Explore MATLAB source code curated for "Hilbert-Huang变换" with clean implementations, documentation, and examples.
This MATLAB program implements the Hilbert-Huang Transform (HHT), featuring Empirical Mode Decomposition (EMD), Hilbert spectral analysis, and marginal spectrum computation. It includes practical examples with comprehensive signal processing capabilities, data visualization tools, and result analysis features for vibration analysis and non-stationary signal processing applications.
High-quality research paper with complete source code implementation. The Hilbert-Huang Transform (HHT) represents an advanced signal processing approach for non-stationary signals, comprising two key algorithmic components: Empirical Mode Decomposition (EMD) and Hilbert Spectral Analysis. The EMD algorithm recursively decomposes arbitrary non-stationary signals into Intrinsic Mode Functions (IMFs) representing different characteristic scales. Each IMF undergoes Hilbert transform analysis to extract instantaneous frequency characteristics, with combined spectral results generating comprehensive time-frequency representations. This method effectively stabilizes non-stationary signals by progressively separating intrinsic fluctuations and trends through algorithmic sifting processes.
High-quality academic papers with complementary implementation source code for Hilbert-Huang Transform (HHT) signal processing methodology