DocumentCode
1190597
Title
The use of neural nets to combine equalization with decoding for severe intersymbol interference channels
Author
Al-Mashouq, Khalid A. ; Reed, Irving S.
Author_Institution
Dept. of Electr. Eng., King Saud Univ., Riyadh, Saudi Arabia
Volume
5
Issue
6
fYear
1994
fDate
11/1/1994 12:00:00 AM
Firstpage
982
Lastpage
988
Abstract
This paper deals with the problem of combining equalization with decoding in channels which have severe intersymbol interference. A multilayer neural net structure is proposed to achieve the process of equalization and decoding simultaneously. Experimental examples show that this method results in a substantial improvement over the more conventional methods of performing equalization and decoding
Keywords
block codes; decoding; equalisers; error correction codes; feedforward neural nets; intersymbol interference; telecommunication channels; decoding; discrete time communication system; equalization; error correcting codes; intersymbol interference channels; multilayer neural net; AWGN; Communication channels; Decoding; Equalizers; Finite impulse response filter; Hardware; Intersymbol interference; Multi-layer neural network; Neural networks; Performance gain;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/72.329696
Filename
329696
Link To Document