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Performance analysis of normalized least mean p-norm lattice algorithm for alpha-stable processes

  • Queensland University of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

The existence of impulsive noise with α-stable distributions has been addressed in many applications. We present two new adaptive algorithms using the lattice structure for α-stable processes. In these algorithms fractional lower order moments of residual errors are used to update the filter coefficients. Based on the empirical results, the proposed algorithms show superior convergence speed over presently available techniques in parameter estimation of α-stable processes. The problem of misalignment of the mean of the estimated parameters with respect to the true values is also addressed.

Original languageEnglish
Title of host publicationISSPA 1999 - Proceedings of the 5th International Symposium on Signal Processing and Its Applications
PublisherIEEE Computer Society
Pages387-390
Number of pages4
ISBN (Print)1864354518, 9781864354515
DOIs
StatePublished - 1999
Externally publishedYes
Event5th International Symposium on Signal Processing and Its Applications, ISSPA 1999 - Brisbane, QLD, Australia
Duration: 22 Aug 199925 Aug 1999

Publication series

NameISSPA 1999 - Proceedings of the 5th International Symposium on Signal Processing and Its Applications
Volume1

Conference

Conference5th International Symposium on Signal Processing and Its Applications, ISSPA 1999
Country/TerritoryAustralia
CityBrisbane, QLD
Period22/08/9925/08/99

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