OPTIMIZATION OF NON-ADAPTIVE DIFFERENTIAL PCM SYSTEMS FOR MARKOV-1 SIGNALS,

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Abstract:

The response of a non-adaptive differential pulse code modulation system to a first order Markov input signal is investigated through computer simulation techniques, and an attempt is made to optimize both the predictor and quantizer with respect to that signal. The criteria used are signal-to-quantizing noise ratio and entropy of the transmitted signal. Channel noise is not considered. Both uniform and nonuniform quantization are examined, but only linear prediction is used. The sequence of Markov-1 input samples is generated by passing uncorrelated Gaussian variables, which are created by a random number generator, through a simulated digital filter. Author

Author(s):
Rabinowitz, A. S.
Author Organization(s):
NORTH CAROLINA STATE UNIV RALEIGH DEPT OF ELECTRICAL ENGINEERING
Supplementary Note:
Report on Project THEMIS.
Pagination:
0092

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release

RECORD

Collection: TR
Identifying Numbers
Report Number(s):
AFOSR-69-2981TR
Contract/Grant Number(s):
F44620-69-C-0033
Project Number(s):
AF-7921
Monitor Series:
69-2981TR
 Subject Terms
Communities of Interest:
No COI(s) Identified
Descriptor(s):
(*INFORMATION THEORY, *PULSE CODE MODULATION), TELEVISION SYSTEMS, DIGITAL SYSTEMS, COMPUTER PROGRAMS, CORRELATION TECHNIQUES, STOCHASTIC PROCESSES, OPTIMIZATION, SAMPLING, SIMULATION
Field(s)/Group(s):
Cybernetics
Keyword(s):
COMPUTERIZED SIMULATION, DIGITAL FILTERS, DIFFERENTIAL PULSE CODE MODULATION, KALMAN FILTERS, THEMIS PROJECT
Report Date:
1969 May 01