MAXIMUM-DISTANCE QUANTIZATION FOR DETECTION.

H. Vincent Poor; J. B. Thomas

MAXIMUM-DISTANCE QUANTIZATION FOR DETECTION.

Research output: Contribution to conference › Paper › peer-review

Abstract

The problem of optimal quantization for detection is approached using signal selection techniques. Criteria are established for the optimal selection of quantizer parameters when Ali-Silvey distances are used as measures of goodness. Results are given for both binary and local (or small-signal) detection and, for the local case, this optimum is shown to be independent of the particular Ali-Silvey distance used. Examples are presented to illustrate these concepts in both the local and general cases.

Original language	English (US)
Pages	925-934
Number of pages	10
State	Published - 1976
Event	Proc Annu Allerton Conf Circuit Syst Theory 14th - Monticello, IL, USA Duration: Sep 29 1976 → Oct 1 1976

Other

Other	Proc Annu Allerton Conf Circuit Syst Theory 14th
City	Monticello, IL, USA
Period	9/29/76 → 10/1/76

All Science Journal Classification (ASJC) codes

General Engineering

Cite this

@conference{65617175af434a478041021d80b9394b,

title = "MAXIMUM-DISTANCE QUANTIZATION FOR DETECTION.",

abstract = "The problem of optimal quantization for detection is approached using signal selection techniques. Criteria are established for the optimal selection of quantizer parameters when Ali-Silvey distances are used as measures of goodness. Results are given for both binary and local (or small-signal) detection and, for the local case, this optimum is shown to be independent of the particular Ali-Silvey distance used. Examples are presented to illustrate these concepts in both the local and general cases.",

author = "Poor, \{H. Vincent\} and Thomas, \{J. B.\}",

year = "1976",

language = "English (US)",

pages = "925--934",

note = "Proc Annu Allerton Conf Circuit Syst Theory 14th ; Conference date: 29-09-1976 Through 01-10-1976",

}

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T1 - MAXIMUM-DISTANCE QUANTIZATION FOR DETECTION.

AU - Poor, H. Vincent

AU - Thomas, J. B.

PY - 1976

Y1 - 1976

N2 - The problem of optimal quantization for detection is approached using signal selection techniques. Criteria are established for the optimal selection of quantizer parameters when Ali-Silvey distances are used as measures of goodness. Results are given for both binary and local (or small-signal) detection and, for the local case, this optimum is shown to be independent of the particular Ali-Silvey distance used. Examples are presented to illustrate these concepts in both the local and general cases.

AB - The problem of optimal quantization for detection is approached using signal selection techniques. Criteria are established for the optimal selection of quantizer parameters when Ali-Silvey distances are used as measures of goodness. Results are given for both binary and local (or small-signal) detection and, for the local case, this optimum is shown to be independent of the particular Ali-Silvey distance used. Examples are presented to illustrate these concepts in both the local and general cases.

UR - https://www.scopus.com/pages/publications/0017207864

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M3 - Paper

AN - SCOPUS:0017207864

SP - 925

EP - 934

T2 - Proc Annu Allerton Conf Circuit Syst Theory 14th

Y2 - 29 September 1976 through 1 October 1976

ER -

MAXIMUM-DISTANCE QUANTIZATION FOR DETECTION.

Abstract

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All Science Journal Classification (ASJC) codes

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