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Published in 2019 at "Entropy"
DOI: 10.3390/e21090913
Abstract: Due to the non-linearity of numerous physiological recordings, non-linear analysis of multi-channel signals has been extensively used in biomedical engineering and neuroscience. Multivariate multiscale sample entropy (MSE–mvMSE) is a popular non-linear metric to quantify the…
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Keywords:
series;
multivariate multiscale;
time series;
mvmse ... See more keywords
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Published in 2022 at "Entropy"
DOI: 10.3390/e24091287
Abstract: The extension of sample entropy methodologies to multivariate signals has received considerable attention, with traditional univariate entropy methods, such as sample entropy (SampEn) and fuzzy entropy (FuzzyEn), introduced to measure the complexity of chaotic systems…
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Keywords:
similarity entropy;
cosine similarity;
multivariate multiscale;
entropy ... See more keywords
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Published in 2025 at "Journal of Marine Science and Engineering"
DOI: 10.3390/jmse13040675
Abstract: Underwater acoustic signals typically exhibit non-Gaussian, non-stationary, and nonlinear characteristics. When processing real-world underwater acoustic signals, traditional multivariate entropy algorithms often struggle to simultaneously ensure stability and extract cross-channel information. To address these issues, the…
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Keywords:
underwater acoustic;
multiscale sample;
multivariate multiscale;
improved multivariate ... See more keywords