Title :
A neural network communication equalizer with optimized solution capability
Author :
Chen, David C. ; Sheu, Bing J. ; Chou, Eric Y.
Author_Institution :
Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
Artificial neural network approaches in communication have been motivated by the adaptive learning capability and the collective computational properties to process real world signals. In this paper, a one-dimensional compact neural network receiver as a paralleled computational framework of the maximum likelihood sequence estimation (MLSE) is presented. Optimum solution can be obtained by applying the hardware annealing which is a deterministic method for searching a globally minimum energy state in a short period of time
Keywords :
Gaussian noise; digital communication; equalisers; intersymbol interference; maximum likelihood estimation; neural nets; signal processing; simulated annealing; adaptive learning capability; deterministic method; globally minimum energy state; hardware annealing; maximum likelihood sequence estimation; neural network communication equalizer; one-dimensional compact neural network receiver; optimized solution capability; paralleled computational framework; Annealing; Artificial neural networks; Computer networks; Concurrent computing; Energy states; Equalizers; Hardware; Maximum likelihood estimation; Neural networks; Signal processing;
Conference_Titel :
Neural Networks, 1996., IEEE International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-3210-5
DOI :
10.1109/ICNN.1996.549201
