Title :
Application of recurrent neural networks to channel equalization
Author :
Coelho, Pedro Henriquce Gouvêa
Author_Institution :
Dept. of Eng. Electr., Univ. Federal do Maranhao, Bacanga, Brazil
fDate :
27 Jun-1 Jul 1994
Abstract :
This paper presents a recurrent neural network based channel equalizer. Simulations show that the proposed equalizer performance compares favorably with traditional ones and offers a large flexibility regarding its capability of tracking channel variations
Keywords :
equalisers; recurrent neural nets; signal processing; telecommunication channels; channel equalization; channel equalizer; equalizer performance; recurrent neural networks; simulations; tracking channel variations; Acceleration; Equalizers; FAA; Neural networks; Neurofeedback; Recurrent neural networks; Uncertainty;
Conference_Titel :
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location :
Trondheim
Print_ISBN :
0-7803-2015-8
DOI :
10.1109/ISIT.1994.394659
