doi: 10.7763/IJCTE.2010.V2.195
Gaussianization for Interference Background
Wang Pingbo1
,
Tang Suofu2 ,
Wei Hongkai1 ,
Cai Zhiming1
- 1Underwater Acoustic Laboratory, Naval University of Engineering, Wuhan, China.
- 2Sonar Equipments Workshop, Naval 702 Maintenance and Repairs Factory, Shanghai, China.
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, two typical gaussianizing filters are proposed and studied. One is so-called U-filter, based on the probability density function and its derivate. The other is so-called G-filter, based on the cumulative distribution function and its inverse. Instances with lake trial data are illustrated. Finally, two applications, one in spectrum estimation and the other in Raotest, are discussed.
Keywords
- Gaussianization;
- Gaussian
- mixture;
- Non-Gaussian
- detection
How to Cite
Wang Pingbo, Tang Suofu, Wei Hongkai, and Cai Zhiming, "Gaussianization for Interference Background," International Journal of Computer Theory and Engineering, vol. 2, no. 4, pp. 517-522, 2010. https://doi.org/10.7763/IJCTE.2010.V2.195
Copyright & License
Copyright © 2010 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).