Abstract

A hybrid differential pulse-code-modulation (DPCM) system is presented to demonstrate the application of fuzzy set theory in data compression. The system involves entropy coding, Laplacian quantiser and fuzzy enhancement operations as applied on the DPCM signal. Saving of about 0.5 bit is found to be obtained when a DPCM signal is quantised to 32-level, and then Huffman-coded.

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