone solution and evaluated under various conditions using a planar uniform circular array. Recordings of test-sequences for the evaluation were performed using a custom-built array mockup. The implemented algorithms did not show good enough performance to motivate the increased computational complexity compared to the existing solution. Moreover, an increase in number of microphones used was concluded to have little or no effect on the performance of the methods. The type of microphone used was, however, concluded to have impact on the performance and a subjective listening evaluation indicated a preference for omnidirectional microphones which is recommended to investigate further.
God ljudkvalitet är en grundsten för lyckade telefonmöten. Miljön i ett konferens-rum medför ett flertal olika utmaningar för behandlingen av mikrofonsignalerna: det kan t.ex. vara brus och störningar, eller att den som talar befinner sig långt från telefonen. Målet med detta arbete är att förbättra den talsignal som tas upp av en konferenstelefon genom att implementera lösningar för lokalisering av talaren och riktad ljudupptagning med hjälp av ett flertal mikrofoner. De implementerade metoderna jämförs med en befintlig lösning och utvärderas under olika brusscenarion för en likformig cirkulär mikrofonkonstellation. För utvärderingen användes testsignaler som spelades in med en specialbyggd enhet. De implementerade algoritmerna kunde inte uppvisa en tillräcklig förbättring i jämförelse med den befintliga lösningen för att motivera den ökade beräkningskomplexitet de skulle medföra. Dessutom konstaterades att en fördubbling av antalet mikrofoner gav liten eller ingen förbättring på metoderna. Vilken typ av mikrofon som användes konstaterades däremot påverka resultatet och en subjektiv utvärdering indikerade en preferens för de rundupptagande mikrofonerna, en skillnad som föreslås undersökas vidare.
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Frankford, Mark Thomas. "EXPLORATION OF MIMO RADAR TECHNIQUES WITH A SOFTWARE-DEFINED RADAR." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306526246.

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Luo, Chenchi. "Non-uniform sampling: algorithms and architectures." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45873.

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Modern signal processing applications emerging in telecommunication and instrumentation industries have placed an increasing demand for ADCs with higher speed and resolution. The most fundamental challenge in such a progress lies at the heart of the classic signal processing: the Shannon-Nyquist sampling theorem which stated that when sampled uniformly, there is no way to increase the upper frequency in the signal spectrum and still unambiguously represent the signal except by raising the sampling rate. This thesis is dedicated to the exploration of the ways to break through the Shannon-Nyquist sampling rate by applying non-uniform sampling techniques. Time interleaving is probably the most intuitive way to parallel the uniform sampling process in order to achieve a higher sampling rate. Unfortunately, the channel mismatches in the TIADC system make the system an instance of a recurrent non-uniform sampling system whose non-uniformities are detrimental to the performance of the system and need to be calibrated. Accordingly, this thesis proposed a flexible and efficient architecture to compensate for the channel mismatches in the TIADC system. As a key building block in the calibration architecture, the design of the Farrow structured adjustable fractional delay filter has been investigated in detail. A new modified Farrow structure is proposed to design the adjustable FD filters that are optimized for a given range of bandwidth and fractional delays. The application of the Farrow structure is not limited to the design of adjustable fractional delay filters. It can also be used to implement adjustable lowpass, highpass and bandpass filters as well as adjustable multirate filters. This thesis further extends the Farrow structure to the design of filters with adjustable polynomial phase responses. Inspired by the theory of compressive sensing, another contribution of this thesis is to use randomization as a means to overcome the limit of the Nyquist rate. This thesis investigates the impact of random sampling intervals or jitters on the power spectrum of the sampled signal. It shows that the aliases of the original signal can be well shaped by choosing an appropriate probability distribution of the sampling intervals or jitters such that aliases can be viewed as a source of noise in the signal power spectrum. A new theoretical framework has been established to associate the probability mass function of the random sampling intervals or jitters with the aliasing shaping effect. Based on the theoretical framework, this thesis proposes three random sampling architectures, i.e., SAR ADC, ramp ADC and level crossing ADC, that can be easily implemented based on the corresponding standard ADC architectures. Detailed models and simulations are established to verify the effectiveness of the proposed architectures. A new reconstruction algorithm called the successive sine matching pursuit has also been proposed to recover a class of spectrally sparse signals from a sparse set of non-uniform samples onto a denser uniform time grid so that classic signal processing techniques can be applied afterwards.
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Vargas, Paredero David Eduardo. "Transmit and Receive Signal Processing for MIMO Terrestrial Broadcast Systems." Doctoral thesis, Universitat Politècnica de València, 2016. http://hdl.handle.net/10251/66081.

