Unsupervised Signal Processing: Channel Equalization and Source Separation

כריכה קדמית
CRC Press, 3 בספט׳ 2018 - 340 עמודים

Unsupervised Signal Processing: Channel Equalization and Source Separation provides a unified, systematic, and synthetic presentation of the theory of unsupervised signal processing. Always maintaining the focus on a signal processing-oriented approach, this book describes how the subject has evolved and assumed a wider scope that covers several topics, from well-established blind equalization and source separation methods to novel approaches based on machine learning and bio-inspired algorithms.

From the foundations of statistical and adaptive signal processing, the authors explore and elaborate on emerging tools, such as machine learning-based solutions and bio-inspired methods. With a fresh take on this exciting area of study, this book:

  • Provides a solid background on the statistical characterization of signals and systems and on linear filtering theory
  • Emphasizes the link between supervised and unsupervised processing from the perspective of linear prediction and constrained filtering theory
  • Addresses key issues concerning equilibrium solutions and equivalence relationships in the context of unsupervised equalization criteria
  • Provides a systematic presentation of source separation and independent component analysis
  • Discusses some instigating connections between the filtering problem and computational intelligence approaches.

Building on more than a decade of the authors’ work at DSPCom laboratory, this book applies a fresh conceptual treatment and mathematical formalism to important existing topics. The result is perhaps the first unified presentation of unsupervised signal processing techniques—one that addresses areas including digital filters, adaptive methods, and statistical signal processing. With its remarkable synthesis of the field, this book provides a new vision to stimulate progress and contribute to the advent of more useful, efficient, and friendly intelligent systems.

 

עמודים נבחרים

תוכן

Introduction
1
Statistical Characterization of Signals and Systems
11
Linear Optimal and Adaptive Filtering
61
Unsupervised Channel Equalization
103
Unsupervised Multichannel Equalization
141
Blind Source Separation
181
Nonlinear Filtering and Machine Learning
227
BioInspired Optimization Methods
253
Some Properties of the Correlation Matrix
275
Kalman Filter
279
References
285
Back cover
303
זכויות יוצרים

מהדורות אחרות - הצג הכל

Unsupervised Signal Processing: Channel Equalization and Source Separation
<span dir=ltr>João Marcos Travassos Romano</span>‏,<span dir=ltr>Romis Attux</span>‏,<span dir=ltr>Charles Casimiro Cavalcante</span>‏,<span dir=ltr>Ricardo Suyama</span>‏
אין תצוגה מקדימה זמינה - 2010

מונחים וביטויים נפוצים

accordance adaptive additional algorithm analysis applications approach associated assume blind channel chapter classical combined composed condition consider context convergence correlation corresponds cost function criteria criterion deal deconvolution defined depends derived discrete-time discussed distribution domain elements employ equalization equations error established estimation estimation theory example expressed fact Figure filter Gaussian given idea important independent individual input instance interesting joint leads linear mapping matrix means mentioned methods minimization mixing mixture nature noise nonlinear observed obtain operator optimization original output parameters particular perform possible practical prediction present probability problem procedure properties proposed random received reference relevant represents respect response samples scenario selection sequence signal processing solution source separation sources statistical step stochastic structure symbol techniques theorem theory tion unsupervised values variables vector Wiener

מידע על המחבר (2018)

João Marcos Travassos Romano is a professor at the University of Campinas (UNICAMP), Campinas, Sao Paulo, Brazil. He received his BS and MS in electrical engineering from UNICAMP in 1981 and 1984, respectively. In 1987, he received his Ph.D from the University of Paris–XI, Orsay. He has been an invited professor at CNAM, Paris; at University of Paris–Descartes; and at ENS, Cachan. He is the coordinator of the DSPCom Laboratory at UNICAMP, and his research interests include adaptive filtering, unsupervised signal processing, and applications in communication systems.

Romis Ribeiro de Faissol Attux is an assistant professor at the University of Campinas (UNICAMP), Campinas, Sao Paulo, Brazil. He received his BS, MS, and Ph.D in electrical engineering from UNICAMP in 1999, 2001, and 2005, respectively. He is a researcher in the DSPCom Laboratory. His research interests include blind signal processing, independent component analysis (ICA), nonlinear adaptive filtering, information-theoretic learning, neural networks, bio-inspired computing, dynamical systems, and chaos.

Charles Casimiro Cavalcante is an assistant professor at the Federal University of Ceará (UFC), Fortaleza, Ceara, Brazil. He received his BSc and MSc in electrical engineering from UFC in 1999 and 2001, respectively, and his Ph.D from the University of Campinas, Campinas, Sao Paulo, Brazil, in 2004. He is a researcher in the Wireless Telecommunications Research Group (GTEL), where he leads research on signal processing for communications, blind source separation, wireless communications, and statistical signal processing.

Ricardo Suyama is an assistant professor at the Federal University of ABC (UFABC), Santo Andre, Sao Paulo, Brazil. He received his BS, MS, and Ph.D in electrical engineering from the University of Campinas, Campinas, Sao Paulo, Brazil in 2001, 2003, and 2007, respectively. He is a researcher in the DSPCom Laboratory at UNICAMP. His research interests include adaptive filtering, source separation, and applications in communication systems.

מידע ביבליוגרפי

כותרתUnsupervised Signal Processing: Channel Equalization and Source Separation
מאתJoão Marcos Travassos Romano, Romis Attux, Charles Casimiro Cavalcante, Ricardo Suyama
מהדורהמאויר
הוצאהCRC Press, 2018
ISBN1420019465, 9781420019469
אורך340 עמודים
  
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