QR Decomposition For Adaptive Filtering Application

Okwonu, Friday Zinzendoff (2011) QR Decomposition For Adaptive Filtering Application. Masters thesis, Universiti Sains Malaysia.

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Abstract

This thesis is designed to investigate adaptive filtering problem based on QR decomposition techniques. An adaptive filter is a self modifying digital filter that adjusts its parameters in order to minimize a defined error function. Adaptive algorithm is applied to adapt the coefficient of the used filter to nonstationary process in which the coefficient of the adaptive filter is adapted in order to minimize the error function. Adaptive filtering problem is an adaptive form of least squares problem.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > QA1 Mathematics (General)
Divisions: Pusat Pengajian Sains Matematik (School of Mathematical Sciences) > Thesis
Depositing User: ASM Ab Shukor Mustapa
Date Deposited: 07 Sep 2018 07:53
Last Modified: 12 Apr 2019 05:26
URI: http://eprints.usm.my/id/eprint/41807

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