emd
There are 46 repositories under emd topic.
PythonOT/POT
POT : Python Optimal Transport
wmayner/pyemd
Fast EMD for Python: a wrapper for Pele and Werman's C++ implementation of the Earth Mover's Distance metric
hustcxl/SP_Lib
Signal processing method and algorithm library
FateMurphy/CEEMDAN_LSTM
CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.
MVRonkin/dsatools
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.
HirojiSawatari/EEMD-Project
This is a MATLAB project which can calculate EMD/EEMD
Adaptech/les
Go directly from an event storming to a working API: Event Markdown / Markup validation & NodeJS CQRS/ES application builder.
PauloCarvalhoRJ/gammaray
GammaRay: a graphical interface to GSLib and other geomodeling algorithms. *NEW* in May, 6th: Drift analysis.
aiola-lab/corener
Multi-task model for named-entity recognition, relation extraction, entity mention detection and coreference resolution.
helske/Rlibeemd
Ensemble Empirical Mode Decomposition (EEMD) and Its Complete Variant (CEEMDAN)
Lcrypto/Simulated-annealing-lifting-QC-LDPC
Simulated annealing lifting for high girth QC-LDPC include ACE/EMD optimization. Make QC-LDPC from protograph (base matrix)
emdforsale/emd
EMD(Empirical Mode decomposition) light weight library, C/C++ language
Lcrypto/classic-PEG-
Progressive edge growth PEG for LDPC code and QC-LDPC construction C++, Python, Matlab PEG with ACE and Avoiding Generating Small Cycles
nebojsa55/Empirical-Mode-Decomposition
Example of Empirical Mode Decomposition algorithm
efsierraa/Pywptemd
Class to filter EEG artifacts using WPT, ICA and EMD
LetMeFly666/Instantaneous3D_EEG_SignalAnalysis
Paper reproduction: Instantaneous 3D EEG Signal Analysis Based on Empirical Mode Decomposition and the Hilbert–Huang Transform Applied to Depth of Anaesthesia
OHBA-analysis/Quinn2021_Waveform
Analysis scripts accompanying "Within-cycle instantaneous frequency profiles report oscillatory waveform dynamics" https://doi.org/10.1101/2021.04.12.439547
TAPE-Lab/CyGNAL
Pipeline for analysing and visualising CyTOF datasets, with a focus on PTM signalling networks.
CardLin/SFEGO_PyCUDA
This python binding for run CUDA 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)
gkimer/thesis-ICI
Diagnóstico de falla de rodamiento utilizando descomposición modal empírica y deep learning
icemiliang/vot
Variational Optimal Transportation
Avernial/sdppy
Spectral Data Processing (EMD and Wavelet)
JuliaOptimalTransport/PythonOT.jl
Julia interface for the Python Optimal Transport (POT) library
EEGLab-Pannon/MEMD-GPU
High-performance parallel GPU implementation of the Multivariate Empirical Mode Decomposition algorithm in CUDA
CardLin/HHSA_CPU_OpenMP
Holo-Hilbert Spectral Analysis (HHSA) OpenMP version: This program can doing Hilbert–Huang Transform and then doing HHSA.
eypklyc/Stega
Generalized Implementation of Exploiting Modification Direction Technique
kachark/rust-optimal-transport
Rust Optimal Transport solvers
rcv911/EMD
Empirical Mode Decomposition
CardLin/SFEGO_OpenCL
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)
CardLin/SFEGO_PyOpenCL
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)
CardLin/SFEGO_PyOpenCL_Service
This Server.py and Client.py can provide send job to multiple GPU Server to run SFEGO in GPU which can make better throughput.
EEGLab-Pannon/CEEMDAN-GPU
High-performance parallel GPU implementation of the Improved Complete Empirical Mode Decomposition with Adaptive Noise algorithm in CUDA
mkner/visual-odometry
Comparison of visual odometry transformation reconstruction methods for optimal path estimates and localization using feature detection, description, matching and trajectory generation
sofianieva/msc_thesis
Study of time-frequency representations in the presence of heteroscedastic dependent noise