DocumentCode :
772611
Title :
Hybrid Adaptive Quantization for Speech Coding
Author :
Nasr, M. E M ; Chakravarthy, C.V.
Author_Institution :
Indian Institute of Science, Bangalore, India
Volume :
32
Issue :
12
fYear :
1984
fDate :
12/1/1984 12:00:00 AM
Firstpage :
1358
Lastpage :
1361
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.
Keywords :
Adaptive pulse-code modulation; Pulse-code modulation; Quantization (signal); Signal quantization; Speech coding; Adaptive algorithm; Delta modulation; Encoding; Filters; Government; Phase change materials; Quantization; Sampling methods; Signal to noise ratio; Speech coding;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/TCOM.1984.1096004
Filename :
1096004
Link To Document :
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