An algorithm for blind source separation based on the characteristic function
Zhao Zhijin, Zhu Wei-zhang · 2003
In this paper, blind source separation (BSS) is studied when the dimension of receiving signal is higher than that of source signal, and a new algorithm for blind source separation (BSS) based on the generalized characteristic function is proposed. The accuracy for signal separation is enhanced, and the computational complexity is reduced. The algorithm is derived and computer simulation results are given, which illustrate that the theoretical analysis is correct.