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dc.contributor.authorSoury, Hamza
dc.contributor.authorAbed-Meraim, Karim
dc.contributor.authorAlouini, Mohamed-Slim
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.
dc.subjectLow-Rank
dc.titleReduced Rank Adaptive Filtering in Impulsive Noise Environments
dc.typePoster
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.conference.dateJanuary 6-10, 2014
dc.conference.nameAdvances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2014)
dc.conference.locationKAUST
dc.contributor.institutionPolytech’ Orl ´eans
kaust.personSoury, Hamza
kaust.personAlouini, Mohamed-Slim
refterms.dateFOA2018-06-14T04:51:07Z


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