SIGNAL DETECTION BASED ON DISCRETE DATA.

C. C. Lee; J. B. Thomas

SIGNAL DETECTION BASED ON DISCRETE DATA.

C. C. Lee^*, J. B. Thomas

^*Corresponding author for this work

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

1 Scopus citations

Abstract

The input data and their statistical characteristics are transformed into a multinomial vector and a set of multinomial parameters before designing an appropriate detection scheme. The Neyman-Pearson optimal detector and a likelihood ratio detector are derived and analyzed for the case where the multinomial parameters are available under the alternative and for the case where they are not. These detectors are simple, flexible and their performace can be quite good.

Original language	English (US)
Pages	745-754
Number of pages	10
State	Published - 1981
Externally published	Yes
Event	Proc Annu Allerton Conf Commun Control Comput 18th - Monticello, IL, USA Duration: Oct 8 1980 → Oct 11 1980

Conference

Conference	Proc Annu Allerton Conf Commun Control Comput 18th
City	Monticello, IL, USA
Period	10/8/80 → 10/11/80

ASJC Scopus subject areas

Engineering(all)

Cite this

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title = "SIGNAL DETECTION BASED ON DISCRETE DATA.",

abstract = "The input data and their statistical characteristics are transformed into a multinomial vector and a set of multinomial parameters before designing an appropriate detection scheme. The Neyman-Pearson optimal detector and a likelihood ratio detector are derived and analyzed for the case where the multinomial parameters are available under the alternative and for the case where they are not. These detectors are simple, flexible and their performace can be quite good.",

author = "Lee, {C. C.} and Thomas, {J. B.}",

year = "1981",

language = "English (US)",

pages = "745--754",

note = "Proc Annu Allerton Conf Commun Control Comput 18th ; Conference date: 08-10-1980 Through 11-10-1980",

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T1 - SIGNAL DETECTION BASED ON DISCRETE DATA.

AU - Lee, C. C.

AU - Thomas, J. B.

PY - 1981

Y1 - 1981

N2 - The input data and their statistical characteristics are transformed into a multinomial vector and a set of multinomial parameters before designing an appropriate detection scheme. The Neyman-Pearson optimal detector and a likelihood ratio detector are derived and analyzed for the case where the multinomial parameters are available under the alternative and for the case where they are not. These detectors are simple, flexible and their performace can be quite good.

AB - The input data and their statistical characteristics are transformed into a multinomial vector and a set of multinomial parameters before designing an appropriate detection scheme. The Neyman-Pearson optimal detector and a likelihood ratio detector are derived and analyzed for the case where the multinomial parameters are available under the alternative and for the case where they are not. These detectors are simple, flexible and their performace can be quite good.

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M3 - Paper

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T2 - Proc Annu Allerton Conf Commun Control Comput 18th

Y2 - 8 October 1980 through 11 October 1980

ER -

SIGNAL DETECTION BASED ON DISCRETE DATA.

Abstract

Conference

ASJC Scopus subject areas

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