Abstract
Maximum entropy method for estimating power spectral density of time series has been generalized to incorporate the multichannel, complex, and nonstationary characteristics. A relation between the prediction-error-filter and the output has been derived and the prediction-error-filter are obtained by designing Wiener filter for multichannel nonstationary complex valued data. The computational procedure for a two point long prediction-error-filter has been described as an example.
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