On preprocessing for mismatched classification of Gaussian signals
نویسندگان
چکیده
The optimal linear preprocessor for classifying two zero-mean Gaussian discrete-time signals which have been corrupted by additive zero-mean Gaussian noise is studied. Conditions for existence of the optimal linear preprocessor that achieves the performance of the likelihood ratio test for the noisy signals are given and the preprocessor is explicitly derived.
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عنوان ژورنال:
- IEEE Trans. Information Theory
دوره 47 شماره
صفحات -
تاریخ انتشار 2001