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
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;
Journal_Title :
Electronics Letters
DOI :
10.1049/el.2009.1274
