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Design of Oscillator Networks for Generating Signal with Prescribed Statistical Property

机译:规定统计特性产生信号的振荡网设计

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We design oscillator networks to generate a signal with a prescribed power spectrum. We consider networks of identical sin-wave oscillators and the Kuramoto order parameter as an output signal of the system. We use the Kullback-Leibler entropy as a measure of the distance between the power spectrum of the output signal and those of desired one. By optimizing the connection network through the Markov chain Monte Carlo method with replica exchange, we found that even oscillator network with a small number of elements can be generate a variety of time signals. The output signals include periodic and quasi-periodic signals with prescribed periods, and aperiodic signals with prescribed power spectrums.
机译:我们设计振荡器网络以产生具有规定功率谱的信号。我们认为相同的SIN波振荡器和Kuramoto订单参数的网络作为系统的输出信号。我们使用kullback-leibler熵作为输出信号的功率谱之间的距离和所需的距离。通过使用副本交换的马尔可夫链Monte Carlo方法优化连接网络,我们发现即使是具有少量元素的振荡器网络也可以产生各种时间信号。输出信号包括具有规定周期的周期性和准周期性信号,以及具有规定功率谱的非周期性信号。

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