Adaptive filtering approaches for non-Gaussian stable processes

Authors:
O. Arikan;M. Belge;A. E. Cetin;E. Erzin
Affiliations:
Bilkent Univ., Ankara, Turkey;Bilkent Univ., Ankara, Turkey;Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Taejon, South Korea;Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA
Venue:
ICASSP '95 Proceedings of the Acoustics, Speech, and Signal Processing, 1995. on International Conference - Volume 02
Year:
1995

Citing 0
Cited 3

Adaptive mixed-norm filtering algorithm based on S αSG noise model

Digital Signal Processing
Data block adaptive filtering algorithms for α-stable random processes

Digital Signal Processing
A novel adaptive lattice filtering algorithm for alpha-stable processes

Digital Signal Processing

Quantified Score

Hi-index	0.01

Visualization

Abstract

A large class of physical phenomenon observed in practice exhibit non-Gaussian behavior. In this paper, /spl alpha/-stable distributions, which have heavier tails than Gaussian distribution, are considered to model non-Gaussian signals. Adaptive signal processing in the presence of such kind of noise is a requirement of many practical problems. Since, direct application of commonly used adaptation techniques fail in these applications, new approaches for adaptive filtering for /spl alpha/-stable random processes are introduced.