METHOD AND PERFORMANCE OF THE OPTIMUM SCALAR QUANTIZER FOR A SIMPLE CLASS OF PROBABILITY DENSITY.

Hiroyasu Sakamoto, Teiji Ohta, Hiroshi Kondo

Research output: Contribution to journalArticle

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Abstract

A method for designing a rate-distortion optimum scalar quantizer is developed, and the performance of the optimum quantizer is compared with that of linear quantizers using means square error and output entropy, for a simple class of probability density function (pdf). The simple class means that pdf is unimodal and symmetric about its mode value, and is differentiable in both sides of symmetry. The method proposed here is based on solving the Kuhn-Tucker condition.

Original languageEnglish
Pages (from-to)309-316
Number of pages8
JournalTransactions of the Institute of Electronics and Communication Engineers of Japan. Section E
VolumeE68
Issue number5
Publication statusPublished - May 1985
Externally publishedYes

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Probability density function
Mean square error
Entropy

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

METHOD AND PERFORMANCE OF THE OPTIMUM SCALAR QUANTIZER FOR A SIMPLE CLASS OF PROBABILITY DENSITY. / Sakamoto, Hiroyasu; Ohta, Teiji; Kondo, Hiroshi.

In: Transactions of the Institute of Electronics and Communication Engineers of Japan. Section E, Vol. E68, No. 5, 05.1985, p. 309-316.

Research output: Contribution to journalArticle

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