DocumentCode
2948785
Title
U-filter´s gaussianization function for interference background
Author
Pingbo, Wang ; Feng, Liu
Author_Institution
Underwater Acoust. Lab., Naval Univ. of Eng., Wuhan, China
fYear
2009
fDate
13-15 Nov. 2009
Firstpage
1
Lastpage
4
Abstract
By weakening the bigger and strengthening the smaller, Gaussianization can enhance the Gaussianity of samples and improve performance of subsequent correlation test. Firstly, an explicit definition on Gaussianizing filter and a practical method to evaluate the filtering performance are given. Secondly, based on the probability density function and its derivate, one typical Gaussianizing filters, so-called U-filter, are proposed and studied. Instances with lake trial data are illustrated. Finally, two applications, one in spectrum estimation and the other in Rao test, are discussed.
Keywords
correlation methods; filtering theory; interference (signal); probability; Gaussianizing filter; Rao test; U-filter Gaussianization function; correlation test; filtering performance; interference background; probability density function; spectrum estimation; Detectors; Digital filters; Filtering; Gaussian processes; Interference; Matched filters; Probability density function; Signal detection; Spectral analysis; Testing; Gaussian mixture; Gaussianization; non-Gaussian detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications & Signal Processing, 2009. WCSP 2009. International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4856-2
Electronic_ISBN
978-1-4244-5668-0
Type
conf
DOI
10.1109/WCSP.2009.5371444
Filename
5371444
Link To Document