Hilbert-Huang Transform (HHT) Toolbox for EMD Decomposition Process
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Resource Overview
This is primarily a toolbox for the Empirical Mode Decomposition (EMD) process within the Hilbert-Huang Transform (HHT) framework. Once imported into MATLAB's toolbox directory, it becomes immediately operational for signal processing applications.
Detailed Documentation
This text primarily introduces the toolbox for the Empirical Mode Decomposition (EMD) process within the Hilbert-Huang Transform (HHT) framework. The toolbox can be imported into MATLAB environment, making it readily available for use! By utilizing this toolbox, users can conveniently perform Hilbert-Huang Transform decomposition - a highly valuable signal processing technique for analyzing non-stationary and nonlinear data. The implementation includes key algorithms for sifting processes, envelope detection, and intrinsic mode function extraction, providing researchers with standardized methods to decompose complex signals into oscillatory components.
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