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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| Format: | Thesis |
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2007
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| Online Access: | http://shdl.mmu.edu.my/1156/ |
| _version_ | 1848789708739444736 |
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| author | Gangathran, N. |
| author_facet | Gangathran, N. |
| author_sort | Gangathran, N. |
| building | MMU Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T18:01:01Z |
| format | Thesis |
| id | mmu-1156 |
| institution | Multimedia University |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:01:01Z |
| publishDate | 2007 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-11562010-08-23T02:42:03Z http://shdl.mmu.edu.my/1156/ Investigation Into The Planar Least Squares Inverse(PLSI) Method Of Stabilizing Two-Dimensional (2-D) Recursive Digital Filters 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 NonPeerReviewed Gangathran, N. (2007) Investigation Into The Planar Least Squares Inverse(PLSI) Method Of Stabilizing Two-Dimensional (2-D) Recursive Digital Filters. PhD thesis, Multimedia University. http://myto.perpun.net.my/metoalogin/logina.php |
| 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 |
| title | 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_short | 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 |
| topic | QA299.6-433 Analysis |
| url | http://shdl.mmu.edu.my/1156/ http://shdl.mmu.edu.my/1156/ |