Fast communication: An optimized EASI algorithm

Authors:
Jimin Ye;Haihong Jin;Shuntian Lou;Kejun You
Affiliations:
School of Science, Xidian University, Xi'an 710071, China;School of Science, Xi'anshiyou University, Xi'an 710065, China;School of Electronic Engineering, Xidian University, Xi'an 710071, China;School of Science, Xidian University, Xi'an 710071, China
Venue:
Signal Processing
Year:
2009

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Abstract

This paper addresses the problem of blind source separation and presents a kind of optimized equivariant adaptive separation via independence (EASI) algorithms. According to the cumulant based approximation to the mutual information contrast function, the EASI learning rule is optimized by multiplying the symmetric part with an optimal time variant weight coefficient. Simulation results show the proposed optimized EASI algorithms outperform the existing algorithms in convergent speed and steady-state accuracy.