On Zador's entropy-constrained quantization theorem

R. M. Gray; Jia Li

On Zador's entropy-constrained quantization theorem

R. M. Gray
, Jia Li

Research output: Contribution to journal › Conference article › peer-review

Abstract

Zador's classic result for the asymptotic high-rate behavior of entropy-constrained vector quantization is recast in a Lagrangian form which better matches the Lloyd algorithm used to optimize such quantizers. A proof that the result holds for a general class of distributions is sketched.

Original language	English (US)
Pages (from-to)	3-12
Number of pages	10
Journal	Data Compression Conference Proceedings
State	Published - Jan 1 2001
Event	Data Compression Conference - Snowbird, UT, United States Duration: Mar 27 2001 → Mar 29 2001

All Science Journal Classification (ASJC) codes

Computer Networks and Communications

Cite this

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title = "On Zador's entropy-constrained quantization theorem",

abstract = "Zador's classic result for the asymptotic high-rate behavior of entropy-constrained vector quantization is recast in a Lagrangian form which better matches the Lloyd algorithm used to optimize such quantizers. A proof that the result holds for a general class of distributions is sketched.",

author = "Gray, \{R. M.\} and Jia Li",

year = "2001",

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AU - Gray, R. M.

AU - Li, Jia

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AB - Zador's classic result for the asymptotic high-rate behavior of entropy-constrained vector quantization is recast in a Lagrangian form which better matches the Lloyd algorithm used to optimize such quantizers. A proof that the result holds for a general class of distributions is sketched.

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M3 - Conference article

AN - SCOPUS:0035006209

SN - 1068-0314

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JO - Data Compression Conference Proceedings

JF - Data Compression Conference Proceedings

T2 - Data Compression Conference

Y2 - 27 March 2001 through 29 March 2001

ER -

On Zador's entropy-constrained quantization theorem

Abstract

All Science Journal Classification (ASJC) codes

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