Title :
Modelling signals of arbitrary kurtosis for testing BSS methods
Author :
Zarzoso, V. ; Nandi, A.K.
Author_Institution :
Dept. of Electron. & Electr. Eng., Strathclyde Univ., Glasgow, UK
fDate :
1/8/1998 12:00:00 AM
Abstract :
It is shown how a very simple distribution, the Bernoulli random variable, exhibits all possible normalised kurtosis values when varying the probability of its two events. This result means that signals of any normalised kurtosis may be modelled by this distribution, which is of relevance within the framework of blind source separation based on fourth-order cumulants
Keywords :
higher order statistics; probability; signal restoration; Bernoulli random variable; arbitrary kurtosis signals; blind source separation; fourth-order cumulants; probability; signal modelling;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19980050
