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- W2022238094 abstract "This paper proposes an optimization-based method to design orthonormal wavelet filters with improved frequency separation. The proposed approach adopts a parameterization of orthogonal filter banks which ensures that the resulting wavelets have at least two vanishing moments. The filter parameters are adjusted by a numerical optimization algorithm in order to minimize a cost function associated to cut-off sharpness. In comparison with standard orthonormal filters, the proposed method is shown to provide better trade-off between frequency selectivity and time resolution. For illustration, the optimized filters are employed in an application example involving the use of a wavelet-packet system identification scheme. As a result, the identification errors are smaller than those obtained by using a non-optimized filter with the same length." @default.
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- W2022238094 date "2012-07-01" @default.
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- W2022238094 title "Optimized orthonormal wavelet filters with improved frequency separation" @default.
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- W2022238094 doi "https://doi.org/10.1016/j.dsp.2012.04.001" @default.
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