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Blind Equalization and System Identification Batch Processing Algorithms, Performance and Applications

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ISBN-10: 1846280222

ISBN-13: 9781846280221

Edition: 2006

Authors: Chong-Yung Chi, Chih-Chun Feng, Chii-Horng Chen, Ching-Yung Chen

List price: $54.99
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Description:

Discrete-time signal processing has had a momentous impact on advances in engineering and science over recent decades. The rapid progress of digital and mixed-signal integrated circuits in processing speed, functionality and cost-effectiveness has led to their ubiquitous employment in signal processing and transmission in diverse milieux. The absence of training or pilot signals from many kinds of transmission ??? in, for example, speech analysis, seismic exploration and texture image analysis ??? necessitates the widespread use of blind equalization and system identification. There have been a great many algorithms developed for these purposes, working with one- or two-dimensional (2-d)…    
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Book details

List price: $54.99
Copyright year: 2006
Publisher: Springer London, Limited
Publication date: 12/12/2005
Binding: Paperback
Pages: 469
Size: 6.10" wide x 9.25" long x 0.43" tall
Weight: 1.628
Language: English

Doctor Chong-Yung Chi is a Professor with the Department of Electrical Engineering, National Tsing Hua University, Taiwan. From July 1983 to September 1988, he was with the Jet Propulsion Laboratory, Pasadena, California, where he worked on the design of various spaceborne radar remote sensing systems including radar scatterometers, SAR's, altimeters, and rain mapping radars. From October 1988 to July 1989, he was a visiting specialist at the Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan, RoC. Since August 1989, Professor Chi has been a Professor with the Department of Electrical Engineering and since August 2002, the Chairman of Institute of…    

Doctor Chong-Yung Chi is a Professor with the Department of Electrical Engineering, National Tsing Hua University, Taiwan. From July 1983 to September 1988, he was with the Jet Propulsion Laboratory, Pasadena, California, where he worked on the design of various spaceborne radar remote sensing systems including radar scatterometers, SAR's, altimeters, and rain mapping radars. From October 1988 to July 1989, he was a visiting specialist at the Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan, RoC. Since August 1989, Professor Chi has been a Professor with the Department of Electrical Engineering and since August 2002, the Chairman of Institute of…    

Doctor Chong-Yung Chi is a Professor with the Department of Electrical Engineering, National Tsing Hua University, Taiwan. From July 1983 to September 1988, he was with the Jet Propulsion Laboratory, Pasadena, California, where he worked on the design of various spaceborne radar remote sensing systems including radar scatterometers, SAR's, altimeters, and rain mapping radars. From October 1988 to July 1989, he was a visiting specialist at the Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan, RoC. Since August 1989, Professor Chi has been a Professor with the Department of Electrical Engineering and since August 2002, the Chairman of Institute of…    

Doctor Chong-Yung Chi is a Professor with the Department of Electrical Engineering, National Tsing Hua University, Taiwan. From July 1983 to September 1988, he was with the Jet Propulsion Laboratory, Pasadena, California, where he worked on the design of various spaceborne radar remote sensing systems including radar scatterometers, SAR's, altimeters, and rain mapping radars. From October 1988 to July 1989, he was a visiting specialist at the Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan, RoC. Since August 1989, Professor Chi has been a Professor with the Department of Electrical Engineering and since August 2002, the Chairman of Institute of…    

