NDLI: Blind multi-valued signals detection using discrete Hopfield network

Content Provider	IEEE Xplore Digital Library
Author	Yun Zhang Zhi-Yong Zhang
Copyright Year	2010
Description	Author affiliation: College of Automation, Nanjing University of Posts & Telecommunications, China (Zhi-Yong Zhang) \|\| College of Telecommunications & Information Engineering, Nanjing University of Posts & Telecommunications, China (Yun Zhang)
Abstract	The conventional neural networks which are limited to two-state neurons are not able to solve the problem of blind multi-valued signal detection. A new algorithm based on discrete Hopfield neural network(DHNN) is proposed to detect multivalued signals blindly. A discrete 4-level signum-type activation function is constructed for 4PAM signals. For the blind signal detection, the optimization performance function is constructed and it does not rely on the second or higher order statistics of the received signals. Based on the new weight matrixes and the energy function of multi-value DHNN, the stability for multi-value DHNN is also proved in the paper. Simulation results show that the algorithm reach the real equilibrium points in a few iterations and show high speed to blindly detect multi-valued signals in stochastic channels.
Starting Page	1079
Ending Page	1083
File Size	278837
Page Count	5
File Format	PDF
ISBN	9781424459582
e-ISBN	9781424459612
DOI	10.1109/ICNC.2010.5583004
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multi-valued signals Simulation blind detection Neurons Bit error rate Hopfield neural networks Artificial neural networks Discrete hopfield neural network(DHNN) Signal detection Signal to noise ratio
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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