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Hybrid Adaptive Quantization for Speech Coding

Nasr, MEM and Chakravarthy, CV (1984) Hybrid Adaptive Quantization for Speech Coding. In: IEEE Transactions on Communications, 32 (12). pp. 1358-1361.

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Abstract

This correspondence describes a new quantization technique called hybrid adaptive quantization (HAQ) that uses instantaneous [1], [2] as well as syllabic [3] adaptation of the step size. Two types of instantaneous adaptive algorithms have been used-Jayant's adaptive quantizer (JAQ) and the incremental adaptive quantizer (IAQ). Computer simulations have been performed for a sine-wave, correlated Gaussian signal and digitized speech. Signal-to-noise ratio (SNR) computation for PCM and DPCM coders indicates that the hybrid technique is superior to the normal adaptive quantizer, when both have the same ratio of maximum to minimum step size.

Item Type: Journal Article
Additional Information: �©1984 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 26 Jul 2005
Last Modified: 19 Sep 2010 04:19
URI: http://eprints.iisc.ernet.in/id/eprint/3400

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