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Nonlinear Shift Register Synthesis Based on Binary Neural Network

MA Xiao-min;YANG Yi-xian;ZHANG Zhao-zhi; (1. Information Security Center,Beijing University of Posts & Telecommunications Beijing 100876;2.Institute of Systems Science Academia,Beijing 100080 China)  
A subtle synthesis algorithm for nonlinear shift register by using characteristics of the binary neural network and its learning algorithm and mapping to Boolean function is developed.The algorithm can obtain both nonlinear complexity of the given sequence and feedback Boolean function of the shift register. Furthermore it is simple,reliable and has small burden of stoop and computation.
【Fund】: 国家自然科学基金!(No.69772035,69882002);国家“863”项目资助课题
【CateGory Index】: TP332.11
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