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自动谱分析:可用于丢失/采样/子束光谱分析;矢量自动迭代,可用于建模,故障诊断;...

于 2022-03-04 发布 文件大小:294.87 kB
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自动谱分析:可用于丢失/采样/子束光谱分析;矢量自动迭代,可用于建模,故障诊断;-The applications of this additional toolbox are: - Automatic spectral analysis for Irregular sampling/Missing data, analysis of spectral subbands, - Vector Autoregressive modeling and Detection [uses ARMASA] - Reduced statistics ARMAsel: A compact yet accurate ARMA model is obtained based on a given power spectrum. Can be used for generation of colored noise with a prescribed spectrum. - ARfil algorithm: The analysis of missing data/irregularly sampled signals - Subband analysis: Accurate analysis of a part of the power spectrum - Detection: Generally applicable test statistic to determine whether two signals have been generated by the same process or not. Based on the Kullback-Leibler index or Likelihood Ratio. - Analysis of segments of data, possibly of unequal length.

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