Polynomial matrix decomposition using plane rotation
90 p.
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2011
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sg-ntu-dr.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 |
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DRNTU::Engineering Kongara Gangadhar. Polynomial matrix decomposition using plane rotation |
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90 p. |
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Saman S Abeysekera |
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Saman S Abeysekera Kongara Gangadhar. |
format |
Theses and Dissertations |
author |
Kongara Gangadhar. |
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Kongara Gangadhar. |
title |
Polynomial matrix decomposition using plane rotation |
title_short |
Polynomial matrix decomposition using plane rotation |
title_full |
Polynomial matrix decomposition using plane rotation |
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Polynomial matrix decomposition using plane rotation |
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Polynomial matrix decomposition using plane rotation |
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polynomial matrix decomposition using plane rotation |
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2011 |
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http://hdl.handle.net/10356/47031 |
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1772827155971964928 |