Introduction
References
Mathematical Background
Linear Algebra
Vectors and Vector Spaces
Matrices
Matrix Decomposition
Mathematical Analysis
Sequences
Series
Hilbert Spaces, Sequence Spaces and Function Spaces
Fourier Series
Optimization Theory
Vector Derivatives
Necessary and Sufficient Conditions for Solutions
Gradient-Type Optimization Methods
Least-Squares Method
Full-Rank Overdetermined Least-Squares Problem
Generic Least-Squares Problem
Summary
Proof of Theorem 2.15
Some Terminologies of Functions
Proof of Theorem 2.33
Proof of Theorem 2.36
Proof of Theorem 2.38
Proof of Theorem 2.46
Problems
Computer Assignments
References
Fundamentals of Statistical Signal Processing
Discrete-Time Signals and Systems
Time-Domain Characterization
Transformation Tools
Transform-Domain Characterization
Random Variables
Statistical Characterization
Moments
Cumulants
Some Useful Distributions
Random Processes
Statistical Characterization
Stationary Processes
Cyclostationary Processes
Estimation Theory
Estimation Problem
Properties of Estimators
Maximum-Likelihood Estimation
Method of Moments
Minimum Mean-Square-Error Estimation
Wiener Filtering
Least-Squares Estimation
Summary
Relationship between Cumulants and Moments
Proof of Theorem 3.47
Proof of Theorem 3.52
Problems
Computer Assignments
References
SISO Blind Equalization Algorithms
Linear Equalization
Blind Equalization Problem
Peak Distortion and MMSE Equalization Criteria
SOS Based Blind Equalization Approach: Linear Prediction
Forward and Backward Linear Prediction
Levinson-Durbin Recursion
Lattice Linear Prediction Error Filters
Linear Predictive Deconvolution
HOS Based Blind Equalization Approaches
Maximum Normalized Cumulant Equalization Algorithm
Super-Exponential Equalization Algorithm
Algorithm Analyses
Algorithm Improvements
Simulation Examples for Algorithm Tests
Some Applications
Seismic Exploration
Speech Signal Processing
Baud-Spaced Equalization in Digital Communications
Summary and Discussion
Proof of Property 4.17
Problems
Computer Assignments
References
MIMO Blind Equalization Algorithms
MIMO Linear Time-Invariant Systems
Definitions and Properties
Smith-McMillan Form
Linear Equalization
Blind Equalization Problem
Peak Distortion and MMSE Equalization Criteria
SOS Based Blind Equalization Approaches
Blind SIMO Equalization
Blind MIMO Equalization
HOS Based Blind Equalization Approaches
Temporally IID Inputs
Temporally Colored Inputs
Algorithm Tests
Summary and Discussion
Proof of Property 5.34
Proof of Property 5.35
A GCD Computation Algorithm
Problems
Computer Assignments
References
Applications of MIMO Blind Equalization Algorithms
Fractionally Spaced Equalization in Digital Communications
Blind Maximum Ratio Combining
SIMO Blind System Identification
MIMO-MNC Equalizer-System Relation
Analysis on System Identification Based on MIMO-MNC Equalizer-System Relation
SIMO Blind System Identification Algorithm
Multiple Time Delay Estimation
Model Assumptions
MTDE with Space Diversity Gain
Blind Beamforming for Source Separation
Model Assumptions
Blind Beamforming
Multistage Source Separation
Multiuser Detection in Wireless Communications
Model Assumptions and Problem Statement
Signature Waveform Matched Filtering Based Multiuser Detection
Chip Waveform Matched Filtering Based Multiuser Detection
Multiple Antennas Based Multiuser Detection
Summary and Discussion
Proof of Theorem 6.3
Proof of Fact 6.4
Proof of Property 6.10
Multichannel Levinson Recursion Algorithm
Integrated Bispectrum Based Time Delay Estimation
Problems
Computer Assignments
References
Two-Dimensional Blind Deconvolution Algorithms
Two-Dimensional Discrete-Space Signals, Systems and Random Processes
2-D Deterministic Signals
2-D Transforms
2-D Linear Shift-Invariant Systems
2-D Stationary Random Processes
2-D Deconvolution
Blind Deconvolution Problem
Peak Distortion and Minimum Mean-Square-Error Deconvolution Criteria
SOS Based Blind Deconvolution Approach: Linear Prediction
HOS Based Blind Deconvolution Approaches
2-D Maximum Normalized Cumulant Deconvolution Algorithm
2-D Super-Exponential Deconvolution Algorithm
Improvements on 2-D MNC Deconvolution Algorithm
Simulation
Summary and Discussion
Problems
Computer Assignments
References
Applications of Two-Dimensional Blind Deconvolution Algorithms
Nonparametric Blind System Identification and Texture Synthesis
Nonparametric 2-D BSI
Texture Synthesis
Parametric Blind System Identification and Texture Image Classification
Parametric 2-D BSI
Texture Image Classification
Summary and Discussion
Proof of Property 8.2
Proof of Property 8.3
Proof of Theorem 8.6
Proof of Fact 8.9
Problems
Computer Assignments
References
Index