Handle URI:
http://hdl.handle.net/10754/623988
Title:
Reduced Rank Adaptive Filtering in Impulsive Noise Environments
Authors:
Soury, Hamza ( 0000-0001-7914-2973 ) ; Abed-Meraim, Karim; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
An impulsive noise environment is used 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. The minimized objective function is defined using the Lp norm. The results are presented and the efficiency of each algorithm is discussed.
KAUST Department:
Computer, Electrical and Mathematical Sciences & Engineering (CEMSE)
Conference/Event name:
Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2014)
Issue Date:
6-Jan-2014
Type:
Poster
Appears in Collections:
Posters; Conference on Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2014)

Full metadata record

DC FieldValue Language
dc.contributor.authorSoury, Hamzaen
dc.contributor.authorAbed-Meraim, Karimen
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2017-06-01T10:20:42Z-
dc.date.available2017-06-01T10:20:42Z-
dc.date.issued2014-01-06-
dc.identifier.urihttp://hdl.handle.net/10754/623988-
dc.description.abstractAn impulsive noise environment is used 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. The minimized objective function is defined using the Lp norm. The results are presented and the efficiency of each algorithm is discussed.en
dc.subjectLow-Ranken
dc.titleReduced Rank Adaptive Filtering in Impulsive Noise Environmentsen
dc.typePosteren
dc.contributor.departmentComputer, Electrical and Mathematical Sciences & Engineering (CEMSE)en
dc.conference.dateJanuary 6-10, 2014en
dc.conference.nameAdvances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2014)en
dc.conference.locationKAUSTen
dc.contributor.institutionPolytech’ Orl ´eansen
kaust.authorSoury, Hamzaen
kaust.authorAlouini, Mohamed-Slimen
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