Performance analysis of adaptive lattice filters for impulsive signals

Author

Kahaei, M.H. ; Deriche, M. ; Boashash, B.

Author_Institution

Queensland Univ. of Technol., Brisbane, Qld., Australia

Volume

1

fYear

1997

fDate

4-4 Dec. 1997

Firstpage

77

Abstract

The existence of impulsive signals with α-stable non-Gaussian distributions has already been reported in some applications. A new adaptive lattice algorithm is proposed for adaptive filtering of α-stable AR processes. The performance of this algorithm is compared to that of other stochastic gradient-based algorithms for stable AR processes for different α´s. It is shown that the proposed algorithm achieves a superior convergence speed with respect to the other algorithms.

Keywords

adaptive filters; α-stable AR processes; α-stable nonGaussian distributions; FIR filter; adaptive filtering; adaptive lattice algorithm; adaptive lattice filters; convergence speed; impulsive signals; least mean P-norm algorithm; performance analysis; stochastic gradient-based algorithms; Acoustic noise; Adaptive filters; Gaussian noise; Lattices; Low-frequency noise; Performance analysis; Random variables; Signal processing; Signal processing algorithms; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications., Proceedings of IEEE

Conference_Location

Brisbane, Qld., Australia

Print_ISBN

0-7803-4365-4

Type

conf

DOI

10.1109/TENCON.1997.647262

Filename

647262