194 skills found · Page 1 of 7
PyDMD / PyDMDPython Dynamic Mode Decomposition
vrcarva / VmdpyVariational mode decomposition (VMD) in Python
royalosyin / Python Practical Application On Climate Variability StudiesThis tutorial is a companion volume of Matlab versionm but add more. Main objective is the transference of know-how in practical applications and management of statistical tools commonly used to explore meteorological time series, focusing on applications to study issues related with the climate variability and climate change. This tutorial starts with some basic statistic for time series analysis as estimation of means, anomalies, standard deviation, correlations, arriving the estimation of particular climate indexes (Niño 3), detrending single time series and decomposition of time series, filtering, interpolation of climate variables on regular or irregular grids, leading modes of climate variability (EOF or HHT), signal processing in the climate system (spectral and wavelet analysis). In addition, this tutorial also deals with different data formats such as CSV, NetCDF, Binary, and matlab'mat, etc. It is assumed that you have basic knowledge and understanding of statistics and Python.
baddoo / PiDMDMATLAB codes for physics-informed dynamic mode decomposition (piDMD)
MVRonkin / DsatoolsDigital 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.
mariogrune / MEMD Python Python version of the Multivariate Empirical Mode Decomposition algorithm
mbudisic / KoopmanKoopman Mode Decomposition
RAMIRO-GM / Cardiac Frecuency And ECG Signal Denoising By EEMDECG signal denoising using Ensemble Empirical Mode Decomposition and R peak detection (cardiac frequency) using Hilbert Transform.
XinweiJiang / VMDvariational mode decomposition and its variants
shenmusmart / VMD PythonVariational Mode Decomposition for Python
erichson / DMDpackDynamic Mode Decomposition
macolominas / CEEMDANA MATLAB package for CEEMDAN (Complete Ensemble Empirical Mode Decomposition with Adaptive Noise)
tianyagk / PyEMD经验模态分解 (Empirical Mode Decomposition)
weizhenhit / All In One EEG Feature Extraction ToolboxAn all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectral density (PSD), differential entropy (DE), empirical mode decomposition (EMD), common spatial patterns (CSP), microstate analysis and so on. (The list of features will continue to update...)
cwrowley / DmdtoolsA library of tools for computing variants of Dynamic Mode Decomposition
haozhg / OdmdAI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)
MColbrook / Residual Dynamic Mode DecompositionCode for ResDMD: data-driven spectral properties of Koopman Operators
barkain / Claude Code Workflow OrchestrationClaude Code plugin for multi-step workflow orchestration — automatic task decomposition, parallel agent execution, and specialized agent delegation with native plan mode integration.
zhbai / CDMDcCompressive dynamic mode decomposition with control for compressive system identification
helske / RlibeemdEnsemble Empirical Mode Decomposition (EEMD) and Its Complete Variant (CEEMDAN)
