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- W171680974 abstract "A blind criterion for adaptive equalization based on proba- bility density function (pdf) estimation is proposed. The criterion measures the divergence of the pdf of an ideally equalized signal against the one from a parametric model resulting in a cost function that is a sort of entropy min- imization of the equalizer output signal. It is also shown a link between the constant modulus (CM) criterion and the proposed one under certain cir- cumstances. Some convergence properties are studied and the performance of the proposal is evaluated through simulations faced to a classical blind criterion." @default.
- W171680974 created "2016-06-24" @default.
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- W171680974 date "2002-01-01" @default.
- W171680974 modified "2023-09-26" @default.
- W171680974 title "A PDF Estimation-Based Blind Criterion for Adaptive Equalization" @default.
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- W171680974 doi "https://doi.org/10.14209/its.2002.371" @default.
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