emd

POT : Python Optimal Transport

Fast EMD for Python: a wrapper for Pele and Werman's C++ implementation of the Earth Mover's Distance metric

Signal processing method and algorithm library

Digital signal analysis library for python. The library includes such methods of the signal analysis, signal processing and signal parameter estimation as ARMA-based techniques; subspace-based techniques; matrix-pencil-based methods; singular-spectrum analysis (SSA); dynamic-mode decomposition (DMD); empirical mode decomposition; variational mode decomposition (EMD); empirical wavelet transform (EWT); Hilbert vibration decomposition (HVD) and many others.

This is a MATLAB project which can calculate EMD/EEMD

Ensemble Empirical Mode Decomposition (EEMD) and Its Complete Variant (CEEMDAN)

GammaRay: a graphical interface to GSLib and other geomodeling algorithms. New in April, 6th: upgrade of VTK to 9.1 and of other years-old dependencies.

CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.

Variational Optimal Transportation

Pipeline for analysing and visualising CyTOF datasets, with a focus on PTM signalling networks.

Spectral Data Processing (EMD and Wavelet)

Multi-task model for named-entity recognition, relation extraction, entity mention detection and coreference resolution.

Julia interface for the Python Optimal Transport (POT) library

Analysis scripts accompanying "Within-cycle instantaneous frequency profiles report oscillatory waveform dynamics" https://doi.org/10.1101/2021.04.12.439547

Diagnóstico de falla de rodamiento utilizando descomposición modal empírica y deep learning

Example of Empirical Mode Decomposition algorithm

Empirical Mode Decomposition

Generalized Implementation of Exploiting Modification Direction Technique

Holo-Hilbert Spectral Analysis (HHSA) OpenMP version: This program can doing Hilbert–Huang Transform and then doing HHSA.

This project is mimic of Multi-dimensional Ensemble Empirical Mode Decomposition (MEEMD) and this project achieve 10000x faster than MEEMD. Also the result is better than Bi-dimensional Empirical Mode Decomposition. (BEMD)

This python binding for run OpenCL kernel code of SFEGO is mimic of Multi-dimensional Ensemble Empirical Mode Decomposition (MEEMD) and this project achieve 10000x faster than MEEMD. Also the result is better than Bi-dimensional Empirical Mode Decomposition. (BEMD)

Image classification and unsupervised learning using latent space vectors produced by convolutional neural nets together with the original vectors space

Rust Optimal Transport solvers

2016년 엘스비어 논문을 통해 신호 분석에 특화된 EMD, EEMD의 효과를 ARIMA를 통해 확인한다.

Class to filter EEG artifacts using WPT, ICA and EMD

Clone of https://bitbucket.org/luukko/libeemd.git with decent Autotools support for building correctly on Windows, macOS, and others.