LOCAL DETECTION OF STOCHASTIC SIGNALS IN ADDITIVE NOISE.

H. Vincent Poor; J. B. Thomas

LOCAL DETECTION OF STOCHASTIC SIGNALS IN ADDITIVE NOISE.

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

Abstract

The problem of detecting zero-mean stochastic signals is considered for the local, or small-signal, case. Two general locally-optimum detector structures are derived, one based on an additive-noise model, the other based on a scale-change model. A third (suboptimal) scheme based on null-zone detection is proposed. Expressions are presented for the comparison of these detectors on the basis of asymptotic efficiencies relative to each other and relative to a power detector. Numerical results are given for the particular case of generalized Gaussian noise.

Original language	English (US)
Pages	432-440
Number of pages	9
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

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title = "LOCAL DETECTION OF STOCHASTIC SIGNALS IN ADDITIVE NOISE.",

abstract = "The problem of detecting zero-mean stochastic signals is considered for the local, or small-signal, case. Two general locally-optimum detector structures are derived, one based on an additive-noise model, the other based on a scale-change model. A third (suboptimal) scheme based on null-zone detection is proposed. Expressions are presented for the comparison of these detectors on the basis of asymptotic efficiencies relative to each other and relative to a power detector. Numerical results are given for the particular case of generalized Gaussian noise.",

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

year = "1976",

language = "English (US)",

pages = "432--440",

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

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T1 - LOCAL DETECTION OF STOCHASTIC SIGNALS IN ADDITIVE NOISE.

AU - Poor, H. Vincent

AU - Thomas, J. B.

PY - 1976

Y1 - 1976

N2 - The problem of detecting zero-mean stochastic signals is considered for the local, or small-signal, case. Two general locally-optimum detector structures are derived, one based on an additive-noise model, the other based on a scale-change model. A third (suboptimal) scheme based on null-zone detection is proposed. Expressions are presented for the comparison of these detectors on the basis of asymptotic efficiencies relative to each other and relative to a power detector. Numerical results are given for the particular case of generalized Gaussian noise.

AB - The problem of detecting zero-mean stochastic signals is considered for the local, or small-signal, case. Two general locally-optimum detector structures are derived, one based on an additive-noise model, the other based on a scale-change model. A third (suboptimal) scheme based on null-zone detection is proposed. Expressions are presented for the comparison of these detectors on the basis of asymptotic efficiencies relative to each other and relative to a power detector. Numerical results are given for the particular case of generalized Gaussian noise.

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M3 - Paper

AN - SCOPUS:0017212031

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EP - 440

T2 - Proc Annu Allerton Conf Circuit Syst Theory 14th

Y2 - 29 September 1976 through 1 October 1976

ER -

LOCAL DETECTION OF STOCHASTIC SIGNALS IN ADDITIVE NOISE.

Abstract

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All Science Journal Classification (ASJC) codes

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