DocumentCode
1332670
Title
Adaptive filters employing partial updates
Author
Douglas, Scott C.
Author_Institution
Dept. of Electr. Eng., Utah Univ., Salt Lake City, UT, USA
Volume
44
Issue
3
fYear
1997
fDate
3/1/1997 12:00:00 AM
Firstpage
209
Lastpage
216
Abstract
In some adaptive filtering applications, the least-mean-square (LBIS) algorithm may be too computationally- and memory-intensive to implement. In this paper, we analyze two adaptive algorithms that update only a portion of the coefficients of the adaptive filter per iteration. These algorithms use decimated versions of the error and regressor signals, respectively. Simulations verify the accuracy of the analyzes, and the robustness of the algorithms is also explored
Keywords
adaptive filters; digital filters; filtering theory; adaptive algorithms; adaptive filter; coefficients updating; error signals; partial updates; regressor signals; Adaptive algorithm; Adaptive filters; Algorithm design and analysis; Analytical models; Echo cancellers; Finite impulse response filter; Iterative algorithms; Least squares approximation; Robustness; Signal processing algorithms;
fLanguage
English
Journal_Title
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7130
Type
jour
DOI
10.1109/82.558455
Filename
558455
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