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Adaptive filters:

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Bibliographic Details
Format:	Book
Language:	Undetermined
Published:	Englewood Cliffs, NJ Prentice-Hall 1985
Series:	Prentice-Hall signal processing series.
Subjects:	Adaptives Filter
Online Access:	Inhaltsverzeichnis
Item Description:	Literaturverz. S. 283 - 302
Physical Description:	XX, 308 S. Ill., graph. Darst.
ISBN:	0130040371

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MARC


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245	1	0	\|a Adaptive filters \|c Hrsg. von Colin F. Cowan. Mitarb.: Peter M. Adams*
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700	1		\|a Cowan, Colin F. \|e Sonstige \|4 oth
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adam_text	CONTENTS PREFACE, xiii ACKNOWLEDGMENTS, XV ABBREVIATIONS, xvii SYMBOLS, xix 1 INTRODUCTION TO ADAPTIVE FILTERS, 1 Peter M Grant and Colin F N Cowan 1 1 Adaptive Processing 1 111 Adaptive Filters 2 112 Adaptive Filter Operation 3 1 2 Programmable Filter Designs 4 121 Recursive Filters 4 122 Nonrecursive Filters 6 123 Transform-Based Filters 8 1 3 Optimum Linear Estimation 10 1 4 Adaptive Filters 11 141 Adaptive Infinite Impulse Response Filters 11 142 Adaptive Finite Impulse Response Filters 11 143 Transform-Based Adaptive Filters 12 144 Hardware Designs 14 vii viü Contents 2 OPTIMUM ESTIMATION TECHNIQUES, 15 Colin F N Cowan 2 1 Introduction 15 2 2 Optimum Nonrecursive (Wiener) Estimation 16 221 Practical Example of a Wiener Estimator 18 2 3 Optimum Recursive (Kalman) Estimation 21 231 Scalar Kalman Filter 21 232 Derivation of the Kalman Gain 24 2 4 Vector Kalman Filter 25 241 Vector Kalman Filter as a Channel Equalizer 26 2 5 Conclusions 27 3 ADAPTIVE ALGORITHMS FOR FINITE IMPULSE RESPONSE FILTERS, 28 Benjamin Friedlander 3 1 Introduction 29 3 2 Recursive Least-Squares Algorithm 30 321 Derivation of the RLS Algorithm 32 322 Exponentially Weighted RLS 33 323 Computational Complexity 34 324 Stochastic Interpretation 35 325 Asymptotic Accuracy of Least-Squares Estimates 37 326 Asymptotic Properties of the Adaptive Filter 38 327 Square-Root Implementation 39 328 Sliding Window Form of the RLS 40 3 3 Least-Mean-Squares Adaptive Algorithm 41 331 Iterative Computation of the Optimal Coefficient Vector 42 332 LMS Algorithm 44 333 Convergence of the LMS Algorithm 44 334 Learning Curve 46 335 Recent Convergence Results 48 336 LMS Algorithm as a Stochastic Approximation Method 49 3 4 Adaptive Finite Impulse Response Filters with Linear-Phase Characteristics 55 341 Stochastic Case 55 342 RLS Algorithm 57 343 LMS Algorithm 58 Contents ix 4 ADAPTIVE ALGORITHMS FOR INFINITE IMPULSE RESPONSE FILTERS, 60 John R Treichler 4 1 Introduction 60 411 General Scope 60 412 Why Use HR Adaptive Filters? 61 413 Problem Formulation 62 414 Implications of Feedback 63 4 2 Minimum Mean-Square-Error Techniques 64 421 Developing Necessary Conditions for a Solution 64 422 Solution Techniques 65 423 Historical Perspective 67 4 3 Techniques Based on Nonlinear Stability Theory 68 431 Problem Formulation 68 432 Hyperstable Adaptive Recursive Filter 69 433 Hyperstability and Adaptive Filtering 72 434 Simple Hyperstable Recursive Filter 78 4 4 Convergence Analysis 81 441 Goals of Convergence Analysis 81 442 Approaches 83 443 General Conclusions 88 4 5 Limitations in the Use of HR Adaptive Filters 89 451 Coefficient Sensitivity 89 452 Inverse Modeling of Non-Minimum-Phase Filters 89 453 Order Matching 90 454 Conversion of Stability-Based Techniques to Inverse Modeling 90 4 6 Conclusion 90 5 RECURSIVE LEAST-SQUARES ESTIMATION AND LATTICE FILTERS, 91 John M Turner 5 1 Introduction 91 5 2 General Lattice Digital Filter Structure 93 5 3 Properties of the Lattice Structure 98 531 Orthogonalizing Properties 99 532 Physical Interpretation 102 5 4 Sample Data Estimates of Reflection Coefficients 105 541 Gradient Estimates of Reflection Coefficients 106 5 5 Recursive Least-Squares Lattice Algorithm 108 551 Formulation of Recursive Estimates 109 552 Order-Update Equations Ill 553 Time-Update Equations 113 554 Exact Least-Squares Lattice Recursions 114 Contents 555 Likelihood Variable 