Plotting Function for Spectral Analysis in HHT French Algorithm

In the HHT French algorithm implementation, a plotting function for spectral analysis is essential. This function's purpose is to visually represent spectral analysis results, making them more intuitive and easier to interpret. Through this plotting utility, we can gain deeper insights into spectral analysis outcomes and enhance their practical application to real-world problems. From an implementation perspective, this function typically employs MATLAB's visualization capabilities to generate time-frequency spectra, Hilbert-Huang transforms, and marginal spectrum plots. Key technical aspects include handling matrix data from the empirical mode decomposition (EMD) process, implementing color mapping for amplitude representation, and configuring axis labels for proper scientific visualization. The function likely incorporates algorithms for: - Processing instantaneous frequency data from Hilbert transforms - Generating 2D/3D spectral plots with proper scaling - Implementing interactive features for data exploration - Ensuring computational efficiency for large datasets Therefore, this plotting function plays a crucial role in the HHT algorithm workflow and serves as an indispensable component for conducting comprehensive spectral analysis, particularly when debugging or validating signal processing results.