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’Reduced Rank Adaptive Filtering in Impulsive Noise Environments

Hamza Soury 1 Karim Abed-Meraim 2 Mohamed-Slim Alouini 1
1 KAUST - King Abdullah University of Science and Technology
2 PRISME - Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique
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.
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Conference papers
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https://hal.inria.fr/hal-01103044
Contributor : Karim Abed-Meraim <>
Submitted on : Tuesday, January 13, 2015 - 10:03:21 PM
Last modification on : Tuesday, June 1, 2021 - 10:00:18 AM

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  • HAL Id : hal-01103044, version 1

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UNIV-ORLEANS | MSL | MSL-THESE | PRISME-CVL

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Hamza Soury, Karim Abed-Meraim, Mohamed-Slim Alouini. ’Reduced Rank Adaptive Filtering in Impulsive Noise Environments. ASILOMAR, Nov 2014, Asilomar, United States. ⟨hal-01103044⟩

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