DocumentCode :
1497909
Title :
Flexible estimation of probability and cumulative density functions
Author :
Scarpiniti, Michele ; Parisi, Raffaele ; Uncini, Aurelio
Author_Institution :
INFOCOM Dept., Sapienza Univ. of Rome, Rome, Italy
Volume :
45
Issue :
21
fYear :
2009
Firstpage :
1095
Lastpage :
1096
Abstract :
A novel, simple and effective algorithm for the estimation of the probability density function and cumulative density function is presented. The algorithm is based on an information maximisation approach. The nonlinear function involved in the algorithm is adaptively modified during learning and is implemented by using a spline function.
Keywords :
blind source separation; deconvolution; nonlinear functions; splines (mathematics); cumulative density functions; flexible estimation; information maximisation approach; nonlinear function; probability density functions; spline function;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el.2009.1274
Filename :
5284470
Link To Document :
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