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[EN] Multiple-Input Multiple-Output (MIMO) technology in Digital Terrestrial Television (DTT) networks has the potential to increase the spectral efficiency and improve network coverage to cope with the competition of limited spectrum use (e.g., assignment of digital dividend and spectrum demands of mobile broadband), the appearance of new high data rate services (e.g., ultra-high definition TV - UHDTV), and the ubiquity of the content (e.g., fixed, portable, and mobile). It is widely recognised that MIMO can provide multiple benefits such as additional receive power due to array gain, higher resilience against signal outages due to spatial diversity, and higher data rates due to the spatial multiplexing gain of the MIMO channel. These benefits can be achieved without additional transmit power nor additional bandwidth, but normally come at the expense of a higher system complexity at the transmitter and receiver ends. The final system performance gains due to the use of MIMO directly depend on physical characteristics of the propagation environment such as spatial correlation, antenna orientation, and/or power imbalances experienced at the transmit aerials. Additionally, due to complexity constraints and finite-precision arithmetic at the receivers, it is crucial for the overall system performance to carefully design specific signal processing algorithms. This dissertation focuses on transmit and received signal processing for DTT systems using MIMO-BICM (Bit-Interleaved Coded Modulation) without feedback channel to the transmitter from the receiver terminals. At the transmitter side, this thesis presents investigations on MIMO precoding in DTT systems to overcome system degradations due to different channel conditions. At the receiver side, the focus is given on design and evaluation of practical MIMO-BICM receivers based on quantized information and its impact in both the in-chip memory size and system performance. These investigations are carried within the standardization process of DVB-NGH (Digital Video Broadcasting - Next Generation Handheld) the handheld evolution of DVB-T2 (Terrestrial - Second Generation), and ATSC 3.0 (Advanced Television Systems Committee - Third Generation), which incorporate MIMO-BICM as key technology to overcome the Shannon limit of single antenna communications. Nonetheless, this dissertation employs a generic approach in the design, analysis and evaluations, hence, the results and ideas can be applied to other wireless broadcast communication systems using MIMO-BICM.
[ES] La tecnología de múltiples entradas y múltiples salidas (MIMO) en redes de Televisión Digital Terrestre (TDT) tiene el potencial de incrementar la eficiencia espectral y mejorar la cobertura de red para afrontar las demandas de uso del escaso espectro electromagnético (e.g., designación del dividendo digital y la demanda de espectro por parte de las redes de comunicaciones móviles), la aparición de nuevos contenidos de alta tasa de datos (e.g., ultra-high definition TV - UHDTV) y la ubicuidad del contenido (e.g., fijo, portable y móvil). Es ampliamente reconocido que MIMO puede proporcionar múltiples beneficios como: potencia recibida adicional gracias a las ganancias de array, mayor robustez contra desvanecimientos de la señal gracias a la diversidad espacial y mayores tasas de transmisión gracias a la ganancia por multiplexado del canal MIMO. Estos beneficios se pueden conseguir sin incrementar la potencia transmitida ni el ancho de banda, pero normalmente se obtienen a expensas de una mayor complejidad del sistema tanto en el transmisor como en el receptor. Las ganancias de rendimiento finales debido al uso de MIMO dependen directamente de las características físicas del entorno de propagación como: la correlación entre los canales espaciales, la orientación de las antenas y/o los desbalances de potencia sufridos en las antenas transmisoras. Adicionalmente, debido a restricciones en la complejidad y aritmética de precisión finita en los receptores, es fundamental para el rendimiento global del sistema un diseño cuidadoso de algoritmos específicos de procesado de señal. Esta tesis doctoral se centra en el procesado de señal, tanto en el transmisor como en el receptor, para sistemas TDT