Search Kullback Leibler Divergence KLD, 141 result(s) found

Structured covariance estimation. The routine takes a covariance matrix as input...

Structured covariance estimation. The routine takes a covariance matrix as input and returns the Toeplitz matrix that lies closest to it, in the sense that it minimizes the Kullback-Leibler Divergence between the two. Input must be a real, square, symmetric and positive semi-definite matrix....

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 g...

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