DocumentCode
2790140
Title
Shape coded modulation using neural networks
Author
Als, A. ; Sodha, J.
Author_Institution
Dept. of Comput. Sci., Math. & Phys., Univ. of the West Indies, Bridgetown, Barbados
fYear
1997
fDate
12-14 Apr 1997
Firstpage
255
Lastpage
257
Abstract
Shape coded modulation is a combined modulation and error-control coding technique. The performance of a neural network decoder for shape coded modulation is compared with a decoder based on a complex algorithm. Simulation results over a range of signal-to-noise ratios (SNRs), for rate 1/2 and rate 1/4 shape codes, show that a single neural network decoder trained at a high SNR, provides near optimum results over all SNRs
Keywords
decoding; error correction codes; feedforward neural nets; modulation coding; multilayer perceptrons; neural nets; quadrature phase shift keying; telecommunication computing; complex algorithm; error-control coding; feedforward multilayer perceptron; high SNR; neural network decoder; optimum results; performance; rate 1/2 shape code; rate 1/4 shape code; shape coded modulation; signal to noise ratios; simulation results; Constellation diagram; Decoding; Demodulation; Digital modulation; Modulation coding; Neural networks; Neurons; Quadrature phase shift keying; Shape; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Southeastcon '97. Engineering new New Century., Proceedings. IEEE
Conference_Location
Blacksburg, VA
Print_ISBN
0-7803-3844-8
Type
conf
DOI
10.1109/SECON.1997.598684
Filename
598684
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