DocumentCode
970270
Title
A novel algorithm for the adaptation of the pole of Laguerre filters
Author
Boukis, Christos ; Mandic, Danilo P. ; Constantinides, Anthony G. ; Polymenakos, Lazaros C.
Author_Institution
Athens Inf. Technol.
Volume
13
Issue
7
fYear
2006
fDate
7/1/2006 12:00:00 AM
Firstpage
429
Lastpage
432
Abstract
This letter proposes a novel stochastic gradient algorithm for the online adaptation of the pole position in Laguerre filters. The proposed algorithm exploits the inherent relationship between the values of the filter coefficients and the value of the Laguerre pole. This leads to an unbiased solution and, hence, a more accurate estimate of the error gradient. Simulations in a system identification setting support the analysis
Keywords
filtering theory; gradient methods; stochastic processes; Laguerre filter; online adaptation; pole position; stochastic gradient algorithm; Adaptive filters; Delay; Equations; Finite impulse response filter; Low pass filters; Signal processing algorithms; Steady-state; Stochastic processes; Transfer functions; Transversal filters; Adaptive signal processing; orthonormal functions;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2006.873140
Filename
1642716
Link To Document