Hilbert-Huang Transform MATLAB Implementation
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Resource Overview
This MATLAB function performs signal analysis to generate spectrum diagrams, instantaneous frequency plots, and Intrinsic Mode Function (IMF) visualizations. The implementation features user-customizable input functions and provides efficient signal processing capabilities with straightforward parameter modification for rapid results.
Detailed Documentation
This MATLAB function processes input data to generate spectrum diagrams, instantaneous frequency plots, and IMF visualizations through Empirical Mode Decomposition (EMD) algorithms. The implementation utilizes Huang's sifting process to extract IMF components, followed by Hilbert spectral analysis for frequency characterization. Users can efficiently modify the target function parameters to obtain customized results, significantly reducing development time while maintaining analytical accuracy. The code structure enables flexible data processing with multiple visualization options, including time-frequency representations and component analysis through iterative envelope detection and mean curve subtraction methodologies.
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