Data-Driven Multivariate Signal Denoising Using Mahalanobis Distance
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DOI: 10.1109/lsp.2019.2932715
Abstract: A novel multivariate signal denoising method is presented that computes Mahalanobis distance measure at multiple data scales obtained from multivariate empirical mode decomposition (MEMD) algorithm. That enables joint multichannel data denoising directly in multidimensional space… read more here.
Keywords: multivariate signal; tex math; distance; signal denoising ... See more keywords
Wavelet Based Multivariate Signal Denoising Using Mahalanobis Distance and EDF Statistics
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2020.3029659
Abstract: A multivariate signal denoising method is proposed which employs a novel multivariate goodness of fit (GoF) test that is applied at multiple data scales obtained from discrete wavelet transform (DWT). In the proposed multivariate GoF… read more here.
Keywords: multivariate signal; tex math; signal denoising; inline formula ... See more keywords