DocumentCode
1342031
Title
On transient error surfaces of output error IIR adaptive filtering
Author
Mayyas, K. ; Aboulnasr, T.
Author_Institution
Dept. of Electr. Eng., Jordan Univ. of Sci. & Technol., Irbid, Jordan
Volume
46
Issue
3
fYear
1998
fDate
3/1/1998 12:00:00 AM
Firstpage
766
Lastpage
771
Abstract
Addresses the convergence of IIR output error adaptive algorithms. We argue that convergence to global or local optimum is simultaneously determined by the shape of the transient error surface and the convergence speed of the algorithm. This argument is confirmed by simulation examples comparing the convergence of LMS-based and LS-based algorithms
Keywords
IIR filters; adaptive filters; convergence of numerical methods; error analysis; least mean squares methods; least squares approximations; IIR output error adaptive algorithms; LMS-based algorithms; LS-based algorithms; convergence; global optimum; local optimum; output error IIR adaptive filtering; transient error surfaces; Adaptive filters; Biomedical signal processing; Circuits; Convergence; Filter bank; Finite impulse response filter; IIR filters; Signal processing; Signal processing algorithms; Wavelet analysis;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.661343
Filename
661343
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