DocumentCode :
703451
Title :
Simplified FLS algorithm for linear phase adaptive filtering
Author :
Resende, Leonardo S. ; Romano, Joao Marcos T. ; Bellanger, Maurice G.
Author_Institution :
Lab. de Instrumentacao Eletron., Univ. Fed. de Santa Catarina, Florianópolis, Brazil
fYear :
1998
fDate :
8-11 Sept. 1998
Firstpage :
1
Lastpage :
4
Abstract :
The purpose of the present paper is to show that the linear phase property can be obtained with only a minor change in the regular FLS algorithm, with no additional multiplication, using the standard adaptation gain g(n). The proof is based on the linearly constrained filter called Generalized Sidelobe Canceller. Simulation results illustrate the efficacy of the simplified algorithm.
Keywords :
adaptive filters; least squares approximations; linear phase filters; signal denoising; fast least square algorithm; generalized sidelobe canceller; linear phase adaptive filtering; regular FLS algorithm; simplified FLS algorithm; standard adaptation gain; Adaptive filters; Filtering algorithms; Finite impulse response filters; Maximum likelihood detection; Prediction algorithms; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference (EUSIPCO 1998), 9th European
Conference_Location :
Rhodes
Print_ISBN :
978-960-7620-06-4
Type :
conf
Filename :
7089922
Link To Document :
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