DocumentCode
2618359
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
fYear
1994
fDate
27 Jun-1 Jul 1994
Firstpage
359
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location
Trondheim
Print_ISBN
0-7803-2015-8
Type
conf
DOI
10.1109/ISIT.1994.394659
Filename
394659
Link To Document