Signal Analysis with Hilbert-Huang Transform (HHT)
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Resource Overview
Implements Hilbert-Huang Transform for signal processing, displaying multi-level IMF components and visualizing the Empirical Mode Decomposition (EMD) workflow with algorithm demonstrations
Detailed Documentation
This system enables comprehensive signal analysis through Hilbert-Huang Transform (HHT) implementation. The HHT algorithm decomposes input signals into multiple Intrinsic Mode Function (IMF) components at different frequency scales while providing complete visualization of the Empirical Mode Decomposition (EMD) iterative process.
Through HHT transformation, users can gain detailed insights into signal composition and characteristic features, facilitating in-depth analytical research. The implementation includes sifting process algorithms for IMF extraction and Hilbert spectral analysis for time-frequency characterization, allowing researchers to examine signal properties across various decomposition stages with proper boundary handling and stoppage criteria.
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