Adaptive signal processing : next generation solutions / [edited by] Tulay Adali, Simon S. Haykin.

Format:

Book

Contributor:

Adali, Tülay.

Haykin, Simon S., 1931-

Series:

Adaptive and learning systems for signal processing, communications, and control ; 55

Adaptive and learning systems for signal processing, communications and control series ; 55

Language:

English

Subjects (All):

Adaptive signal processing.

Physical Description:

1 online resource (428 p.)

Edition:

1st edition

Place of Publication:

Hoboken, N.J. : Wiley-IEEE, c2010.

Language Note:

English

System Details:

text file

Summary:

Leading experts present the latest research results in adaptive signal processing Recent developments in signal processing have made it clear that significant performance gains can be achieved beyond those achievable using standard adaptive filtering approaches. Adaptive Signal Processing presents the next generation of algorithms that will produce these desired results, with an emphasis on important applications and theoretical advancements. This highly unique resource brings together leading authorities in the field writing on the key topics of significance, each at the cutti

Contents:

Preface

Contributors

Chapter 1 Complex-Valued Adaptive Signal Processing

1.1 Introduction

1.2 Preliminaries

1.3 Optimization in the Complex Domain

1.4 Widely Linear Adaptive Filtering

1.5 Nonlinear Adaptive Filtering with Multilayer Perceptrons

1.6 Complex Independent Component Analysis

1.7 Summary

1.8 Acknowledgment

1.9 Problems

References

Chapter 2 Robust Estimation Techniques for Complex-Valued Random Vectors

2.1 Introduction

2.2 Statistical Characterization of Complex Random Vectors

2.3 Complex Elliptically Symmetric (CES) Distributions

2.4 Tools to Compare Estimators

2.5 Scatter and Pseudo-Scatter Matrices

2.6 Array Processing Examples

2.7 MVDR Beamformers Based on M-Estimators

2.8 Robust ICA

2.9 Conclusion

2.10 Problems

Chapter 3 Turbo Equalization

3.1 Introduction

3.2 Context

3.3 Communication Chain

3.4 Turbo Decoder: Overview

3.5 Forward-Backward Algorithm

3.6 Simplified Algorithm: Interference Canceler

3.7 Capacity Analysis

3.8 Blind Turbo Equalization

3.9 Convergence

3.10 Multichannel and Multiuser Settings

3.11 Concluding Remarks

3.12 Problems

Chapter 4 Subspace Tracking for Signal Processing

4.1 Introduction

4.2 Linear Algebra Review

4.3 Observation Model and Problem Statement

4.4 Preliminary Example: Oja's Neuron

4.5 Subspace Tracking

4.6 Eigenvectors Tracking

4.7 Convergence and Performance Analysis Issues

4.8 Illustrative Examples

4.9 Concluding Remarks

4.10 Problems

Chapter 5 Particle Filtering

5.1 Introduction

5.2 Motivation for Use of Particle Filtering

5.3 The Basic Idea

5.4 The Choice of Proposal Distribution and Resampling

5.5 Some Particle Filtering Methods

5.6 Handling Constant Parameters

5.7 Rao-Blackwellization

5.8 Prediction

5.9 Smoothing

5.10 Convergence Issues

5.11 Computational Issues and Hardware Implementation

5.12 Acknowledgments.

5.13 Exercises

Chapter 6 Nonlinear Sequential State Estimation for Solving Pattern-Classification Problems

6.1 Introduction

6.2 Back-Propagation and Support Vector Machine-Learning Algorithms: Review

6.3 Supervised Training Framework of MLPs Using Nonlinear Sequential State Estimation

6.4 The Extended Kalman Filter

6.5 Experimental Comparison of the Extended Kalman Filtering Algorithm with the Back-Propagation and Support Vector Machine Learning Algorithms

6.6 Concluding Remarks

6.7 Problems

Chapter 7 Bandwidth Extension of Telephony Speech

7.1 Introduction

7.2 Organization of the Chapter

7.3 Nonmodel-Based Algorithms for Bandwidth Extension

7.4 Basics

7.5 Model-Based Algorithms for Bandwidth Extension

7.6 Evaluation of Bandwidth Extension Algorithms

7.7 Conclusion

7.8 Problems

Index.

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

Description based on PDF viewed 12/21/2015.

ISBN:

9786612656507

9781282656505

1282656503

9780470575758

0470575751

9780470575741

0470575743

OCLC:

644162805