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Fixed‐point steady‐state analysis of adaptive filters
Author(s) -
Yousef Nabil R.,
Sayed Ali H.
Publication year - 2003
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.738
Subject(s) - steady state (chemistry) , adaptive filter , computer science , control theory (sociology) , state (computer science) , energy (signal processing) , point (geometry) , algorithm , mathematical optimization , mathematics , artificial intelligence , statistics , chemistry , geometry , control (management)
The steady‐state performance of adaptive filters can vary significantly when they are implemented in finite precision arithmetic, which makes it vital to analyse their performance in a quantized environment. Such analyses can become difficult for adaptive algorithms with non‐linear update equations. This paper develops a feedback and energy‐conservation approach to the steady‐state analysis of quantized adaptive algorithms that bypasses some of the difficulties encountered by traditional approaches. Copyright © 2003 John Wiley & Sons, Ltd.