DocumentCode :
943026
Title :
Analysis of adaptive differential PCM of a stationary Gauss - Markov input
Author :
Gerr, Neil L. ; Cambanis, Stamatis
Volume :
33
Issue :
3
fYear :
1987
fDate :
5/1/1987 12:00:00 AM
Firstpage :
350
Lastpage :
359
Abstract :
An adaptive matched differential pulse-code modulator (AMDPCM) is analyzed. The adaptation of the symmetric uniform quantizer parameter \\Delta _{n} is performed by fixed multipliers assigned to the quantizer output levels. The input is stationary first-order Gauss-Markov. The correlation of the samples is used as the leakage parameter in the matched integrator, with the predictive reconstruction similarly matched. For a 4 -level quantizer and multipliers (\\gamma ^{-1}, \\gamma ) the limiting joint distribution of the prediction error and \\Delta _{n} is derived and the asymptotic sample-point and time-averaged mean-square error (rose) and mean and variance of \\Delta _{n} as functions of \\gamma \\in (1,2] are computed and plotted. It is found that the asymptotic performance of AMDPCM does not depend on the choice of \\Delta _{0} , that the increase in mse incurred by using A(M)DPCM instead of (M)DPCM with \\Delta _{opt} is small, with mse(A(M)DPCM) \\downarrow \\min_{\\Delta } mse ((M)DPCM) as \\gamma \\downarrow 1 , and that the signal-to-noise ratio of AMDPCM does not depend on the input power.
Keywords :
Differential pulse-code modulation; Markov processes; Delta modulation; Feedback; Gaussian processes; Information theory; Phase change materials; Pulse modulation; Quantization; Signal to noise ratio; Statistics;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.1987.1057318
Filename :
1057318
Link To Document :
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