ICAR Research Data Repository for Knowledge Management
An optimum RBF network for signal detection in non-Gaussian noise
DSpace at IIT Bombay
View Archive Info| Field | Value | |
| Title |
An optimum RBF network for signal detection in non-Gaussian noise
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| Creator |
KHAIRNAR, DG
MERCHANT, SN DESAI, UB |
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| Description |
In this paper, we propose a radial basis function (RBF) neural network for detecting a known signal in the presence of non-Gaussian and Gaussian noise. In case of non-Gaussian noise, our study shows that RBF signal detector has significant improvement in performance characteristics; detection capability is better to those obtained with multilayer perceptrons (MLP) and the matched filter (MF) detector.
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| Publisher |
SPRINGER-VERLAG BERLIN
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| Date |
2011-10-23T18:30:46Z
2011-12-15T09:11:17Z 2011-10-23T18:30:46Z 2011-12-15T09:11:17Z 2005 |
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| Type |
Article; Proceedings Paper
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| Identifier |
PATTERN RECOGNITION AND MACHINE INTELLIGENCE, PROCEEDINGS,3776,306-309
3-540-30506-8 0302-9743 http://dspace.library.iitb.ac.in/xmlui/handle/10054/15201 http://hdl.handle.net/100/1970 |
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| Source |
1st International Conference on Pattern Recognition and Machine Intelligence,Kolkata, INDIA,DEC 20-22, 2005
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| Language |
English
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