Abstract
MultiStage Vector Quantization(MSVQ) can achieve very low encoding and storage complexity in comparison to unstructured vector quantization. However, the conventional MSVQ is suboptimal with respect to the overall performance measure. This paper proposes a new technology to design the decoder codebook, which is different from the encoder codebook to optimise the overall performance. The performance improvement is achieved with no effect on encoding complexity, both storage and time consuming, but a modest increase in storage complexity of decoder.
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References
J. C. Culander, C. Y. Chang, SAR data compression: application, requirements and designs, N92-12428, 1992.
Z. Liang et al., Research in data compression for microwave imagery and its effect upon image quality, AD-A 202254.
B. H. Juang, A. H. Gray, “Multiple stage vector quantization for speech coding,” in Proc. ICASSP, paris, France: Apr. 982, 597–600.
A. Gersho, R. M. Gray, Vector Quantization and Signal Compression. New York: Kluwer Academic, 1992.
Y. Linde, A. Buzo, R. M. Gray, “An Algorithm for Vector Quantizer Design,”IEEE Trans. Commun.,COM-28(1980)1, 84–95.
J. Vaisey, A. Gersho, “Simulated annealing and codebook design,” in Proc. ICASSP, apr. 1988, 1176–1179.
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Minhui, Z., Hailiang, P., Yirong, W. et al. Enhanced multistage vector quantization for SAR raw data compression. J. of Electron.(China) 13, 97–101 (1996). https://doi.org/10.1007/BF02684748
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DOI: https://doi.org/10.1007/BF02684748