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Neural nets filters: integrated coding and signaling in communication systems

Author
Santamaría, M.; Lagunas, M.; Cabrera-Bean, Margarita
Type of activity
Presentation of work at congresses
Name of edition
1989 Mediterranean Electrotechnical Conference
Date of publication
1989
Presentation's date
1989-04
Book of congress proceedings
MELECON '89: Mediterranean Electrotechnical Conference: April, 11-12-13, 1989: Forum Picoas, Lisboa
First page
532
Last page
535
DOI
https://doi.org/10.1109/MELCON.1989.50099 Open in new window
Repository
http://hdl.handle.net/2117/88224 Open in new window
URL
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=50099 Open in new window
Abstract
The authors describe the potential of neural net filters in communication systems. They consider applications of neural networks in those fields associated with communications where time-varying linear systems need to be used; the structure of the neural net considered is the multiple-layer feed-forward network. It is shown that an FIR (finite impulse response) filter with finite representation of its output could be viewed as a two-layer neural net. Experiments on the equalization of nonlinear ...
Citation
Santamaría, M., Lagunas, M., Margarita Cabrera-Bean. Neural nets filters: integrated coding and signaling in communication systems. A: Mediterranean Electrotechnical Conference. "MELECON '89: Mediterranean Electrotechnical Conference: April, 11-12-13, 1989: Forum Picoas, Lisboa". Lisboa: 1989, p. 532-535.
Keywords
Decoding, Digital filters, Encoding, Filtering and prediction theory
Group of research
SPCOM - Signal Processing and Communications Group

Participants