Unsupervised Signal Processing —— Channel Equalization and Source Separation

----- 无监督信号处理

ISBN: 9780849337512 出版年：2018 页码：332 Romano, Jo茫o Marcos Travassos Attux, Romis Cavalcante, Charles Casimiro CRC Press

Introduction Channel Equalization Source Separation Organization and Contents Statistical Characterization of Signals and Systems Signals and Systems Digital Signal Processing Probability Theory and Randomness Stochastic Processes Estimation Theory Linear Optimal and Adaptive Filtering Supervised Linear Filtering Wiener Filtering The Steepest-Descent Algorithm The Least Mean Square Algorithm The Method of Least Squares A Few Remarks Concerning Structural Extensions Linear Filtering without a Reference Signal Linear Prediction Revisited Unsupervised Channel Equalization The Unsupervised Deconvolution Problem Fundamental Theorems Bussgang Algorithms The Shalvi-Weinstein Algorithm The Super-Exponential Algorithm Analysis of the Equilibrium Solutions of Unsupervised Criteria Relationships between Equalization Criteria Unsupervised Multichannel Equalization Systems withMultiple Inputs and/orMultiple Outputs SIMO Channel Equalization Methods for Blind SIMO Equalization MIMO Channels and Multiuser Processing Blind Source Separation The Problem of Blind Source Separation Independent Component Analysis Algorithms for Independent Component Analysis Other Approaches for Blind Source Separation Convolutive Mixtures Nonlinear Mixtures Nonlinear Filtering and Machine Learning Decision-Feedback Equalizers Volterra Filters Equalization as a Classification Task Artificial Neural Network Bio-Inspired Optimization Methods Why Bio-Inspired Computing? Genetic Algorithms Artificial Immune Systems Particle Swarm Optimization Appendix A: Some Properties of the Correlation Matrix Appendix B: Kalman Filter References Index