Liu Yang, Li Yu-shan. The Moving Object Detection Based on 2D Spatio-temporal Entropic Thresholding[J]. Journal of Electronics & Information Technology, 2005, 27(1): 39-42.
Citation:
Zhang Xu-xiu, Qiu Tian-shuang . The Study on the Principle of Kurtosis Based ICA Method[J]. Journal of Electronics & Information Technology, 2005, 27(2): 206-209.
Liu Yang, Li Yu-shan. The Moving Object Detection Based on 2D Spatio-temporal Entropic Thresholding[J]. Journal of Electronics & Information Technology, 2005, 27(1): 39-42.
Citation:
Zhang Xu-xiu, Qiu Tian-shuang . The Study on the Principle of Kurtosis Based ICA Method[J]. Journal of Electronics & Information Technology, 2005, 27(2): 206-209.
The kurtosis based ICA approach is analyzed particularly and the geometrical explanation of this approach is presented in the paper. Furthermore, we elucidate the reasons of the indeterminacy of ICA solutions and explain the probability property by analyzing the process for finding out the ICA solutions. These analytic results and conclusions are also benefit to the study on other ICA methods.
Hyvariene A, Oja E. Fast and robust fixed-point algorithms for independent component analysis[J].IEEE Trans. on Neural Networks.1999, 10(3):626-[2]Hyvariene A.[J].Karhunen J, Oja E. Independent Component Analysis [M]. New York: John Wiley Sons Inc.2001,:-[3]Hyvarinen A. Survey on independent component analysis[J].Neural Computing Surveys, 1999, 2:94 - 128.[4]Comon P. Independent component analysis: A new concept?[J].Signal Processing, 1994, 34(4): 287 - 314.
Liu Yang, Li Yu-shan. The Moving Object Detection Based on 2D Spatio-temporal Entropic Thresholding[J]. Journal of Electronics & Information Technology, 2005, 27(1): 39-42.
Liu Yang, Li Yu-shan. The Moving Object Detection Based on 2D Spatio-temporal Entropic Thresholding[J]. Journal of Electronics & Information Technology, 2005, 27(1): 39-42.
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