BicAn: An integrated, open-source framework for polyspectral analysis

doi:10.1016/j.cpc.2026.110097

2026-02-26

PRE

Greg A. Riggs *

M. E. Koepke

Tyler Matheny

DOI：10.1016/j.cpc.2026.110097

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摘要

En 中文

我们介绍了一个用于时间序列数据高阶谱分析的Python新型平台。此类分析的原理、用途和应用被总结。给出了对测试信号的相干性（n=2）、双相干性（n=3）和三相干性（n=4）谱的直接估计；高阶（n>4）谱在多频空间中的单点处推断。考虑了非平稳过程的误差量化，并给出了其在非线性动力学研究中的应用。

Keyword:

polyspectral analysis

higher-order spectra

bicoherence

tricoherence

nonlinear dynamics

期刊

Computer Physics Communications

IF:

3.4

论文数:

1.2W

被引数:

3.7W

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暂无机构信息

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