Partial Empirical Mode Decomposition (EMD) Implementation for Hilbert-Huang Transform (HHT)
- Login to Download
- 1 Credits
Resource Overview
A segment of the Empirical Mode Decomposition (EMD) procedure utilized in Hilbert-Huang Transform (HHT), featuring code-level algorithmic implementation insights.
Detailed Documentation
This segment presents a portion of the Empirical Mode Decomposition (EMD) procedure employed within the Hilbert-Huang Transform (HHT) framework. Through this implementation, signals can be decomposed and analyzed using an adaptive sifting process that extracts intrinsic mode functions (IMFs). The algorithm iteratively identifies local extrema, constructs upper/lower envelopes via cubic spline interpolation, and subtracts mean envelopes from the signal until IMF criteria are met. Key functions include extremum detection, envelope generation, and stopping condition validation for robust non-stationary signal processing.
- Login to Download
- 1 Credits