Accession Number : AD0692379

Title :   OPTIMUM AND SUB-OPTIMUM COMPRESSION OF SECOND ORDER MARKOV DATA,

Corporate Author : NAVAL ORDNANCE LAB WHITE OAK MD

Personal Author(s) : Bruckheim,Arthur J.

Report Date : 10 JUN 1969

Pagination or Media Count : 155

Abstract : A new and more realistic model for telemetry data has been developed and analyzed. The model is Markovian in nature due to each data sample's statistical dependence on previous sample values and activity state. The conditional mode and conditional mean predictors are derived from the data model and shown to be optimum compression techniques. For the optimum techniques, expressions are developed for the error probability distribution and the redundant sample run length distribution as a function of aperture width. Monte Carlo techniques are employed to generate several varieties of data from the proposed model. Conventional compression methods such as the fan interpolator and the zero-order predictor are then used to process the generated samples. Experimental results confirm the superiority of the optimum techniques and also indicate that of the two conventional methods, the fan technique is preferred for small apertures whereas the zero-order predictor is more efficient for large aperture processing. (Author)

Descriptors :   (*TELEMETER SYSTEMS, DATA PROCESSING), TELEMETERING DATA, SPACE COMMUNICATIONS, CODING, DATA TRANSMISSION SYSTEMS, BANDWIDTH, STOCHASTIC PROCESSES, SAMPLING, MONTE CARLO METHOD, DISTRIBUTION FUNCTIONS, ALGORITHMS

Subject Categories : Telemetry

Distribution Statement : APPROVED FOR PUBLIC RELEASE