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Document Type:Latin Dissertation
Language of Document:English
Record Number:52640
Doc. No:TL22594
Call number:‭1533930‬
Main Entry:Umair Bin Mansoor
Title & Author:Quasi-Newton Least-Mean Fourth adaptive algorithmUmair Bin Mansoor
College:King Fahd University of Petroleum and Minerals (Saudi Arabia)
Date:2009
Degree:M.S.
student score:2009
Page No:130
Abstract:In this thesis, a novel Quasi-Newton Least-Mean Fourth (QNLMF) adaptive filtering algorithm is analyzed. The main aim of this research is to derive the QNLMF adaptive algorithm and assess its performance in different noise environments. More specifically, both the convergence analysis and the steady-state performance analysis were derived. Finally, a number of simulation results were carried out to corroborate the theoretical findings.
Subject:Communication and the arts; Communication; 0459:Communication
Added Entry:A. Zerguine
Added Entry:King Fahd University of Petroleum and Minerals (Saudi Arabia)