ROBUST DETECTION OF KNOWN SIGNALS IN ASYMMETRIC NOISE.

Saleem A. Kassam; George Moustakides; Jung Gil Shin

ROBUST DETECTION OF KNOWN SIGNALS IN ASYMMETRIC NOISE.

Saleem A. Kassam, George Moustakides, Jung Gil Shin

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

Abstract

The detection of signals in noise with possibly asymmetric probability density functions is considered. The noise density model allows a symmetric contaminated-nominal central part and an arbitrary tail behavior. For detection of known signals the robust likelihood-ratio (LR)-type detector is obtained, based on detector efficacy as performance criterion. The robust M-detector structure for constant-signal detection is also explicity obtained.

Original language	English (US)
Pages	774-783
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

All Science Journal Classification (ASJC) codes

Engineering(all)

Cite this

@conference{6aa8baa22ed24cf5a98359b6581c585d,

title = "ROBUST DETECTION OF KNOWN SIGNALS IN ASYMMETRIC NOISE.",

abstract = "The detection of signals in noise with possibly asymmetric probability density functions is considered. The noise density model allows a symmetric contaminated-nominal central part and an arbitrary tail behavior. For detection of known signals the robust likelihood-ratio (LR)-type detector is obtained, based on detector efficacy as performance criterion. The robust M-detector structure for constant-signal detection is also explicity obtained.",

author = "Kassam, {Saleem A.} and George Moustakides and Shin, {Jung Gil}",

year = "1981",

language = "English (US)",

pages = "774--783",

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

}

TY - CONF

T1 - ROBUST DETECTION OF KNOWN SIGNALS IN ASYMMETRIC NOISE.

AU - Kassam, Saleem A.

AU - Moustakides, George

AU - Shin, Jung Gil

PY - 1981

Y1 - 1981

N2 - The detection of signals in noise with possibly asymmetric probability density functions is considered. The noise density model allows a symmetric contaminated-nominal central part and an arbitrary tail behavior. For detection of known signals the robust likelihood-ratio (LR)-type detector is obtained, based on detector efficacy as performance criterion. The robust M-detector structure for constant-signal detection is also explicity obtained.

AB - The detection of signals in noise with possibly asymmetric probability density functions is considered. The noise density model allows a symmetric contaminated-nominal central part and an arbitrary tail behavior. For detection of known signals the robust likelihood-ratio (LR)-type detector is obtained, based on detector efficacy as performance criterion. The robust M-detector structure for constant-signal detection is also explicity obtained.

UR - http://www.scopus.com/inward/record.url?scp=0019339473&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0019339473&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:0019339473

SP - 774

EP - 783

T2 - Proc Annu Allerton Conf Commun Control Comput 18th

Y2 - 8 October 1980 through 11 October 1980

ER -

ROBUST DETECTION OF KNOWN SIGNALS IN ASYMMETRIC NOISE.

Abstract

Conference

All Science Journal Classification (ASJC) codes

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