DocumentCode :
1411836
Title :
On the continuity of the stationary state distribution of DPCM
Author :
Naraghi-Pour, Morteza ; Neuhoff, David L.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
Volume :
36
Issue :
2
fYear :
1990
fDate :
3/1/1990 12:00:00 AM
Firstpage :
305
Lastpage :
311
Abstract :
Continuity and singularity properties of the stationary state distribution of differential pulse code modulation (DPCM) are explored. Two-level DPCM (i.e. delta modulation) operating on a first-order autoregressive source is considered, and it is shown that, when the magnitude of the DPCM prediction coefficient is between zero and one-half, the stationary state distribution is singularly continuous; i.e. it is not discrete but concentrates on an uncountable set with a Lebesgue measure of zero. Consequently, it cannot be represented with a probability density function. For prediction coefficients with magnitude greater than or equal to one-half, the distribution is pure, i.e. either absolutely continuous and representable with a density function, or singular. This problem is compared to the well-known and still substantially unsolved problem of symmetric Bernoulli convolutions
Keywords :
delta modulation; pulse-code modulation; DPCM; continuity properties; delta modulation; differential pulse code modulation; first-order autoregressive source; prediction coefficient; probability density function; singularity properties; stationary state distribution; symmetric Bernoulli convolutions; Convolutional codes; Delta modulation; Density functional theory; Distributed computing; Markov processes; Modulation coding; Probability density function; Pulse modulation; Random processes; Stationary state;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/18.52477
Filename :
52477
Link To Document :
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