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Robust Wiener Filters for Correlated Signals and Noise

机译:用于相关信号和噪声的鲁棒维纳滤波器

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In this report, the Wiener filtering problem, when the cross spectral density matrix of the signal and noise is not exactly known is considered the filters which are saddle point solutions for the criterion of performance (mean square error, MSE) over the classes of allowable density matrices are obtained. Solutions for various classes are also given.

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