que implementan MIMO-BICM (Bit-Interleaved Coded Modulation) sin canal de retorno hacia el transmisor desde los receptores. En el transmisor esta tesis presenta investigaciones en precoding MIMO en sistemas TDT para superar las degradaciones del sistema debidas a diferentes condiciones del canal. En el receptor se presta especial atención al diseño y evaluación de receptores prácticos MIMO-BICM basados en información cuantificada y a su impacto tanto en la memoria del chip como en el rendimiento del sistema. Estas investigaciones se llevan a cabo en el contexto de estandarización de DVB-NGH (Digital Video Broadcasting - Next Generation Handheld), la evolución portátil de DVB-T2 (Second Generation Terrestrial), y ATSC 3.0 (Advanced Television Systems Commitee - Third Generation) que incorporan MIMO-BICM como clave tecnológica para superar el límite de Shannon para comunicaciones con una única antena. No obstante, esta tesis doctoral emplea un método genérico tanto para el diseño, análisis y evaluación, por lo que los resultados e ideas pueden ser aplicados a otros sistemas de comunicación inalámbricos que empleen MIMO-BICM.
[CAT] La tecnologia de múltiples entrades i múltiples eixides (MIMO) en xarxes de Televisió Digital Terrestre (TDT) té el potencial d'incrementar l'eficiència espectral i millorar la cobertura de xarxa per a afrontar les demandes d'ús de l'escàs espectre electromagnètic (e.g., designació del dividend digital i la demanda d'espectre per part de les xarxes de comunicacions mòbils), l'aparició de nous continguts d'alta taxa de dades (e.g., ultra-high deffinition TV - UHDTV) i la ubiqüitat del contingut (e.g., fix, portàtil i mòbil). És àmpliament reconegut que MIMO pot proporcionar múltiples beneficis com: potència rebuda addicional gràcies als guanys de array, major robustesa contra esvaïments del senyal gràcies a la diversitat espacial i majors taxes de transmissió gràcies al guany per multiplexat del canal MIMO. Aquests beneficis es poden aconseguir sense incrementar la potència transmesa ni l'ample de banda, però normalment s'obtenen a costa d'una major complexitat del sistema tant en el transmissor com en el receptor. Els guanys de rendiment finals a causa de l'ús de MIMO depenen directament de les característiques físiques de l'entorn de propagació com: la correlació entre els canals espacials, l'orientació de les antenes, i/o els desequilibris de potència patits en les antenes transmissores. Addicionalment, a causa de restriccions en la complexitat i aritmètica de precisió finita en els receptors, és fonamental per al rendiment global del sistema un disseny acurat d'algorismes específics de processament de senyal. Aquesta tesi doctoral se centra en el processament de senyal tant en el transmissor com en el receptor per a sistemes TDT que implementen MIMO-BICM (Bit-Interleaved Coded Modulation) sense canal de tornada cap al transmissor des dels receptors. En el transmissor aquesta tesi presenta recerques en precoding MIMO en sistemes TDT per a superar les degradacions del sistema degudes a diferents condicions del canal. En el receptor es presta especial atenció al disseny i avaluació de receptors pràctics MIMO-BICM basats en informació quantificada i al seu impacte tant en la memòria del xip com en el rendiment del sistema. Aquestes recerques es duen a terme en el context d'estandardització de DVB-NGH (Digital Video Broadcasting - Next Generation Handheld), l'evolució portàtil de DVB-T2 (Second Generation Terrestrial), i ATSC 3.0 (Advanced Television Systems Commitee - Third Generation) que incorporen MIMO-BICM com a clau tecnològica per a superar el límit de Shannon per a comunicacions amb una única antena. No obstant açò, aquesta tesi doctoral empra un mètode genèric tant per al disseny, anàlisi i avaluació, per la qual cosa els resultats i idees poden ser aplicats a altres sistemes de comunicació sense fils que empren MIMO-BICM.
Vargas Paredero, DE. (2016). Transmit and Receive Signal Processing for MIMO Terrestrial Broadcast Systems [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/66081
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Zanetti, Ricardo Antonio 1978. "Separação de eventos sísmicos por métodos de decomposição de sinais." [s.n.], 2013. http://repositorio.unicamp.br/jspui/handle/REPOSIP/259285.

