A quantized chaotic spiking neuron and CDMA coding

R. Furumachi, H. Torikai, T. Saito
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Abstract

Applying a higher frequency input to a chaotic spiking neuron, the state is quantized and the chaotic pulse-train is changed into various co-existing super-stable periodic pulse-trains (SSPTs). Using a quantized pulse-position map, the number of the SSPTs and their periods are clarified theoretically. Multiplex correlation characteristics for some set of the SSPTs is also clarified for application to CDMA communication systems.
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一种量化混沌尖峰神经元与CDMA编码
在混沌脉冲神经元中加入更高频率的输入,将混沌脉冲序列进行状态量化,将混沌脉冲序列转化为多个共存的超稳定周期脉冲序列(SSPTs)。利用量子化的脉冲位置图,从理论上阐明了sspt的数目及其周期。为了在CDMA通信系统中应用,阐明了部分sspt的多路相关特性。
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