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A Statistical Approach to Signal Denoising Based on Data-driven Multiscale Representation
We develop a data-driven approach for signal denoising that utilizes variational mode decomposition (VMD) algorithm and Cramer Von Misses (CVM) statistic.
FPGA based design for online computation of Multivariate EMD (MEMD)
MEMD is a data-driven method that extends the functionality of standard empirical mode decomposition (EMD) algorithm to multichannel or multivariate data sets.
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