A novel adaptive lattice filtering algorithm for alpha-stable processes

Authors:
Zhijin Zhao;Junna Shang;Kehai Dong
Affiliations:
National Key Lab of Integrated Service Network, Xidian University, Xi'an 710071, People's Republic of China and School of Telecommunication, Hangzhou Dianzi University, Hangzhou 310018, People's R ...;School of Telecommunication, Hangzhou Dianzi University, Hangzhou 310018, People's Republic of China;School of Telecommunication, Hangzhou Dianzi University, Hangzhou 310018, People's Republic of China
Venue:
Digital Signal Processing
Year:
2008

Citing 6
Cited 0

Signal processing with alpha-stable distributions and applications

Signal processing with alpha-stable distributions and applications
Time-frequency-based detection in impulsive noise environments using α-stable noise models

Signal Processing - Signal processing with heavy-tailed models
Stochastic gradient algorithms for equalisation in α-stable noise

Signal Processing
Adaptive filtering approaches for non-Gaussian stable processes

ICASSP '95 Proceedings of the Acoustics, Speech, and Signal Processing, 1995. on International Conference - Volume 02
Data block adaptive filtering algorithms for α-stable random processes

Digital Signal Processing
Robust chip-matched myriad filter-based multiuser receiver for impulsive channels

Signal Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper generalizes Burg's formula to be suitable for alpha-stable distribution and proposes a novel adaptive lattice algorithm for adaptive parameter estimation of alpha-stable AR processes. The performance is compared to that of other algorithms with lattice structure for alpha-stable AR processes for different @a parameter. Simulations studies indicate that the proposed algorithm shows superior convergence speed over existing well-known lattice algorithms in parameter estimation of alpha-stable processes.