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Orientadores: João Marcos Travassos Romano, Leonardo Tomazeli Duarte
Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação
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Mestrado
Telecomunicações e Telemática
Mestre em Engenharia Elétrica
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Van, den Broeck Samuel. "Optique statistique appliquée à la granulométrie submicronique : simulation d'un signal gaussien lorentzien." Rouen, 1998. http://www.theses.fr/1998ROUES020.

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Ce travail a pour objet de simuler le signal généré par des particules lors d'une diffusion quasi élastique de la lumière. Le but est de disposer d'un outil numérique susceptible de reproduire diverses configurations expérimentales et de pouvoir évaluer de nouvelles méthodes d'analyses du signal enregistré. La simulation proposée génère les temps d'arrivée des photoélectrons issues d'un photomultiplicateur. Nous nous sommes limités ici au cas connu théoriquement d'un ensemble de particules sphériques monodispersées. Les différentes étapes du calcul sont : 1. Génération d'un signal gaussien lorentzien à partir d'un bruit blanc filtre. Ce signal simule le champ diffusé par les particules ; 2. Génération d'un processus de poisson non homogène à partir du signal gaussien lorentzien. Ce processus simule la réponse de la photocathode à l'intensité diffusée. Le nombre de points maximum généré par fichier est de 524288 (2#1#9). La validité de la simulation est testée en comparant des statistiques de premier et de deuxième ordre du champ diffusé par les particules avec leurs valeurs initiales. La densité de probabilité des intervalles de temps des photoélectrons et la fonction d'autocorrélation du nombre de photocoups sont comparées favorablement avec leurs expressions théoriques respectives.
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Books on the topic "Statistical and digital signal processing"

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Veloni, Anastasia, Nikolaos I. Miridakis, and Erysso Boukouvala. Digital and Statistical Signal Processing. Boca Raton : Taylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa, plc, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/9780429507526.

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

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Statistical digital signal processing and modeling. New Delhi: Wiley, 2014.

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Statistical digital signal processing and modeling. New York: John Wiley & Sons, 1996.

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Hirsch, Herbert L. Statistical signal characterization. Boston: Artech House, 1992.

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Digital signal processing: Theory and practice. River Edge, NJ: World Scientific, 2003.

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Feuer, Arie. Sampling in digital signal processing and control. Boston: Birkhäuser, 1996.

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Statistical signal processing for neuroscience and neurotechnology. Burlington, MA: Academic Press, 2011.

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Restoration of lost samples in digital signals. New York: Prentice Hall, 1990.

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Digital processing of random signals: Theory and methods. Englewood Cliffs, N.J: Prentice Hall, 1994.

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Book chapters on the topic "Statistical and digital signal processing"

1

Gopi, E. S. "Statistical Signal Processing." In Multi-Disciplinary Digital Signal Processing, 147–75. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57430-1_5.

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Veloni, Anastasia, Nikolaos I. Miridakis, and Erysso Boukouvala. "Statistical Models." In Digital and Statistical Signal Processing, 383–404. Boca Raton : Taylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa, plc, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/9780429507526-7.

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Veloni, Anastasia, Nikolaos I. Miridakis, and Erysso Boukouvala. "Fundamentals of Signal Detection." In Digital and Statistical Signal Processing, 479–516. Boca Raton : Taylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa, plc, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/9780429507526-10.

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Veloni, Anastasia, Nikolaos I. Miridakis, and Erysso Boukouvala. "Design of Digital Filters." In Digital and Statistical Signal Processing, 287–380. Boca Raton : Taylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa, plc, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/9780429507526-6.

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Veloni, Anastasia, Nikolaos I. Miridakis, and Erysso Boukouvala. "Introduction." In Digital and Statistical Signal Processing, 3–44. Boca Raton : Taylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa, plc, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/9780429507526-1.

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Veloni, Anastasia, Nikolaos I. Miridakis, and Erysso Boukouvala. "Discrete-Time Signals and Systems." In Digital and Statistical Signal Processing, 45–112. Boca Raton : Taylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa, plc, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/9780429507526-2.

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Veloni, Anastasia, Nikolaos I. Miridakis, and Erysso Boukouvala. "z-Transform." In Digital and Statistical Signal Processing, 113–78. Boca Raton : Taylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa, plc, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/9780429507526-3.

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Veloni, Anastasia, Nikolaos I. Miridakis, and Erysso Boukouvala. "Structures for the Realization of Discrete-Time Systems." In Digital and Statistical Signal Processing, 179–210. Boca Raton : Taylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa, plc, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/9780429507526-4.

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Veloni, Anastasia, Nikolaos I. Miridakis, and Erysso Boukouvala. "Frequency Domain Analysis." In Digital and Statistical Signal Processing, 211–86. Boca Raton : Taylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa, plc, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/9780429507526-5.

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Veloni, Anastasia, Nikolaos I. Miridakis, and Erysso Boukouvala. "Fundamental Principles of Parametric Estimation." In Digital and Statistical Signal Processing, 405–54. Boca Raton : Taylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa, plc, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/9780429507526-8.

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Conference papers on the topic "Statistical and digital signal processing"

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Kyprianou, Ross, Peter Schachte, and Bill Moran. "Dauphin: A Signal Processing Language - Statistical Signal Processing Made Easy." In 2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA). IEEE, 2015. http://dx.doi.org/10.1109/dicta.2015.7371250.

