System identification using neural networks and higher order statistics
The objective of this dissertation is to use neural network technology, in conjunction with second order statistics and higher order statistics, to identify signal models. Classical system identification method has always been based on the assumption that the observed signal is Gaussian. This type o...
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sg-ntu-dr.10356-196772023-07-04T16:02:01Z System identification using neural networks and higher order statistics Ngai, Chee Leong. Chen, Lihui School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering The objective of this dissertation is to use neural network technology, in conjunction with second order statistics and higher order statistics, to identify signal models. Classical system identification method has always been based on the assumption that the observed signal is Gaussian. This type of system can be identified using the first and second order statistics, i.e mean and covariance sequence. Master of Science (Communications and Computer Networking) 2009-12-14T06:21:12Z 2009-12-14T06:21:12Z 1995 1995 Thesis http://hdl.handle.net/10356/19677 en NANYANG TECHNOLOGICAL UNIVERSITY 150 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering Ngai, Chee Leong. System identification using neural networks and higher order statistics |
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The objective of this dissertation is to use neural network technology, in conjunction with second order statistics and higher order statistics, to identify signal models. Classical system identification method has always been based on the assumption that the observed signal is Gaussian. This type of system can be identified using the first and second order statistics, i.e mean and covariance sequence. |
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Chen, Lihui |
author_facet |
Chen, Lihui Ngai, Chee Leong. |
format |
Theses and Dissertations |
author |
Ngai, Chee Leong. |
author_sort |
Ngai, Chee Leong. |
title |
System identification using neural networks and higher order statistics |
title_short |
System identification using neural networks and higher order statistics |
title_full |
System identification using neural networks and higher order statistics |
title_fullStr |
System identification using neural networks and higher order statistics |
title_full_unstemmed |
System identification using neural networks and higher order statistics |
title_sort |
system identification using neural networks and higher order statistics |
publishDate |
2009 |
url |
http://hdl.handle.net/10356/19677 |
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1772827522511142912 |