DocumentCode :
888063
Title :
Analysis of some redundancy removal bandwidth compression techniques
Author :
Ehrman, L.
Author_Institution :
SIGNATRON, Inc., Lexington, Mass.
Volume :
55
Issue :
3
fYear :
1967
fDate :
3/1/1967 12:00:00 AM
Firstpage :
278
Lastpage :
287
Abstract :
Three redundancy removal bandwidth compression algorithms --the floating-aperture predictor, the zero-order interpolator, and the fan interpolator--are analyzed. Theoretical expressions are found for the mean and mean-square times between output samples of these devices when the input signal is a Markov process. These expressions are evaluated for the case in which the input is a first-order Gaussian Markov process, and the resulting output sampling rates and transmission bandwidths are compared to those required by a PCM system using uniform sampling and optimum linear filter interpolation. It is shown that, given sufficient a priori knowledge of the signal process, there is little to be gained by using these redundancy removal techniques in place of the PCM system. However, if the signal statistics are unknown, the use of these algorithms instead of PCM may provide a considerable bandwidth reduction.
Keywords :
Algorithm design and analysis; Bandwidth; Compression algorithms; Interpolation; Markov processes; Nonlinear filters; Phase change materials; Signal processing; Signal sampling; Statistics;
fLanguage :
English
Journal_Title :
Proceedings of the IEEE
Publisher :
ieee
ISSN :
0018-9219
Type :
jour
DOI :
10.1109/PROC.1967.5482
Filename :
1447412
Link To Document :
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