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- W2120381762 abstract "Medley filters are defined as convex combinations of elementary smoothing filters (averaging, median) with different smoothing bandwidths. It is shown that when adaptive weights of such a mixture are evaluated using the recently proposed Bayesian rules, one obtains a tool which often outperforms the state-of-the-art wavelet-based smoothing algorithms. Additionally, unlike wavelet-based procedures, medley filters can easily cope with non-Gaussian (Laplacian, uniform) and temporarily inhomogeneous measurement noise." @default.
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- W2120381762 date "2010-08-01" @default.
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- W2120381762 title "Medley filters — Simple tools for efficient signal smoothing" @default.
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