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Adaptive filters and equalisers

Author: Bernard Mulgrew; C F N Cowan
Publisher: Boston : Kluwer Academic Publishers, ©1988.
Series: Kluwer international series in engineering and computer science., VLSI, computer architecture, and digital signal processing.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:

The work presented in this text relates to research work in the general area of adaptive filter theory and practice which has been carried out at the Department of Electrical Engineering, University  Read more...

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Document Type: Book
All Authors / Contributors: Bernard Mulgrew; C F N Cowan
ISBN: 0898382858 9780898382853
OCLC Number: 18070343
Description: xv, 194 pages : illustrations ; 25 cm.
Contents: 1 Introduction.- 1.1 Adaptive Signal Processing.- 1.2 The Adaptive Filter.- 1.3 Modes of Operation.- 1.4 Application of Adaptive Filters.- 1.5 Summary.- 2 Adaptive Fir Filter Algorithms.- 2.1 Introduction.- 2.2 Optimum Linear Estimation.- 2.2.1 The Optimum FIR Filter.- 2.2.2 FIR System Identification.- 2.3 Sampled Matrix Inversion.- 2.4 Least Squares Estimation.- 2.4.1 Recursive Least Squares.- 2.4.2 Data Windows.- 2.4.3 Fast Algorithms.- 2.4.4 Properties of the Least Squares Estimate.- 2.5 Stochastic Gradient Methods.- 2.5.1 The Least Mean Squares Algorithm.- 2.5.2 The Block Least Mean Squares Algorithm.- 2.6 Self-Orthogonalising Algorithms.- 2.6.1 The Sliding DFT Adaptive Filter.- 2.7 Summary and Complexity Comparison.- 3 Performance Comparisons.- 3.1 Introduction.- 3.2 System Identification.- 3.3 Channel Equalisation.- 3.4 Summary and Conclusions.- 4 A Self-Orthogonalising Block Adaptive Filter.- 4.1 Introduction.- 4.2 Theoretical Development.- 4.2.1 Comparison of Theory with Simulation.- 4.3 A Practical Algorithm.- 4.4 Computational Complexity.- 4.5 Simulation Results.- 4.6 Conclusions.- 5 The Infinite Impulse Response Linear Equaliser.- 5.1 Introduction.- 5.2 The Linear Equaliser.- 5.2.1 Structure of an IIR Equaliser.- 5.3 FIR and IIR Equaliser Performance.- 5.4 System Identification.- 5.4.1 Adaptive IIR Solutions.- 5.5 Conclusions.- 6 An Adaptive IIR Equaliser.- 6.1 Introduction.- 6.2 The Kalman Filter.- 6.3 The Kalman Filter as an IIR Equaliser.- 6.4 An Adaptive Kalman Equaliser.- 6.4.1 System Identification.- 6.4.2 Model Uncertainty.- 6.4.3 Verification of Compensation Technique.- 6.4.4 Comparison with an RLS FIR Equaliser.- 6.4.5 Computational Complexity.- 6.5 RLS System Identification.- 6.6 Conclusions.- 7 Conclusions.- 7.1 Summary.- 7.2 Limitations and Further Work.- Appendix A The Fast Kalman Algorithm.- Appendix B The RLS Lattice Algorithm.- Appendix C Circular and Linear Convolution.- References.
Series Title: Kluwer international series in engineering and computer science., VLSI, computer architecture, and digital signal processing.
Responsibility: by Bernard Mulgrew and Colin F.N. Cowan.

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