Explicit additive noise models for uniform and nonuniform MMSE quantization

Khalid Sayood; Jerry D. Gibson

doi:10.1016/0165-1684(84)90038-0

Explicit additive noise models for uniform and nonuniform MMSE quantization

Khalid Sayood, Jerry D. Gibson

Electrical & Computer Engineering

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

Additive noise models for the minimum mean squared error quantization of a random variable are presented. The first and second moments of all variables are evaluated, and an exact expression for the correlation between the input variable and the quantization noise is derived.

Original language	English (US)
Pages (from-to)	407-414
Number of pages	8
Journal	Signal Processing
Volume	7
Issue number	4
DOIs	https://doi.org/10.1016/0165-1684(84)90038-0
State	Published - Dec 1984

Keywords

Additive noise
Quantization

ASJC Scopus subject areas

Control and Systems Engineering
Software
Signal Processing
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

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10.1016/0165-1684(84)90038-0

Cite this

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title = "Explicit additive noise models for uniform and nonuniform MMSE quantization",

abstract = "Additive noise models for the minimum mean squared error quantization of a random variable are presented. The first and second moments of all variables are evaluated, and an exact expression for the correlation between the input variable and the quantization noise is derived.",

keywords = "Additive noise, Quantization",

author = "Khalid Sayood and Gibson, {Jerry D.}",

year = "1984",

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doi = "10.1016/0165-1684(84)90038-0",

language = "English (US)",

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T1 - Explicit additive noise models for uniform and nonuniform MMSE quantization

AU - Sayood, Khalid

AU - Gibson, Jerry D.

PY - 1984/12

Y1 - 1984/12

N2 - Additive noise models for the minimum mean squared error quantization of a random variable are presented. The first and second moments of all variables are evaluated, and an exact expression for the correlation between the input variable and the quantization noise is derived.

AB - Additive noise models for the minimum mean squared error quantization of a random variable are presented. The first and second moments of all variables are evaluated, and an exact expression for the correlation between the input variable and the quantization noise is derived.

KW - Additive noise

KW - Quantization

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DO - 10.1016/0165-1684(84)90038-0

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JO - Signal Processing

JF - Signal Processing

SN - 0165-1684

IS - 4

ER -

Explicit additive noise models for uniform and nonuniform MMSE quantization

Abstract

Keywords

ASJC Scopus subject areas

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