Detailed Demonstration of the EMD Process

This text provides a detailed demonstration of the EMD process to assist those new to HHT in understanding its workflow. The demonstration includes: First, explaining the definition and fundamental principles of EMD, highlighting its algorithm for decomposing nonlinear signals into intrinsic mode functions (IMFs). Second, describing the step-by-step procedure and flowchart of EMD, such as identifying local extrema, constructing envelopes via cubic spline interpolation, and iterating until IMF criteria are met. Third, presenting practical application examples with code snippets (e.g., using MATLAB’s emd() function or Python’s PyEMD library) to illustrate how EMD handles real-world signals like vibration or biomedical data. Finally, recommending learning resources and references—such as books, tutorials, and websites—to enable readers to deepen their knowledge and apply EMD effectively. Through this detailed breakdown, readers gain a holistic understanding of EMD and its implementation in technical scenarios.