DocumentCode
417511
Title
Detection performance for discrete test statistics. Application to low-flux imagery
Author
Ferrari, André ; Tourneret, Jean-Yves
Author_Institution
Univ. de Nice-Sophia-Antipolis, Nice, France
Volume
2
fYear
2004
fDate
17-21 May 2004
Abstract
This paper studies a measure of detection performance for testing binary hypotheses by using discrete test statistics. This measure is the area under the receiver operating characteristics. This theory is applied to the detection of changes in low-flux images with the Neyman Pearson detector. An approximation of this measure can be derived. It allows to define a specific signal to noise ratio for the low-flux detector.
Keywords
sensitivity analysis; signal detection; statistical analysis; Neyman Pearson detector; binary hypothesis testing; detection performance; discrete test statistics; low-flux imagery; receiver operating characteristics; signal to noise ratio; Area measurement; Bayesian methods; Decision theory; Detectors; Random variables; Signal processing; Signal to noise ratio; Statistical analysis; Statistical distributions; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-8484-9
Type
conf
DOI
10.1109/ICASSP.2004.1326446
Filename
1326446
Link To Document