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
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