Adaptive Near-Optimal Multiuser Detection Using a Stochastic and Hysteretic Hopfield Net Receiver

Adaptive Near-Optimal Multiuser Detection Using a Stochastic and Hysteretic Hopfield Net Receiver

This paper proposes a novel adaptive MUD algorithm for a wide variety (practically any kind) of interference limited systems, for example, code division multiple access (CDMA). The algorithm is based on recently developed neural network techniques and can perform near optimal detection in the case o...

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Bibliographic Details
Main Authors: Gábor Jeney, János Levendovszky, E. C. van der Meulen, László Pap
Format: Article
Language:English
Published: SpringerOpen 2003-01-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
CDMA system
adaptive detection
recurrent neural network
self-organizing maps
learning vector quantization.
Online Access:http://dx.doi.org/10.1155/S1110865702209130

Internet

http://dx.doi.org/10.1155/S1110865702209130

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