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Unsupervised Adaptive Filtering

, presenting a thorough and integrated treatment of the two major classes of algorithms used in the field, namely, blind signal separation and blind;

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Advances in Modern Blind Signal Separation Algorithms

in adverse environments. One such prominent statistical signal processing technique is blind signal separation (BSS). BSS was first introduced;

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Latent Variable Analysis and Signal Separation

fusion, and related topics; advances in nonlinear blind source separation; sparse and low rank modeling for acoustic signal processing.;

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Blind Source Separation

presents an overview of Blind Source Separation, a relatively new signal processing method. Due to the multidisciplinary nature of the subject;

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Blind Identification and Separation of Complex-valued Signals

Blind identification consists of estimating a multi-dimensional system only through the use of its output, and source separation, the blind;

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Adaptive Blind Signal And Image Processing

collection of useful techniques for adaptive blind signal/image separation, extraction, decomposition and filtering of multi variable signals and;

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Handbook of Blind Source Separation

, this handbook provides the definitive reference on Blind Source Separation, giving a broad and comprehensive description of all the core;

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Source Separation and Machine Learning

source separation. Emphasizes the modern model-based Blind Source Separation (BSS) which closely connects the latest research;

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Convex Optimization In Signal Processing And Communications

signal recovery, to semidefinite programming (SDP) relaxation and radar waveform design via SDP. It also includes blind source separation for;

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Blind Equalization and System Identification

The absence of training signals from many kinds of transmission necessitates the widespread use of blind equalization and system;

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Computer Techniques and Algorithms in Digital Signal Processing

Covers advances in the field of computer techniques and algorithms in digital signal processing. ;

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Digital Signal Processing for RFID

This book discusses the fundamentals of RFID and the state-of-the-art research results in signal processing for RFID, including MIMO, blind;

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Unsupervised Signal Processing

Unsupervised Signal Processing: Channel Equalization and Source Separation provides a unified, systematic, and synthetic presentation;

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Nonlinear Blind Source Separation and Blind Mixture Identification

specific signal processing and blind source separation communities.;

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Advances in Heuristic Signal Processing and Applications

There have been significant developments in the design and application of algorithms for both one-dimensional signal processing and;

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Nonlinear Source Separation

The purpose of this lecture book is to present the state of the art in nonlinear blind source separation, in a form appropriate for;

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Modern Signal Processing

Signal processing is everywhere in modern technology. Its mathematical basis and many areas of application are the subject of this book;

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Modern Signal Processing

Signal processing is everywhere in modern technology. Its mathematical basis and many areas of application are the subject of this book;

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Advances in Swarm and Computational Intelligence

; information security; automation control; combinatorial optimization algorithms; scheduling and path planning; machine learning; blind sources;

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Advances in Swarm and Computational Intelligence

; information security; automation control; combinatorial optimization algorithms; scheduling and path planning; machine learning; blind sources;

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Advances in Swarm and Computational Intelligence

; information security; automation control; combinatorial optimization algorithms; scheduling and path planning; machine learning; blind sources;

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Blind Source Separation

development in this field. The book gives an overview on blind source separation where three promising blind separation techniques that can tackle;

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Digital Signal Processing with Kernel Methods

algorithms for classification and detection problems in the context of signal processing * Surveys advances in kernel signal processing beyond SVM;

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Nonlinear Signal and Image Processing

practical. This book details recent advances in nonlinear theory and methods and explores an array of modern signal and image processing;

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Advanced Signal Processing Handbook

Advances in digital signal processing algorithms and computer technology have combined to produce real-time systems with capabilities far;

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Advances in Sampling Theory and Techniques

of signal integral transforms. Topics include classical sampling theory, compressed sensing, non-redundant sampling, fast signal resampling;

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Signal Processing in Radar Systems

traditional methods of synthesis and analysis of the main digital signal processing operations. It also examines problems related to modern methods;

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