DocumentCode :
917235
Title :
Adaptive decision-feedback predictive coding of digital sources
Author :
Mark, J.W.
Author_Institution :
University of Waterloo, Department of Electrical Engineering, Waterloo, Canada
Volume :
128
Issue :
3
fYear :
1981
fDate :
6/1/1981 12:00:00 AM
Firstpage :
155
Lastpage :
160
Abstract :
A 1-bit adaptive decision-feedback predictive coding (ADFPC) system is derived on the assumption of `good¿¿ decisions. The predictor in the ADFPC is made adaptive by projecting the gradient, at each iteration, along the co-ordinate which exhibits the maximum absolute gradient. This gradient-seeking method requires that the stepsize only needs to be optimum with respect to a single coefficient (co-ordinate) during each iteration. A formula for calculating the stepsize at each iteration is obtained via a minimisation of the squared prediction error. Simulation results obtained in the encoding of a 1st-order autoregressive source and a monochrome image (with the analogue sources digitised by a 6-bit quantiser prior to encoding) reveal that the ADFPC is robust and exhibits good performance.
Keywords :
digital signals; encoding; filtering and prediction theory; adaptive decision-feedback predictive coding; autoregressive source; digital sources; gradient-seeking method; maximum absolute gradient; monochrome image; squared prediction error;
fLanguage :
English
Journal_Title :
Communications, Radar and Signal Processing, IEE Proceedings F
Publisher :
iet
ISSN :
0143-7070
Type :
jour
DOI :
10.1049/ip-f-1.1981.0025
Filename :
4644925
Link To Document :
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