Principal Independent Component Analysis with Multi-Reference
نویسندگان
چکیده
Conventional Blind Signal Separation algorithms do not adopt any asymmetric information of the input sources, thus the convergence point of a single output is always unpredictable. In this paper, a new Principal Independent Component Analysis concept is proposed, we try to extract the objective Independent Component directly without separating all the signals. A cumulant-based globally convergent algorithm is presented and the simulation results show a hopeful prospect of the Principal Independent Component Analysis in applications.
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