Blind Signal Processing

Blind Signal Processing: Theory and Practice  eBooks & eLearning

Posted by fdts at July 11, 2014
Blind Signal Processing: Theory and Practice

Blind Signal Processing: Theory and Practice
by Xizhi Shi
English | 2011 | ISBN: 364211346X | 300 pages | PDF | 3.73 MB
Handbook of Neural Network Signal Processing by Yu Hen Hu [Repost]

Handbook of Neural Network Signal Processing (Electrical Engineering & Applied Signal Processing Series) by Yu Hen Hu
English | September 21, 2001 | ISBN: 0849323592 | 384 pages | PDF | 12 MB

The use of neural networks is permeating every area of signal processing. They can provide powerful means for solving many problems, especially in nonlinear, real-time, adaptive, and blind signal processing.

Adaptive Blind Signal and Image Processing by Andrzej Cichocki  eBooks & eLearning

Posted by Alexpal at Jan. 22, 2007
Adaptive Blind Signal and Image Processing by  Andrzej Cichocki

Adaptive Blind Signal and Image Processing by Andrzej Cichocki, Shun-ichi Amari Key Phrases: Algorithm;Outline
Publisher: John Wiley & Sons; 1st edition (June 15, 2002) | ISBN-10: 0471607916 | PDF | 24 Mb | 586 pages

With solid theoretical foundations and numerous potential applications, Blind Signal Processing (BSP) is one of the hottest emerging areas in Signal Processing. This volume unifies and extends the theories of adaptive blind signal and image processing and provides practical and efficient algorithms for blind source separation,
Independent, Principal, Minor Component Analysis, and Multichannel Blind Deconvolution (MBD) and Equalization. Containing over 1400 references and mathematical expressions Adaptive Blind Signal and Image Processing delivers an unprecedented collection of useful techniques for adaptive blind signal/image separation, extraction, decomposition and filtering of multi-variable signals and data.

Adaptive Blind Signal and Image Processing  eBooks & eLearning

Posted by absolut79 at July 13, 2005
Adaptive Blind Signal and Image Processing
by Andrzej Cichocki, Shun-ichi Amari


"In this book, we describe various approaches, methods and techniques
to blind and semi-blind signal processing, especially principal and independent
analysis, blind source separation, blind..."

Adaptive Blind Signal and Image Processing [Repost]  

Posted by ChrisRedfield at July 23, 2014
Adaptive Blind Signal and Image Processing [Repost]

Andrzej Cichocki, ‎Shun-ichi Amari - Adaptive Blind Signal and Image Processing
Published: 2002-06-15 | ISBN: 0471607916 | PDF | 586 pages | 16 MB
Unsupervised Signal Processing: Channel Equalization and Source Separation (repost)

Unsupervised Signal Processing: Channel Equalization and Source Separation by João M. T. Romano, Romis de F. Attux, Charles C. Cavalcante, Ricardo Suyama
English | 2010 | ISBN: 0849337518 | 340 pages | PDF | 5,8 MB

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.
Sparse Image and Signal Processing: Wavelets, Curvelets, Morphological Diversity (repost)

Jean-Luc Starck, Fionn Murtagh, Jalal M. Fadili, "Sparse Image and Signal Processing: Wavelets, Curvelets, Morphological Diversity"
2010 | ISBN: 0521119138 | 336 pages | PDF | 30,1 MB

This book presents the state of the art in sparse and multiscale image and signal processing, covering linear multiscale transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. Recent concepts of sparsity and morphological diversity are described and exploited for various problems such as denoising, inverse problem regularization, sparse signal decomposition, blind source separation, and compressed sensing.
Unsupervised Signal Processing: Channel Equalization and Source Separation (repost)

João M. T. Romano, Romis de F. Attux, Charles C. Cavalcante, Ricardo Suyama, "Unsupervised Signal Processing: Channel Equalization and Source Separation"
2010 | ISBN: 0849337518 | 340 pages | PDF | 5,8 MB

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.

Audio Signal Processing [Repost]  eBooks & eLearning

Posted by tanas.olesya at Dec. 8, 2016
Audio Signal Processing [Repost]

Audio Signal Processing by Spanias
English | 25 Jan. 2007 | ISBN: 0471791474 | 486 Pages | PDF | 3 MB

An in–depth treatment of algorithms and standards for perceptual coding of high–fidelity audio, this self–contained reference surveys and addresses all aspects of the field.

Financial Signal Processing and Machine Learning  eBooks & eLearning

Posted by roxul at Dec. 8, 2016
Financial Signal Processing and Machine Learning

Ali N. Akansu, "Financial Signal Processing and Machine Learning"
English | ISBN: 1118745671 | 2016 | 320 pages | PDF | 4 MB