Blind Equalization and System Identification

Batch Processing Algorithms, Performance and Applications

  • Chong-Yung Chi
  • Chii-Horng Chen
  • Chih-Chun Feng
  • Ching-Yung Chen

About this book

Introduction

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) signals and with single-input single-output (SISO) or multiple-input multiple-output (MIMO), real or complex systems. It is now time for a unified treatment of this subject, pointing out the common characteristics and the sometimes close relations of these algorithms as well as learning from their different perspectives. Blind Equalization and System Identification provides such a unified treatment presenting theory, performance analysis, simulation, implementation and applications.

Topics covered include:

• SISO, MIMO and 2-d non-blind equalization (deconvolution) algorithms;

• SISO, MIMO and 2-d blind equalization (deconvolution) algorithms;

• SISO, MIMO and 2-d blind system identification algorithms;

• algorithm analyses and improvements;

• applications of SISO, MIMO and 2-d blind equalization/identification algorithms.

Each chapter is completed by exercises and computer assignments designed to further understanding and to give practical experience with the algorithms discussed.

This is a textbook for graduate-level courses in discrete-time random processes, statistical signal processing, and blind equalization and system identification. It contains material which will also interest researchers and practicing engineers working in digital communications, source separation, speech processing, image processing, seismic exploration, sonar, radar and other, similar applications.

Keywords

Algorithms MIMO Moment Performance algorithm communication image analysis image processing signal processing simulation

Authors and affiliations

  • Chong-Yung Chi
    • 1
  • Chii-Horng Chen
    • 2
  • Chih-Chun Feng
    • 3
  • Ching-Yung Chen
    • 3
  1. 1.Department of Electrical Engineering and Institute of Communications EngineeringNational Tsing Hua UniversityHsinchu TaiwanR.O.C.
  2. 2.MediaTek Inc.Hsinchu TaiwanR.O.C.
  3. 3.Computer and Communications Research LaboratoriesIndustrial Technology Research InstituteChutung Hsinchu TaiwanR.O.C.

Bibliographic information

  • DOI https://doi.org/10.1007/1-84628-218-7
  • Copyright Information Springer-Verlag London Limited 2006
  • Publisher Name Springer, London
  • eBook Packages Engineering
  • Print ISBN 978-1-84628-022-1
  • Online ISBN 978-1-84628-218-8
  • About this book