EMD (Empirical Mode Decomposition Algorithm) - MATLAB Implementation
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Resource Overview
This MATLAB M-file implements the Empirical Mode Decomposition (EMD) algorithm, including the essential cubic spline interpolation method required for signal decomposition.
Detailed Documentation
This program provides a MATLAB M-file implementation of the Empirical Mode Decomposition (EMD) algorithm, which incorporates the necessary cubic spline interpolation technique for effective signal decomposition. Empirical Mode Decomposition is a powerful non-stationary signal processing and data analysis method that decomposes complex signals into multiple Intrinsic Mode Functions (IMFs). Each IMF represents distinct frequency and amplitude components within the original signal. During the EMD decomposition process, the cubic spline interpolation algorithm is employed to create smooth upper and lower envelopes of the signal, ensuring accurate and stable decomposition results. The implementation includes key functions for envelope generation, IMF extraction, and stopping criterion evaluation, making it a comprehensive tool for signal analysis and decomposition tasks in research and engineering applications.
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