Polynomial matrix decomposition using plane rotation

90 p.

Bibliographic Details
Main Author: Kongara Gangadhar.
Other Authors: Saman S Abeysekera
Format: Thesis
Published: 2011
Subjects:
Online Access:http://hdl.handle.net/10356/47031
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author Kongara Gangadhar.
author2 Saman S Abeysekera
author_facet Saman S Abeysekera
Kongara Gangadhar.
author_sort Kongara Gangadhar.
collection NTU
description 90 p.
first_indexed 2024-10-01T05:38:52Z
format Thesis
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institution Nanyang Technological University
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spelling ntu-10356/470312023-07-04T15:51:48Z Polynomial matrix decomposition using plane rotation Kongara Gangadhar. Saman S Abeysekera School of Electrical and Electronic Engineering DRNTU::Engineering 90 p. The polynomial matrix decomposition has many applications in the field of control, but in recent years they have also been used extensively in the area of digital signal processing and communications. Examples include adaptive array signal processing, MIMO and blind source separation. This dissertation tells about polynomial matrix decomposition using plane rotation for estimating the matrix of constant correlation matrix used in the blind source separation. Master of Science (Signal Processing) 2011-12-27T05:56:11Z 2011-12-27T05:56:11Z 2010 2010 Thesis http://hdl.handle.net/10356/47031 Nanyang Technological University application/pdf
spellingShingle DRNTU::Engineering
Kongara Gangadhar.
Polynomial matrix decomposition using plane rotation
title Polynomial matrix decomposition using plane rotation
title_full Polynomial matrix decomposition using plane rotation
title_fullStr Polynomial matrix decomposition using plane rotation
title_full_unstemmed Polynomial matrix decomposition using plane rotation
title_short Polynomial matrix decomposition using plane rotation
title_sort polynomial matrix decomposition using plane rotation
topic DRNTU::Engineering
url http://hdl.handle.net/10356/47031
work_keys_str_mv AT kongaragangadhar polynomialmatrixdecompositionusingplanerotation