PEARSON SYSTEM BASED METHOD FOR BLIND SEPARATION
Juha Karvanen , Jan Eriksson , and Visa Koivunen
fjuha.karvanen, jan.eriksson, visa.koivuneng@hut.
In this paper a new approach for Blind Source Sep-
aration (BSS) is introduced. The Pearson system is
employed for modeling source distributions. The ma-
jor bene t of the Pearson system is that it also takes
into account the skewness of the distributions. We
brie
y review the Pearson system and study how its
parameters may be estimated. A BSS method combin-
ing Pearson system based on the maximum likelihood
approach and xed contrast functions is presented and
algorithms for its maximization are proposed. The sim-
ulation examples illustrate that the proposed method
reliably separates the sources in situations where some
widely used BSS methods may perform poorly.