Conference paper
The modified probabilistic neural network as a nonlinear correlator detector
Proceedings of ICNN'95 - International Conference on Neural Networks, Vol.1, pp.309-313
IEEE
Proceedings., IEEE International Conference on Neural Networks (Perth, Western Australia, 27/11/1995–01/12/1995)
1995
Abstract
A nonlinear correlator detector for the detection of a signal class with some intra class variance is developed using the modified probabilistic neural network and the general regression neural network. An application, involving the detection of regular tone bursts transmitted over a poor and noisy radio channel subjected to fading, random noise and impulse noise effects, is used to show the effectiveness of the method as compared to a linear correlator
Details
- Title
- The modified probabilistic neural network as a nonlinear correlator detector
- Authors/Creators
- A. Zaknich (Author/Creator) - The University of Western AustraliaY. Attikiouzel (Author/Creator) - The University of Western Australia
- Publication Details
- Proceedings of ICNN'95 - International Conference on Neural Networks, Vol.1, pp.309-313
- Conference
- Proceedings., IEEE International Conference on Neural Networks (Perth, Western Australia, 27/11/1995–01/12/1995)
- Publisher
- IEEE
- Identifiers
- 991005540992507891
- Copyright
- © 1995 IEEE
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Conference paper
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