DocumentCode :
1910698
Title :
Log-normal approximation of chi-square distributions for signal processing
Author :
Jouini, Wassim ; Le Guennec, Daniel ; Moy, Christophe ; Palicot, Jacques
Author_Institution :
SCEE/IETR, SUPELEC, Cesson-Sévigné, France
fYear :
2011
fDate :
13-20 Aug. 2011
Firstpage :
1
Lastpage :
4
Abstract :
We investigate in this paper a Log-Normal approximation of X2 distributions. Our study is motivated by the analysis of ratios of random variables where both, Log-Normal and X2 distributions are involved. Such ratios appear, for instance, when dealing with an energy detector while only an imperfect knowledge of the noise level is available. In order to characterize the distribution of the ratio, an accurate approximation of the X2 distribution by a Log-Normal distribution would highly simplify this problem known to be analytically intractable otherwise.
Keywords :
approximation theory; log normal distribution; signal processing; Chi-square distribution; X2 distribution; energy detector; log normal approximation; signal processing; Approximation methods; Detectors; Log-normal distribution; Mathematical model; Noise; Polynomials;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
General Assembly and Scientific Symposium, 2011 XXXth URSI
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-5117-3
Type :
conf
DOI :
10.1109/URSIGASS.2011.6050531
Filename :
6050531
Link To Document :
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