Explicit additive noise models for uniform and nonuniform MMSE quantization

Khalid Sayood, Jerry D. Gibson

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 languageEnglish (US)
Pages (from-to)407-414
Number of pages8
JournalSignal Processing
Volume7
Issue number4
DOIs
StatePublished - 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

Access to Document

Fingerprint Dive into the research topics of 'Explicit additive noise models for uniform and nonuniform MMSE quantization'. Together they form a unique fingerprint.

Cite this