Empirical Mode Decomposition in Python

Python tools for the extraction and analysis of non-linear and non-stationary oscillatory signals.

Sift Oscillations

Non-Linear Power Spectra

Cross-Frequency Coupling

Single Cycle Waveform Shape

Features

• Sift algorithms including the ensemble sift, complete ensemble sift and mask sift

• Instantaneous phase, frequency and amplitude computation

• Cycle detection and analysis

• Hilbert-Huang spectrum estimation (1d frequency spectrum or 2d time-frequency spectrum)

• Second layer sift to quantify structure in amplitude modulations

• Holospectrum estimation (3d instantaneous frequency x amplitude modulation frequency x time spectrum)

Sitemap

• Install
  • Quick Start
  • Stable version (PyPI)
  • Development version (GitLab)
• Cite
  • Reference Library
• EMD Tutorials
• Sifting
• Spectrum Analysis
• Cycle Analysis
• Utilities
• Reference
  • Sift Functions
  • Sift Utilities
  • Frequency Functions
  • Spectrum Functions
  • Spectrum Utilities
  • IMF-Tools
  • Simulate
  • Cycle Analysis
  • Package Utilities
• Contribute
  • Issues
  • Merge Requests
• Changelog
  • Development Version
• Stable Versions
  • 0.6.2
  • 0.6.1
  • 0.6.0
  • 0.5.5
  • 0.5.4
  • 0.5.3
  • 0.5.2
  • 0.5.1
  • 0.5.0
  • 0.4.0
  • 0.3.3
  • 0.3.2
  • 0.3.1
  • 0.3.0
  • 0.2.0
  • 0.1.0