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A recursive least squares algorithm for an orthogonal iir adaptive line enhancer
Author(s) -
Fahmy M. F.,
ElRaheem G. M.,
Ibrahim H. M.
Publication year - 1995
Publication title -
international journal of circuit theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.364
H-Index - 52
eISSN - 1097-007X
pISSN - 0098-9886
DOI - 10.1002/cta.4490230504
Subject(s) - infinite impulse response , algorithm , adaptive filter , recursive least squares filter , noise (video) , computer science , filter (signal processing) , line (geometry) , mathematics , signal (programming language) , control theory (sociology) , gauss , digital filter , artificial intelligence , physics , geometry , control (management) , quantum mechanics , image (mathematics) , computer vision , programming language
A novel method is described for the frequency estimation of signals from a noisy background. It is based on realizing the IIR adaptive filter as a parallel connection of discrete orthogonal sections. A fast Gauss‐Newton‐type recursive algorithm has also been derived to update the parameters of these orthogonal sections. It has been shown that for highly noisy signals, this approach significantly improves the frequency estimation capabilities as well as increases the overall signal‐to‐noise ratio of the adaptive recursive filters. Illustrative examples are given to verify these results.