Investigation Into The Planar Least Squares Inverse(PLSI) Method Of Stabilizing Two-Dimensional (2-D) Recursive Digital Filters

Investigation Into The Planar Least Squares Inverse(PLSI) Method Of Stabilizing Two-Dimensional (2-D) Recursive Digital Filters

The objective of this thesis is to provide a complete solution to the PLSI method of stabilizing recursive digital filters. It is proved in this thesis that if the original unstable 2-D quarter-plane (QP) polynomial and the corresponding PLSI are of the same degree being less than or equal to two, t...

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Main Author: Gangathran, N.
Format: Thesis
Published: 2007
Subjects:
QA299.6-433 Analysis
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spelling my-mmu-ep.11562010-08-23T02:42:03Z Investigation Into The Planar Least Squares Inverse(PLSI) Method Of Stabilizing Two-Dimensional (2-D) Recursive Digital Filters 2007-11 Gangathran, N. QA299.6-433 Analysis The objective of this thesis is to provide a complete solution to the PLSI method of stabilizing recursive digital filters. It is proved in this thesis that if the original unstable 2-D quarter-plane (QP) polynomial and the corresponding PLSI are of the same degree being less than or equal to two, the PLSI polynomial is always stable. Alternatively, if the coefficient matrix [A] of the given unstable polynomial is centrosymmetric, or symmetric and is of order greater than two, then the PLSI polynomial need not be stable. 2007-11 Thesis http://shdl.mmu.edu.my/1156/ http://myto.perpun.net.my/metoalogin/logina.php phd doctoral Multimedia University Research Library
institution Multimedia University
collection MMU Institutional Repository
topic QA299.6-433 Analysis
spellingShingle QA299.6-433 Analysis
Gangathran, N.
Investigation Into The Planar Least Squares Inverse(PLSI) Method Of Stabilizing Two-Dimensional (2-D) Recursive Digital Filters
description The objective of this thesis is to provide a complete solution to the PLSI method of stabilizing recursive digital filters. It is proved in this thesis that if the original unstable 2-D quarter-plane (QP) polynomial and the corresponding PLSI are of the same degree being less than or equal to two, the PLSI polynomial is always stable. Alternatively, if the coefficient matrix [A] of the given unstable polynomial is centrosymmetric, or symmetric and is of order greater than two, then the PLSI polynomial need not be stable.
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Gangathran, N.
author_facet Gangathran, N.
author_sort Gangathran, N.
title Investigation Into The Planar Least Squares Inverse(PLSI) Method Of Stabilizing Two-Dimensional (2-D) Recursive Digital Filters
title_short Investigation Into The Planar Least Squares Inverse(PLSI) Method Of Stabilizing Two-Dimensional (2-D) Recursive Digital Filters
title_full Investigation Into The Planar Least Squares Inverse(PLSI) Method Of Stabilizing Two-Dimensional (2-D) Recursive Digital Filters
title_fullStr Investigation Into The Planar Least Squares Inverse(PLSI) Method Of Stabilizing Two-Dimensional (2-D) Recursive Digital Filters
title_full_unstemmed Investigation Into The Planar Least Squares Inverse(PLSI) Method Of Stabilizing Two-Dimensional (2-D) Recursive Digital Filters
title_sort investigation into the planar least squares inverse(plsi) method of stabilizing two-dimensional (2-d) recursive digital filters
granting_institution Multimedia University
granting_department Research Library
publishDate 2007
_version_ 1747829304145739776

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