DocumentCode
2600919
Title
Detection and estimation of multiplicative jumps
Author
TOURNERET, Jean- Yues ; Chabert, Marie ; Ghogho, Mounir
Author_Institution
ENSEEIHT/GASPE, Toulouse, France
fYear
1996
fDate
24-26 Jun 1996
Firstpage
20
Lastpage
23
Abstract
Multiplicative jumps have been considered in many applications. These applications include speckle signal in radar images, mechanical vibrations, non-linear time series and random communication models. The problem addressed here is the detection of multiplicative jumps using the Neyman-Pearson test. This test constitutes a reference to which suboptimal detectors can be compared. In practical applications, the parameters of the noise and of the jump have to be estimated. The maximum likelihood estimator and the Cramer Rao bound for these parameters are then studied
Keywords
maximum likelihood estimation; noise; parameter estimation; radar imaging; random processes; signal detection; speckle; time series; vibrations; Cramer Rao bound; Neyman-Pearson test; maximum likelihood estimator; mechanical vibrations; multiplicative jump detector; multiplicative jump estimation; noise parameters; nonlinear time series; radar images; random communication models; speckle signal; suboptimal detectors; Cramer-Rao bounds; Detectors; Maximum likelihood detection; Maximum likelihood estimation; Radar applications; Radar detection; Radar imaging; Speckle; Testing; Vibrations;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal and Array Processing, 1996. Proceedings., 8th IEEE Signal Processing Workshop on (Cat. No.96TB10004
Conference_Location
Corfu
Print_ISBN
0-8186-7576-4
Type
conf
DOI
10.1109/SSAP.1996.534810
Filename
534810
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