DocumentCode
1393263
Title
Alpha-stable signals and adaptive filtering
Author
Masry, Elias
Author_Institution
Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA
Volume
48
Issue
11
fYear
2000
fDate
11/1/2000 12:00:00 AM
Firstpage
3011
Lastpage
3016
Abstract
Let {Dk,Xk} be jointly stationary symmetric α-stable processes with index 1<α<2. We first consider the problem of optimal FIR linear and regression filters. We then consider the signed-error and sign-sign adaptive filtering algorithms for the estimation of the desired signal Dj on the basis of the input vector Xj. Various convergence results are established for the signal and tap weights estimation errors
Keywords
FIR filters; adaptive filters; estimation theory; numerical stability; adaptive filtering; alpha-stable signals; convergence; desired signal; input vector; optimal FIR linear filter; regression filter; sign-sign adaptive filtering algorithms; signed-error algorithm; stationary symmetric α-stable processes; tap weights estimation errors; Acoustic signal processing; Adaptive filters; Convergence; Estimation theory; Filtering algorithms; Finite impulse response filter; Gaussian processes; Nonlinear filters; Random variables; Signal processing algorithms;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.875458
Filename
875458
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