DocumentCode :
3362795
Title :
M-ary detection of signals with unknown scales, times of arrival and amplitudes, new Bayesian approaches based on multiresolution
Author :
Duvaut, Patrick ; Tira, Zyed ; Brunel, Pierre ; Georgel, Bruno
Author_Institution :
ETIS-ENSEA, Cergy-Pontoise, France
fYear :
1994
fDate :
25-28 Oct 1994
Firstpage :
221
Lastpage :
224
Abstract :
The joint detection-estimation of signals with unknown scales, time of arrival and amplitude based on both Bayesian ideas and multiresolution is addressed. Two methods are introduced and applied to nuclear plant monitoring. The first approach elaborates generalized likelihood ratios (GLRs) and thus allows the reconstruction of the signals. The second procedure takes place after having processed a new oblique multiresolution (OMR) and is eventually an alternative to the GLRs when knowledge of the signals is reduced. The results obtained by both methods are promising
Keywords :
Bayes methods; alternators; computerised monitoring; estimation theory; fission reactor instrumentation; fission reactor safety; nuclear engineering computing; nuclear power stations; signal detection; signal reconstruction; signal resolution; Bayesian approaches; M-ary detection; amplitudes; generalized likelihood ratios; joint detection-estimation; multiresolution; nuclear plant monitoring; oblique multiresolution; reconstruction; times of arrival; unknown scales; Automation; Bayesian methods; Condition monitoring; Gaussian noise; Humans; Shape; Signal detection; Signal processing; Signal resolution; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Time-Frequency and Time-Scale Analysis, 1994., Proceedings of the IEEE-SP International Symposium on
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-2127-8
Type :
conf
DOI :
10.1109/TFSA.1994.467253
Filename :
467253
Link To Document :
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