Radial basis function networks for communication channel equalisation

Radial basis function networks for communication channel equalisation

This thesis presents the application of a minimal radial basis function (RBF) neural network, referred to as MRAN (Minimal Resource Allocation Network) for communication channel equalisation and co-channel interference rejection. Unlike most classical RBF neural networks with the number of hidden ne...

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Main Author: Chandra Kumar, P.
Other Authors: Saratchandran, Paramasivan
Format: Theses and Dissertations
Language:English
Published: 2008
Subjects:
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Online Access:http://hdl.handle.net/10356/13191
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-13191
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spelling sg-ntu-dr.10356-131912023-07-04T16:22:16Z Radial basis function networks for communication channel equalisation Chandra Kumar, P. Saratchandran, Paramasivan School of Electrical and Electronic Engineering Sundararajan, Narasimhan DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence This thesis presents the application of a minimal radial basis function (RBF) neural network, referred to as MRAN (Minimal Resource Allocation Network) for communication channel equalisation and co-channel interference rejection. Unlike most classical RBF neural networks with the number of hidden neurons fixed apriori, the MRAN network structure is dynamic. Master of Engineering 2008-10-20T07:18:13Z 2008-10-20T07:18:13Z 1998 1998 Thesis http://hdl.handle.net/10356/13191 en 109.p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Chandra Kumar, P.
Radial basis function networks for communication channel equalisation
description This thesis presents the application of a minimal radial basis function (RBF) neural network, referred to as MRAN (Minimal Resource Allocation Network) for communication channel equalisation and co-channel interference rejection. Unlike most classical RBF neural networks with the number of hidden neurons fixed apriori, the MRAN network structure is dynamic.
author2 Saratchandran, Paramasivan
author_facet Saratchandran, Paramasivan
Chandra Kumar, P.
format Theses and Dissertations
author Chandra Kumar, P.
author_sort Chandra Kumar, P.
title Radial basis function networks for communication channel equalisation
title_short Radial basis function networks for communication channel equalisation
title_full Radial basis function networks for communication channel equalisation
title_fullStr Radial basis function networks for communication channel equalisation
title_full_unstemmed Radial basis function networks for communication channel equalisation
title_sort radial basis function networks for communication channel equalisation
publishDate 2008
url http://hdl.handle.net/10356/13191
_version_ 1772825526543581184

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