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- W2079256412 abstract "Optimization with respect to some energy measure such as compaction energy is a widely used criterion for designing wavelet filter banks. The filter bank can be adapted to the signal that it is analyzing to achieve good performance. The frequency selectivity property of a traditional low-pass filter is however not ensured using this criterion. Frequency selectivity is important to ensure the effects on aliasing is minimized in the subband and to give a regular equivalent wavelet function. In this work the design of energy optimized filters with a prescribed sharpness in the frequency response is presented. The sharpness, which determines the degree of selectivity, is achieved by the zero-pinning technique on the Bernstein polynomial. The design technique can be cast as a Semidefinite Programming (SDP) problem which can be solved with efficient interior point algorithms." @default.
- W2079256412 created "2016-06-24" @default.
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- W2079256412 date "2014-08-01" @default.
- W2079256412 modified "2023-10-17" @default.
- W2079256412 title "Energy optimized orthonormal wavelet filter bank with prescribed sharpness" @default.
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- W2079256412 doi "https://doi.org/10.1016/j.dsp.2014.04.011" @default.
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