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Variational mode decomposition denoising combined with the Hausdorff distance
Review of Scientific Instruments, 2017Variational mode decomposition (VMD) is a recently introduced adaptive signal decomposition algorithm with a solid theoretical foundation and good noise robustness compared with empirical mode decomposition (EMD). However, there is still a problem with this algorithm associated with the selection of relevant modes.
Wenping Ma +3 more
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2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2016
Most of the non-stationary signals need adaptive processing technique for denoising, signal processing for feature extraction and analysis. In this regard, signal decomposition methods plays a vital role as selective reconstruction extracts the enhanced version of the signal buried in the noise.
Uday Maji, Saurabh Pal
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Most of the non-stationary signals need adaptive processing technique for denoising, signal processing for feature extraction and analysis. In this regard, signal decomposition methods plays a vital role as selective reconstruction extracts the enhanced version of the signal buried in the noise.
Uday Maji, Saurabh Pal
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Adaptive Variational Nonlinear Chirp Mode Decomposition
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022Hao Liang +4 more
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MGDMD: Multi-variate generalized dispersive mode decomposition
Signal Processing, 2022Madhukant Sharma, Udit Satija
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Whispering-gallery-mode sensors for biological and physical sensing
Nature Reviews Methods Primers, 2021Deshui Yu, Matjaž Humar, Krista Meserve
exaly
Revisiting the principles of microRNA target recognition and mode of action
Nature Reviews Molecular Cell Biology, 2009Olivier Voinnet
exaly
Recursive Windowed Variational Mode Decomposition
Circuits, Systems, and Signal ProcessingZhaoheng Zhou +2 more
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