DocumentCode
2994741
Title
Sequentially operating finite memory detectors
Author
Baxa, E.G. ; Nolte, L.W.
Author_Institution
Research Triangle Institute, North Carolina
fYear
1970
fDate
7-9 Dec. 1970
Firstpage
74
Lastpage
74
Abstract
The Bayesian approach in signal detection theory generally yields detectors with memory which contains appropriate statistics used in producing a detection output. This memory summarizes each available observation in terms of precisely representable continuous variables. Precise representation of any real number requires an infinity of digits which in turn means an infinite soft or changeable memory requirement. This presentation provides a procedure for design of sequentially operating finite memory detectors applicable to the open-ended type detection problem. The approach is applied to a general class of problems including the Signal-Known-Exactly (SKE), Signal-Known-Except-Amplitude (SKEA), and the M-ary signaling problems. Results presented compare the detection performance of the finite and optimum infinite memory detector designs using the Receiver Operating Characteristic (ROC).
Keywords
Bayesian methods; Detectors; Equations; Probability density function; Probes; Signal design; Signal detection; Statistics; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Adaptive Processes (9th) Decision and Control, 1970. 1970 IEEE Symposium on
Conference_Location
Austin, TX, USA
Type
conf
DOI
10.1109/SAP.1970.269963
Filename
4044618
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