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Lawrance, A. J. "Chaos communication performance analysis: Taking advantage of statistical theory." In Digital Signal Processing (CSNDSP). IEEE, 2008. http://dx.doi.org/10.1109/csndsp.2008.4610716.

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Jacobsson, Sven, Yasaman Ettefagh, Giuseppe Durisi, and Christoph Studer. "All-Digital Massive Mimo With a Fronthaul Constraint." In 2018 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2018. http://dx.doi.org/10.1109/ssp.2018.8450779.

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Muller, Ralf R. "Energy-Efficient Digital Beamforming by Means of Linear Computation Coding." In 2021 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2021. http://dx.doi.org/10.1109/ssp49050.2021.9513777.

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Bateman, Philip, Anthony T. S. Ho, and Alan Woodward. "Image forensics of digital cameras by analysing image variations using Statistical Process Control." In Signal Processing (ICICS). IEEE, 2009. http://dx.doi.org/10.1109/icics.2009.5397649.

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Tran, Dang Ninh, Ba Linh Vu, and Xuan Nguyen Tien. "Improved Deterministic Usage of the Elliptic Curve Digital Signature Algorithm with Scrypt." In 2023 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2023. http://dx.doi.org/10.1109/ssp53291.2023.10207927.

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Shayovitz, Shachar, and Dan Raphaeli. "Robust Low Complexity Digital Self Interference Cancellation for Multi Channel Full Duplex Systems." In 2018 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2018. http://dx.doi.org/10.1109/ssp.2018.8450827.

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Gherekhloo, Sepideh, Khaled Ardah, and Martin Haardt. "Fully Digital and Hybrid Beamforming Design for Millimeter-Wave MIMO-OFDM Two-Way Relaying Systems." In 2021 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2021. http://dx.doi.org/10.1109/ssp49050.2021.9513786.

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Paskov, M. "Exploiting signal statistics in nonlinear digital signal processing." In 45th European Conference on Optical Communication (ECOC 2019). Institution of Engineering and Technology, 2019. http://dx.doi.org/10.1049/cp.2019.0946.

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Loza, Artur, Alin Achim, David Bull, and Nishan Canagarajah. "Statistical Image Fusion with Generalised Gaussian and Alpha-Stable Distributions." In 2007 15th International Conference on Digital Signal Processing. IEEE, 2007. http://dx.doi.org/10.1109/icdsp.2007.4288570.

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Reports on the topic "Statistical and digital signal processing"

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Thomas, J. B., and K. Steiglitz. Digital Signal Processing. Fort Belvoir, VA: Defense Technical Information Center, December 1988. http://dx.doi.org/10.21236/ada203744.

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Kassam, Saleem A. Statistical Techniques for Signal Processing. Fort Belvoir, VA: Defense Technical Information Center, December 1986. http://dx.doi.org/10.21236/ada185774.

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Kassam, Saleem A. Statistical Techniques for Signal Processing. Fort Belvoir, VA: Defense Technical Information Center, January 1993. http://dx.doi.org/10.21236/ada262731.

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Kassam, S. A. Statistical Techniques for Signal Processing. Fort Belvoir, VA: Defense Technical Information Center, May 1985. http://dx.doi.org/10.21236/ada167164.

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Amin, Moeness G. The 10th IEEE Signal Processing Workshop on Statistical Signal and Array Processing. Fort Belvoir, VA: Defense Technical Information Center, October 2000. http://dx.doi.org/10.21236/ada383267.

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Roberts, Richard A. VLSI Implementations for Digital Signal Processing. Fort Belvoir, VA: Defense Technical Information Center, December 1987. http://dx.doi.org/10.21236/ada189612.

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Collins, Leslie M. Statistical Signal Processing for Demining: Experimental Validation. Fort Belvoir, VA: Defense Technical Information Center, June 1999. http://dx.doi.org/10.21236/ada370676.

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Collins, Leslie, Peter Torrione, Stacy Tantum, and Chris Ratto. Statistical Signal Processing Research for Landmine Detection. Fort Belvoir, VA: Defense Technical Information Center, March 2012. http://dx.doi.org/10.21236/ada572245.

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Kassam, Saleem A. Research on Statistical Techniques for Signal Processing. Fort Belvoir, VA: Defense Technical Information Center, February 1990. http://dx.doi.org/10.21236/ada218811.

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Chung, Y., L. Emery, and J. Kirchman. Digital signal processing for beam position feedback. Office of Scientific and Technical Information (OSTI), April 1992. http://dx.doi.org/10.2172/90669.

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