Title :
Blind separation of two signals by estimation of two fourth-order cumulants
Author_Institution :
Fac. of Electr. Eng. & Comput., Zagreb Univ., Croatia
Abstract :
The problem is to recover stochastic signals from an unknown stationary linear mixture. The paper presents an analytical solution for blind separation of two statistically independent signals. It requires two fourth-order input sample cumulants to be estimated, contrary to the solution given in references that requires estimation of three fourth-order input sample cross-cumulants. When real-time separation problem is considered this difference can be significant.
Keywords :
higher order statistics; signal resolution; stochastic processes; blind separation; fourth-order cumulants; input sample cumulants; real-time separation problem; statistically independent signals; stochastic signals; unknown stationary linear mixture; Blind source separation; Higher order statistics; Information processing; Laboratories; Linearity; Neural networks; Sensor arrays; Signal analysis; Statistical distributions; Stochastic systems;
Conference_Titel :
Circuits and Systems, 1997. Proceedings of the 40th Midwest Symposium on
Print_ISBN :
0-7803-3694-1
DOI :
10.1109/MWSCAS.1997.662240
