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《Journal of Data Acquisition & Processing》 2001-01
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Complex Alternating Projection Neural Networks

Wang Jingen Lin Chunsheng Gong Shenguang Department of Weapon Engineering,Naval University of Engineering Wuhan 430033,P.R.China  
After studying alternating projection neural networks proposed by MarksⅡ etc.. This paper extends it from the field of real unmbers to the field of complex numbers, gives its convergent condition and the convergence proof of APNN. Then several useful conclusions are obtained by studying alternation projection neural networks operating in the field of complex numbers (the extended network is called complex alternating projection neural networks), and the strict mathematical proofs are provided for these conclusions. Finally, a simulational experiment is designed to validate the theoretical analysis, the experimental results demonstrate a reasonably good agreement between theory and experiment. In practice complex alternating projection neural networks can be widely applied to signal processing, such as band-limited signal extrapolation, frequency selector and trap filter.
【CateGory Index】: TP183
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【References】
Chinese Journal Full-text Database 2 Hits
1 Wang Jingen Gong Shenguang Lin Chunsheng Tang Jinfei Liu Shengdao Department of Weaponry Engineering,Naval University of Engineering Wuhan 430033,P.R.China;Notch Filter Based on Complex Alternating Projection Neural Networks[J];Journal of Data Acquisition & Processing;2001-04
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【Co-citations】
Chinese Journal Full-text Database 10 Hits
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8 WANG Jin-gen, GONG Shen-guang, CHEN Shi-fu ( State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu 210093, China; Naval University of Engineering, Wuhan, Hubei 430033, China);Sufficient and Necessary Condition of the Extended Alternating Projection Neural Network Configured as a Content Addressable Memory[J];Acta Electronica Sinica;2004-04
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