Letters: Using batch algorithm for kernel blind source separation

Authors:
Zhan-Li Sun;De-Shuang Huang;Chun-Hou Zheng;Li Shang
Affiliations:
Intelligent Computing Lab, Hefei Institute of Intelligent Machines, Chinese Academy of Sciences, PO Box 1130, Hefei, Anhui 230031, China and Department of Automation, University of Science and Tec ...;Intelligent Computing Lab, Hefei Institute of Intelligent Machines, Chinese Academy of Sciences, PO Box 1130, Hefei, Anhui 230031, China;Intelligent Computing Lab, Hefei Institute of Intelligent Machines, Chinese Academy of Sciences, PO Box 1130, Hefei, Anhui 230031, China and Department of Automation, University of Science and Tec ...;Intelligent Computing Lab, Hefei Institute of Intelligent Machines, Chinese Academy of Sciences, PO Box 1130, Hefei, Anhui 230031, China and Department of Automation, University of Science and Tec ...
Venue:
Neurocomputing
Year:
2005

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Abstract

By combining the batch algorithm with the kernel trick, an improved kernel blind source separation (IKBSS) is presented. The IKBSS has not only a better performance but also a less computational complexity compared to the original kernel blind source separation (KBSS).