DocumentCode
353534
Title
Adaptive filtering algorithms and alpha stable signals
Author
Masry, Elias
Author_Institution
Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA
Volume
1
fYear
2000
fDate
2000
Firstpage
9
Abstract
We consider the problem of optimal FIR linear and regression filters for jointly stationary symmetric alpha stable processes with index alpha greater than one. We then consider the signed-error and sign-sign adaptive filtering algorithms and provide various convergence results for the signal and tap weights estimation errors
Keywords
FIR filters; adaptive filters; adaptive signal processing; convergence of numerical methods; filtering theory; nonlinear filters; FIR linear filters; adaptive filtering algorithms; alpha stable signals; convergence results; regression filters; sign-sign algorithm; signed-error algorithm; stationary symmetric alpha stable processes; tap weights estimation errors; Adaptive filters; Convergence; Filtering algorithms; Finite impulse response filter; Gaussian processes; Maximum likelihood detection; Nonlinear filters; Random variables; Signal processing algorithms; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location
Istanbul
ISSN
1520-6149
Print_ISBN
0-7803-6293-4
Type
conf
DOI
10.1109/ICASSP.2000.861844
Filename
861844
Link To Document