Pipeline synthetic aperture radar data compression utilizing sys

Coded data generation or conversion – Digital code to digital code converters – Adaptive coding

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341 79, H03M 700

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active

054772214

ABSTRACT:
A system for data compression utilizing systolic array architecture for Vector Quantization (VQ) is disclosed for both full-searched and tree-searched. For a tree-searched VQ, the special case of a Binary Tree-Search VQ (BTSVQ) is disclosed with identical Processing Elements (PE) in the array for both a Raw-Codebook VQ (RCVQ) and a Difference-Codebook VQ (DCVQ) algorithm. A fault tolerant system is disclosed which allows a PE that has developed a fault to be bypassed in the array and replaced by a spare at the end of the array, with codebook memory assignment shifted one PE past the faulty PE of the array.

REFERENCES:
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patent: 5010401 (1991-04-01), Murakami et al.
C. Y. Chang, et al., "Data Compression of Synthetic Aperture Radar Imagery," JPL D-5210, 1988.
P. R. Cappello, et al., "A Systolic Vector Quantization Processor for Real-Time Speech Coding," Proc. of ICASSP, pp. 2143-2146, Tokyo, 1986.
R. Dianysian, et al., "A VLSI Chip Set for Real-Time Vector Quantization of Image Sequences," Proc. of Int. Symp. on Circuits and Systems, May 1987.
C. Y. Chang, et al., "Systolic Array Processing of the Viterbi Algorithm," IEEE Trans. on Information Theory, vol. 35, No. 1, pp. 76-86, Jan. 1989.

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