Digital Signal Processing Handbook P19

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Digital Signal Processing Handbook P19

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Characterizing the Performance of Adaptive Filters 19.3 Analytical Models, Assumptions, and Definitions System Identification Model for the Desired Response Signal • Statistical Models for the Input Signal • The Independence Assumptions • Useful Definitions 19.4 Analysis of the LMS Adaptive Filter Mean Analysis • Mean-Square Analysis 19.5 Performance Issues Basic Criteria for Performance • Identifying Stationary Systems • Tracking Time-Varying Systems Normalized Step Sizes • Adaptive and Matrix Step Sizes • Other Time-Varying Step Size Methods 19.6 Selecting Time-Varying Step Sizes Scott C. Douglas University of Utah Markus Rupp Bell Laboratories Lucent Technologies 19.7 Other Analyses of the LMS Adaptive Filter 19.8 Analysis of Other Adaptive Filters 19.9...

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