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EMD: Empirical Mode Decomposition and Hilbert-Huang Spectral Analyses in Python.
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Hilbert-Huang transformation-based time-frequency analysis methods in biomedical signal applications.
Proc Inst Mech Eng H. 2012 Mar;226(3):208-16. doi: 10.1177/0954411911434246.
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Motion Capture Data Analysis in the Instantaneous Frequency-Domain Using Hilbert-Huang Transform.
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Detecting position dependent tremor with the Empirical mode decomposition.
J Clin Mov Disord. 2015 Feb 16;2:3. doi: 10.1186/s40734-014-0014-z. eCollection 2015.
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Spectral denoising based on Hilbert-Huang transform combined with F-test.
Front Chem. 2022 Aug 30;10:949461. doi: 10.3389/fchem.2022.949461. eCollection 2022.
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A comparison of two Hilbert spectral analyses of heart rate variability.
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Spectral Analysis of Electricity Demand Using Hilbert-Huang Transform.
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Mean-optimized mode decomposition: An improved EMD approach for non-stationary signal processing.
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Multisensory integration for active mechanosensation in flight.
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Spatio-temporal organization of network activity patterns in the hippocampus.
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EM-DeepSD: A Deep Neural Network Model Based on Cell-Free DNA End-Motif Signal Decomposition for Cancer Diagnosis.
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Augmenting Circadian Biology Research With Data Science.
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Pathological tau alters head direction signaling and induces spatial disorientation.
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Exploring the impact of tonal inventory on speech perception across languages: a study of MMN responses in tonal language speakers.
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Offline hippocampal reactivation during dentate spikes supports flexible memory.
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1
On Holo-Hilbert spectral analysis: a full informational spectral representation for nonlinear and non-stationary data.
Philos Trans A Math Phys Eng Sci. 2016 Apr 13;374(2065):20150206. doi: 10.1098/rsta.2015.0206.

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