Mohammad Shukri Salman
American University of the Middle East
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Publication
Featured researches published by Mohammad Shukri Salman.
Signal, Image and Video Processing | 2015
Muhammad Lawan Aliyu; Mujahid A. Alkassim; Mohammad Shukri Salman
The performance of the least mean square (LMS) algorithm in sparse system identification has been improved by exploiting the sparsity property. This improvement is gained by adding an
Signal, Image and Video Processing | 2015
Mohammad Naser Sabet Jahromi; Mohammad Shukri Salman; Aykut Hocanin; Osman Kukrer
international symposium on telecommunications | 2012
Mohammad Shukri Salman; Mohammad Naser Sabet Jahromi; Aykut Hocanin; Osman Kukrer
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international conference on technological advances in electrical electronics and computer engineering | 2013
Aminu Muhammad; Ibrahim Bala; Mohammad Shukri Salman; Alaa Eleyan
Knowledge Based Systems | 2016
Alaa Ali Hameed; Bekir Karlik; Mohammad Shukri Salman
l1-norm constraint to the cost function of the LMS algorithm. However, the LMS algorithm by itself performs poorly when the condition number is relatively high due to the step size of the LMS, and the
Circuits Systems and Signal Processing | 2015
Cemil Turan; Mohammad Shukri Salman
Signal, Image and Video Processing | 2017
Mohammad Naser Sabet Jahromi; Mohammad Shukri Salman; Aykut Hocanin; Osman Kukrer
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Signal, Image and Video Processing | 2015
Mohammad Shukri Salman; Osman Kukrer; Aykut Hocanin
signal processing and communications applications conference | 2014
Cemil Turan; Mohammad Shukri Salman
l1-norm LMS is an approximate method which, in turn, may not provide optimum performance. In this paper, we propose a sparse variable step-size LMS algorithm employing the
signal processing and communications applications conference | 2013
Cemil Tosik; Alaa Eleyan; Mohammad Shukri Salman
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