116 5 6 Joint-Process Lattice Filter 117 5 7 Square-Root Normalized Least-Squares Lattice 120 5 8 Computational Complexity and CORDIC Arithmetic 123 581 CORDIC Arithmetic 124 582 Lattice Filtering by Rotations 126 5 9 Simulations and Applications 129 5 10 Comments and Conclusions 143 6 FREQUENCY-DOMAIN ADAPTIVE FILTERING, 145 Earl R Ferrara, Jr 6 1 Introduction 145 6 2 Frequency-Domain Adaptive Filter Based on Circular Convolution 146 6 3 Algorithms for General Adaptive Filtering 152 631 Fast LMS Adaptive Filter 152 632 Unconstrained Frequency-Domain LMS Adaptive Filter 157 6 4 Channel Equalization 160 641 Isolated Pulse Equalization 160 642 Random Data Sequence Equalization 164 6 5 Transmultiplexer Adaptive Filter 164 6 6 Convergence Rate Improvement 172 6 7 Summary 176 6 8 Appendix: Linear versus Circular Convolution 177 7 SURVEY OF ANALOG AND DIGITAL ADAPTIVE FILTER REALIZATIONS, 180 Colin F N Cowan and Peter M Grant 7 1 Introduction 180 7 2 Digital Implementations 181 721 Classical Digital Design 181 722 Digital Adaptive Filters Using Simplified Algorithms 187 723 Digital Adaptive Filters Using Memory Access Techniques 190 724 Distributed Arithmetic Adaptive Filters 190 725 Residue Number Systems 195 7 3 Analog Sampled-Data Adaptive Filters 199 731 Charge-Coupled-Device Implementations 199 732 Monolithic CCD Adaptive Filter 206 7 4 High-Bandwidth Adaptive Filters Using Surface Acoustic Wave Devices 210 7 5 Future Designs Using VLSI Technology 214 Contents xi 8 ADAPTIVE FILTERS IN TELECOMMUNICATIONS, 21 • Peter F Adams 8 1 Introduction 216 8 2 Data Transmission 217 821 Linear Distortions in Telephony Networks 218 822 Speech-Band Equalizers 224 823 Echo Cancellation for Speech-Band Data Transmission 232 8 3 Digital Transmission over Local Networks 241 831 Echo Cancellation for WAL2 Transmission 244 832 Baseband Transmission 248 8 4 Echo Cancellation for Telephony 252 841 Network Echo Cancelers 252 842 Terminal Echo Cancelers 254 8 5 Other Telecommunications-Related Applications 255 9 OTHER ADAPTIVE FILTER APPLICATIONS, 257 Peter M Grant 9 1 Introduction 257 9 2 Adaptive Estimation 258 921 Inverse System Modeling 258 922 Direct System Modeling 264 9 3 Spectral Estimation 266 931 Introduction 266 932 Spectral Line Enhancement 270 933 Speech Processing 272 9 4 Adaptive Array Processing 276 941 Bearing Estimation 277 9 5 Summary 282 REFERENCES, 283
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id	DE-604.BV002044666
illustrated	Illustrated
indexdate	2024-07-09T15:39:25Z
institution	BVB
isbn	0130040371
language	Undetermined
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-001337260
oclc_num	246813605
open_access_boolean
owner	DE-91 DE-BY-TUM DE-29T DE-522
owner_facet	DE-91 DE-BY-TUM DE-29T DE-522
physical	XX, 308 S. Ill., graph. Darst.
publishDate	1985
publishDateSearch	1985
publishDateSort	1985
publisher	Prentice-Hall
record_format	marc
series2	Prentice-Hall signal processing series.
spelling	Adaptive filters Hrsg. von Colin F. Cowan. Mitarb.: Peter M. Adams* Englewood Cliffs, NJ Prentice-Hall 1985 XX, 308 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Prentice-Hall signal processing series. Literaturverz. S. 283 - 302 Adaptives Filter (DE-588)4141377-5 gnd rswk-swf Adaptives Filter (DE-588)4141377-5 s DE-604 Cowan, Colin F. Sonstige oth Adams, Peter M. Sonstige oth HEBIS Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=001337260&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis
spellingShingle	Adaptive filters Adaptives Filter (DE-588)4141377-5 gnd
subject_GND	(DE-588)4141377-5
title	Adaptive filters
title_auth	Adaptive filters
title_exact_search	Adaptive filters
title_full	Adaptive filters Hrsg. von Colin F. Cowan. Mitarb.: Peter M. Adams*
title_fullStr	Adaptive filters Hrsg. von Colin F. Cowan. Mitarb.: Peter M. Adams*
title_full_unstemmed	Adaptive filters Hrsg. von Colin F. Cowan. Mitarb.: Peter M. Adams*
title_short	Adaptive filters
title_sort	adaptive filters
topic	Adaptives Filter (DE-588)4141377-5 gnd
topic_facet	Adaptives Filter
url	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=001337260&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
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