Source separation using higher order statistics

Details Source separation using higher order statistics Source separation using higher order statistics

Oct 1992

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1992jatp...54.1217l&link_type=abstract

(Wave and turbulence analysis techniques; URSI General Assembly, 23rd, Prague, Czechoslovakia, Aug. 1990, Selected Papers. A92-5

Mathematics

Probability

Algorithms, Maximum Likelihood Estimates, Signal Processing, Statistical Analysis, Fourier Transformation, Probability Density Functions, Random Signals, Transfer Functions

Scientific paper

A number of source separation algorithms are developed utilizing the second-order statistics of the observed data and a priori knowledge of the model. A maximum-likelihood solution based on the second-order (and higher) statistics of the data is given. It is shown that the non-Gaussian case can be solved using the second- and the fourth-order statistics of the observed signals.

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