• 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