Posted by **fdts** at July 11, 2014

by Xizhi Shi

English | 2011 | ISBN: 364211346X | 300 pages | PDF | 3.73 MB

Posted by **tanas.olesya** at Nov. 30, 2014

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.

Posted by **Alexpal** at Jan. 22, 2007

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.

Posted by **absolut79** at July 13, 2005

"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..."

Posted by **ChrisRedfield** at July 23, 2014

Published: 2002-06-15 | ISBN: 0471607916 | PDF | 586 pages | 16 MB

Posted by **libr** at Jan. 24, 2014

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.

Posted by **interes** at March 20, 2013

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.

Posted by **interes** at Feb. 1, 2013

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.

Posted by **tanas.olesya** at Dec. 8, 2016

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.

Posted by **roxul** at Dec. 8, 2016

English | ISBN: 1118745671 | 2016 | 320 pages | PDF | 4 MB