Unsupervised signal processing : channel equalization and source separation /

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 evolve...

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Bibliographic Details
Corporate Author:	Taylor & Francis
Other Authors:	Romano, João Marcos Travassos
Format:	eBook
Language:	English
Published:	Boca Raton : CRC Press, ©2011.
Subjects:	Signal processing. Source separation (Signal processing) Equalizers (Electronics) Traitement du signal. Séparation de sources (Traitement du signal) Égaliseurs (Électronique) COMPUTERS > Information Theory. TECHNOLOGY & ENGINEERING > Signals & Signal Processing. Signal processing Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Cover13;
Contents
List of Figures
List of Tables
Foreword
Preface
Acknowledgments
Authors
Chapter 1: Introduction
Chapter 2: Statistical Characterization of Signals and Systems
Chapter 3: Linear Optimal and Adaptive Filtering
Chapter 4: Unsupervised Channel Equalization
Chapter 5: Unsupervised Multichannel Equalization
Chapter 6: Blind Source Separation
Chapter 7: Nonlinear Filtering and Machine Learning
Chapter 8: Bio-Inspired Optimization Methods
Appendix A: Some Properties of the Correlation Matrix
Appendix B: Kalman Filter
References
Back cover.