Reduced rank adaptive filtering in impulsive noise environments

Hamza Soury, Karim Abed-Meraim, Mohamed-Slim Alouini

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

An impulsive noise environment is considered in this paper. A new aspect of signal truncation is deployed to reduce the harmful effect of the impulsive noise to the signal. A full rank direct solution is derived followed by an iterative solution. The reduced rank adaptive filter is presented in this environment by using two methods for rank reduction, while the minimized objective function is defined using the Lp norm. The results are presented and the efficiency of each method is discussed. © 2014 IEEE.
Original languageEnglish (US)
Title of host publication2014 48th Asilomar Conference on Signals, Systems and Computers
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages2037-2041
Number of pages5
ISBN (Print)9781479982974
DOIs
StatePublished - Nov 2014

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