Blind Source Separation based on Whale Optimization Algorithm

CHU Ding-li; CHEN Hong; CHEN Han-yi

doi:10.1051/matecconf/201817303052

All issues

Volume 173 (2018)

MATEC Web Conf., 173 (2018) 03052

References

Open Access

Issue		MATEC Web Conf. Volume 173, 2018 2018 International Conference on Smart Materials, Intelligent Manufacturing and Automation (SMIMA 2018)


Article Number		03052
Number of page(s)		5
Section		Digital Signal and Image Processing
DOI		https://doi.org/10.1051/matecconf/201817303052
Published online		19 June 2018

MAO Xin, XU Kai, LIU Jie. Present Situation and Development of Blind Signal Separation Technology[J]. Communications Technology. 2013(8):24-26. [Google Scholar]
Gao Y, Liu H L. An improved particle swarm optimizer and its application in blind signals separation[J]. Journal of Guangzhou University, 2011. [Google Scholar]
Lee T W. Girolami M, Sejnowski T J. Independent component analysis using an extended infomax algorithm for mixed subgaussian and supergaussian sources[J]. Neural Computation, 1999,11(2):417. [CrossRef] [Google Scholar]
Amari S. Natural Gradient Works Efficiently in Leaming[J], Neural Computation, 2014. 10(2):251-276. [CrossRef] [Google Scholar]
Hyv&xE, Rinen A. Fast and robust fixed-point algorithms for independent component analysis[J]. IEEE Transactions on Neural Networks, 1999, 10(3):626. [CrossRef] [Google Scholar]
Cichocki A, Amari S L Cao J. Neural Network Models for Blind Separation of Time Delayed and Convolved Signals[J], Ieice Transactions on Fundamentals of Electronics Communications & Computer Sciences, 1997, 80(9): 1595-1603. [Google Scholar]
LIU Hui. LI Bai. Application of Particle Swarm Algorithm in Blind Source Separation[J]. Modern Electronics Technique, 2010. 33(17):94-96. [Google Scholar]
Mirjalili S, Lewis A. The Whale Optimization Algorithm[J]. Advances in Engineering Software, 2016, 95:51-67. [CrossRef] [Google Scholar]
ZHENG Hui. Theory and Technology on Blind Signal Processing of Communication. National Defense Industry Press, 2013. [Google Scholar]
ZHANG Wen-ai. LIU Jun-hao. Blind Source Separation Based on Particle Swarm Optimization[J]. Journal of Taiyuan University of Technology 2006, 37(2): 169-172. [Google Scholar]
MA Jian-cang, NIU Yi-long, CHEN Hai-yang. Blind Signal Processing[M], National Defense Industry Press, 2006. [Google Scholar]
WANG Meng, ZHANG Wen-ai. BSS Algorithm Based on APSO Application in Image Processing[J], Video Engineering,2014,38 (19):32-35. [Google Scholar]
LIU Jun-hao. Research on Blind Source Separaton Based on Panicle Swarm Optimization and Fish Swarm Algorithm[D]. Taiyuan University of Technology-, 2006. [Google Scholar]
LU Gang, TAN De-jian. Improved on regulating definition of antibody density of immune algorithm[C]. Proceedings of the 9th international conference on neural information processing(ICONIP ’02),2002,5:2669-2672. [CrossRef] [Google Scholar]

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[1] MAO Xin, XU Kai, LIU Jie. Present Situation and Development of Blind Signal Separation Technology[J]. Communications Technology. 2013(8):24-26. [Google Scholar]

[2] Gao Y, Liu H L. An improved particle swarm optimizer and its application in blind signals separation[J]. Journal of Guangzhou University, 2011. [Google Scholar]

[3] Lee T W. Girolami M, Sejnowski T J. Independent component analysis using an extended infomax algorithm for mixed subgaussian and supergaussian sources[J]. Neural Computation, 1999,11(2):417. [CrossRef] [Google Scholar]

[4] Amari S. Natural Gradient Works Efficiently in Leaming[J], Neural Computation, 2014. 10(2):251-276. [CrossRef] [Google Scholar]

[5] Hyv&xE, Rinen A. Fast and robust fixed-point algorithms for independent component analysis[J]. IEEE Transactions on Neural Networks, 1999, 10(3):626. [CrossRef] [Google Scholar]

[6] Cichocki A, Amari S L Cao J. Neural Network Models for Blind Separation of Time Delayed and Convolved Signals[J], Ieice Transactions on Fundamentals of Electronics Communications & Computer Sciences, 1997, 80(9): 1595-1603. [Google Scholar]

[7] LIU Hui. LI Bai. Application of Particle Swarm Algorithm in Blind Source Separation[J]. Modern Electronics Technique, 2010. 33(17):94-96. [Google Scholar]

[8] Mirjalili S, Lewis A. The Whale Optimization Algorithm[J]. Advances in Engineering Software, 2016, 95:51-67. [CrossRef] [Google Scholar]

[9] ZHENG Hui. Theory and Technology on Blind Signal Processing of Communication. National Defense Industry Press, 2013. [Google Scholar]

[10] ZHANG Wen-ai. LIU Jun-hao. Blind Source Separation Based on Particle Swarm Optimization[J]. Journal of Taiyuan University of Technology 2006, 37(2): 169-172. [Google Scholar]

[11] MA Jian-cang, NIU Yi-long, CHEN Hai-yang. Blind Signal Processing[M], National Defense Industry Press, 2006. [Google Scholar]

[12] WANG Meng, ZHANG Wen-ai. BSS Algorithm Based on APSO Application in Image Processing[J], Video Engineering,2014,38 (19):32-35. [Google Scholar]

[13] LIU Jun-hao. Research on Blind Source Separaton Based on Panicle Swarm Optimization and Fish Swarm Algorithm[D]. Taiyuan University of Technology-, 2006. [Google Scholar]

[14] LU Gang, TAN De-jian. Improved on regulating definition of antibody density of immune algorithm[C]. Proceedings of the 9th international conference on neural information processing(ICONIP ’02),2002,5:2669-2672. [CrossRef] [Google Scholar]