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Titlebook: Second Generation Wavelets and Applications; Maarten Jansen,Patrick Oonincx Book 2005 Springer-Verlag London 2005 Data Analysis.Lifting sc

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發(fā)表于 2025-3-23 11:21:52 | 只看該作者
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https://doi.org/10.1007/1-84628-140-7Data Analysis; Lifting scheme; Signal; Signal Processing; Wavelet; Wavelets; calculus; computer graphics; fu
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disease discrimination model. Second, to implement the lesion location task, the lesion candidate boxes are generated by the candidate boxes representation model in the test image. Third, the disease discrimination model is used to select true lesion areas from candidate boxes and integrate them to
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ong ultra-wideband interference within a bandwidth of 3×528MHz can be mitigated. For BER=1E-2, the signal-to-interference ratio(SIR) of TR-UWB improves 25dB with a notch filter comparing to that without a notch filter. The present work is expected to be useful for the design of the simple and advanc
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發(fā)表于 2025-3-25 01:20:01 | 只看該作者
MBM is more general and flexible than previous approaches; at the same time it is proved to receive the best convergence result for general non-convex and non-smooth optimization problems. Thus, our proposed ABN is an efficient and converged algorithm which rapidly converges to desired solutions in
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