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Comparative study of methods for solving the correspondence problem in EMD applications
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1023/a:1009745219419openalex-snapshot
Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications
inferredcites →https://doi.org/10.1088/1367-2630/16/11/115012openalex-snapshot
Time-variant coherence between heart rate variability and EEG activity in epileptic patients: an advanced coupling analysis between physiological networks
inferredcites →https://doi.org/10.1098/rspa.1998.0193openalex-snapshot
The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
inferredcites →https://doi.org/10.1098/rspa.2009.0502openalex-snapshot
Multivariate empirical mode decomposition
inferredcites →https://doi.org/10.1109/cise.2009.5363717openalex-snapshot
A New Algorithm for k-Cardinality Assignment Problem
inferredcites →https://doi.org/10.1109/icassp.2011.5947265openalex-snapshot
A complete ensemble empirical mode decomposition with adaptive noise
inferredcites →https://doi.org/10.1109/lsp.2003.821662openalex-snapshot
Empirical Mode Decomposition as a Filter Bank
inferredcites →https://doi.org/10.1109/lsp.2007.904710openalex-snapshot
Bivariate Empirical Mode Decomposition
inferredcites →https://doi.org/10.1109/tbme.2014.2307481openalex-snapshot
Time-Variant, Frequency-Selective, Linear and Nonlinear Analysis of Heart Rate Variability in Children With Temporal Lobe Epilepsy
inferredcites →https://doi.org/10.1109/tsp.2011.2106779openalex-snapshot
Filter Bank Property of Multivariate Empirical Mode Decomposition
inferredcites →https://doi.org/10.1137/0105003openalex-snapshot
Algorithms for the Assignment and Transportation Problems
inferredcites →https://doi.org/10.1142/s0218126610006037openalex-snapshot
EMD APPROACH TO MULTICHANNEL EEG DATA — THE AMPLITUDE AND PHASE COMPONENTS CLUSTERING ANALYSIS
inferredcites →https://doi.org/10.1142/s1793536909000047openalex-snapshot
ENSEMBLE EMPIRICAL MODE DECOMPOSITION: A NOISE-ASSISTED DATA ANALYSIS METHOD
inferredcites →https://doi.org/10.1145/362919.362945openalex-snapshot
An extension of the Munkres algorithm for the assignment problem to rectangular matrices
inferredcites →https://doi.org/10.1155/2008/592742openalex-snapshot
Single-Trial Classification of Bistable Perception by Integrating Empirical Mode Decomposition, Clustering, and Support Vector Machine
inferredcites →https://doi.org/10.1155/2014/317954openalex-snapshot
Application of Hilbert‐Huang Transform in Structural Health Monitoring: A State‐of‐the‐Art Review
inferredcites →https://doi.org/10.3414/me14-02-0024openalex-snapshot
Assignment of Empirical Mode Decomposition Components and Its Application to Biomedical Signals
What points at this work
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inferred← citeshttps://doi.org/10.1007/978-3-030-17795-9_18openalex-snapshot
Volumetric Data Exploration with Machine Learning-Aided Visualization in Neutron Science
inferred← citeshttps://doi.org/10.1016/j.compag.2024.109200openalex-snapshot
Using Singular Spectrum Analysis and Empirical Mode Decomposition to Enhance the Accuracy of a Machine Learning-Based Soil Moisture Forecasting Algorithm
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