DPCM encoding of regenerative composite processes

Author

Naraghi-Pour, Mort ; Hegde, Manju ; Arora, Namit

Author_Institution

Dept. of Electr. & Comput. Eng., Louisiana State Univ., Baton Rouge, LA, USA

Volume

40

Issue

1

fYear

1994

fDate

1/1/1994 12:00:00 AM

Firstpage

153

Lastpage

160

Abstract

Fixed (nonadaptive) and forward adaptive differential pulse code modulation of regenerative composite sources is investigated. In the fixed code, an approximate formula is given for the optimal value of the prediction coefficient. This is then used as an initial guess to optimize the code (predictor and quantizer) through a numerical method. In the forward adaptive scheme, the state of the switch in the composite source is estimated using a MAP sequence estimation algorithm, and the code is then matched to the mode process corresponding to the estimated switch state. The performance of the two systems is evaluated with quantizers of 4, 8, and 16 levels. The results show that the forward adaptive scheme significantly outperforms optimized fixed DPCM in the sense of mean-squared error. Stochastic stability of the code is also established for the fixed DPCM scheme as well as for an adaptive scheme which receives the switch state as side information

Keywords

encoding; estimation theory; filtering and prediction theory; parameter estimation; pulse-code modulation; stability; stochastic processes; DPCM encoding; MAP sequence estimation algorithm; estimated switch state; fixed nonadaptive differential pulse code modulation; forward adaptive differential pulse code modulation; mean-squared error; mode process; prediction coefficient; predictor; quantizer; regenerative composite processes; stochastic stability; Autoregressive processes; Encoding; Modulation coding; Pulse modulation; Random processes; Speech; Stability; State estimation; Stochastic processes; Switches;

fLanguage

English

Journal_Title

Information Theory, IEEE Transactions on

Publisher

ieee

ISSN

0018-9448

Type

jour

DOI

10.1109/18.272473

Filename

272473