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Abstract: Adaptive filtering has been extensively studied under the assumption that the noise is Gaussian. The most commonly used least-mean-square-error (LMSE ...

Abstract: The stochastic gradient (SG) based non-parametric maximum likelihood (NPML) adaptive algorithm gives better channel estimation as compared to least squares in the presence of additive ...

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A from-scratch implementation of a Categorical Naive Bayes classifier in pure Python, following a scikit-learn–style API. This package supports Laplace–smoothed estimation of class priors and ...