QR Decomposition For Adaptive Filtering Application
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...
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my.usm.eprints.41807 http://eprints.usm.my/41807/ QR Decomposition For Adaptive Filtering Application Okwonu, Friday Zinzendoff QA1 Mathematics (General) 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. 2011-05 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/41807/1/FRIDAY_ZINZENDOFF_OKWONU.pdf Okwonu, Friday Zinzendoff (2011) QR Decomposition For Adaptive Filtering Application. Masters thesis, Universiti Sains Malaysia. |
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QA1 Mathematics (General) Okwonu, Friday Zinzendoff QR Decomposition For Adaptive Filtering Application |
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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. |
format |
Thesis |
author |
Okwonu, Friday Zinzendoff |
author_facet |
Okwonu, Friday Zinzendoff |
author_sort |
Okwonu, Friday Zinzendoff |
title |
QR Decomposition For Adaptive Filtering
Application
|
title_short |
QR Decomposition For Adaptive Filtering
Application
|
title_full |
QR Decomposition For Adaptive Filtering
Application
|
title_fullStr |
QR Decomposition For Adaptive Filtering
Application
|
title_full_unstemmed |
QR Decomposition For Adaptive Filtering
Application
|
title_sort |
qr decomposition for adaptive filtering
application |
publishDate |
2011 |
url |
http://eprints.usm.my/41807/1/FRIDAY_ZINZENDOFF_OKWONU.pdf http://eprints.usm.my/41807/ |
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1643710327298195456 |