Generation of noise time series with arbitrary power spectrum

Carrettoni M.; Cremonesi O.

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Generation of noise time series with arbitrary power spectrum

机译：产生具有任意功率谱的噪声时间序列

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Noise simulation is a very powerful tool in signal analysis helping to foresee the system performance in real experimental situations. Time series generation is however a hard challenge when a robust model of the noise sources is missing. We present here a simple computational technique which allows the generation of noise samples of fixed length, given a desired power spectrum. A few applications of the method are also discussed.

机译：噪声仿真是信号分析中非常强大的工具，有助于预测真实实验情况下的系统性能。但是，当缺少可靠的噪声源模型时，时间序列生成是一个艰巨的挑战。我们在这里介绍一种简单的计算技术，该技术可以在给定所需功率谱的情况下生成固定长度的噪声样本。还讨论了该方法的一些应用。

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《Computer physics communications》 |2010年第12期|共4页
作者
Carrettoni M.; Cremonesi O.;
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正文语种 eng
中图分类计算机的应用;
关键词
Apparatus design; Detector control and data acquisition; Detector design and simulation;

机译：仪器设计;检测器控制和数据采集;检测器设计和仿真;

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专利

1. Generation of noise time series with arbitrary power spectrum [J] . Carrettoni M., Cremonesi O. Computer physics communications . 2010,第12期

机译：产生具有任意功率谱的噪声时间序列
2. Generation of a time series having a specified power spectrum with minimum roundoff noise [J] . Inouye Y. IEEE Transactions on Acoustics, Speech, and Signal Processing . 1989,第4期

机译：具有指定功率谱且舍入噪声最小的时间序列的生成
3. Power Spectrum Computation for an Arbitrary Phase Noise Using Middleton’s Convolution Series: Implementation Guideline and Experimental Illustration [J] . Pierre Brochard, Thomas Südmeyer, Stéphane Schilt IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control . 2017,第11期

机译：利用Middleton卷积级数对任意相位噪声进行功率谱计算：实施指南和实验插图
4. Estimating Red Noise Spectrum of Time Series Using Bayesian Inference [C] . Lan YU, Yao MENG, Song FENG Chinese Control Conference . 2020

机译：使用贝叶斯推断估计时间序列的红色噪声谱
5. Transient simulation of power-supply noise in irregular on-chip power distribution networks using latency insertion method, and causal transient simulation of interconnects characterized by band -limited data and terminated by arbitrary terminations. [D] . Lalgudi, Subramanian N. 2008

机译：使用等待时间插入方法对不规则芯片上配电网络中的电源噪声进行瞬态仿真，并对以频带有限的数据为特征并由任意端接终止的互连进行因果瞬态仿真。
6. Power spectrum scale invariance quantifies limbic dysregulation in trait anxious adults using fMRI: adapting methods optimized for characterizing autonomic dysregulation to neural dynamic timeseries. [O] . Denis Tolkunov, Denis Rubin, LR Mujica-Parodi -1

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7. Generation of Noise Time Series with arbitrary Power Spectrum [O] . Carrettoni, M., Cremonesi, O. 2010

机译：任意功率谱产生噪声时间序列

Generation of noise time series with arbitrary power spectrum

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