Entropy-Constrained Successively Refinable Scaler Quantization

نویسندگان

  • Hamid Jafarkhani
  • Hugh Brunk
  • Nariman Farvardin
چکیده

We study the design of entropy{constrained successively reenable scalar quantizers. We propose two algorithms to minimize the average distortion and design such a quantizer. We consider two sets of constraints on the entropy: (i) constraint on the average rate and (ii) constraint on aggregate rates. Both algorithms can be easily extended to design vector quantizers.

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تاریخ انتشار 1997