notsebastiano / GP_algorithm
Implementation of the Grassberger-Procaccia algorithm to estimate the Correlation Dimension of a set of points
☆17Updated 3 years ago
Alternatives and similar repositories for GP_algorithm:
Users that are interested in GP_algorithm are comparing it to the libraries listed below
- Python version of the Multivariate Empirical Mode Decomposition algorithm☆70Updated 3 years ago
- An open-source toolkit for entropic data analysis.☆160Updated this week
- A Python module implementing some standard algorithms used in nonlinear time series analysis☆180Updated last year
- Nonlinear measures for dynamical systems (based on one-dimensional time series)☆275Updated 6 months ago
- The codes in the toolbox can be used to perform nonlinear time series analysis on single(or multi) channel data. This is done by mapping …☆31Updated 3 years ago
- Multifractal Detrended Fluctuation Analysis in Python☆141Updated 2 years ago
- MATLAB code for estimating parameters for phase space reconstruction of multivariate data.☆48Updated 10 months ago
- Wavelet based multifractal analysis of 1D signals☆32Updated last month
- Transfer Entropy between two time series - Implementation in Python☆38Updated last month
- Copula Granger causality for continuous time series☆13Updated 7 years ago
- Compute the Correlation Dimension of a Time Series☆15Updated 8 years ago
- Entropy for Python☆348Updated this week
- Recurrence Quantification Analysis of Large-Scale Time Series☆30Updated last year
- Open-Source MATLAB toolbox for transfer entropy estimation☆61Updated 7 years ago
- Granger Causality library in python☆37Updated 3 years ago
- Numerical toolbox developed by the Nonlinear & Biomedical Physics group at Lancaster University for analysing real-life time-series.☆33Updated 4 years ago
- python package for DFA (Detrended Fluctuation Analysis) and related algorithms☆126Updated 2 months ago
- Matlab code for frequency-domain Granger causality with significance testing☆14Updated 10 years ago
- ☆88Updated last year
- Detrended Fluctuation Analysis☆63Updated 3 years ago
- Code to evaluate nonlinear Granger causality using the kernel trick to reduce complexity☆34Updated 2 years ago
- This is our standard library for nonlinear analysis. Many of these functions are the same we use in our services. We do have additional m…☆42Updated last week
- Using GC analysis to explore the effective connectivities☆17Updated 3 years ago
- Python implementation of MODA, a numerical toolbox developed by the Nonlinear & Biomedical Physics group at Lancaster University.☆21Updated 2 years ago
- MATLAB and Python code for creating, defining, and working with Morlet wavelets in the time and frequency domains.☆22Updated 4 years ago
- A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks☆33Updated 11 months ago
- modwt in python☆92Updated last year
- A Python package for data analysis with permutation entropy and ordinal network methods.☆101Updated 5 months ago
- AntroPy: entropy and complexity of (EEG) time-series in Python☆312Updated last month
- A simple Multivariate Granger Causality (MVGC) python tool rewritten from part of Matlab MVGC toolbox☆23Updated 6 years ago