General Processing of Non-stationary Signals in Time-Frequency Analysis

This MATLAB code provides comprehensive implementation for general processing of non-stationary signals in time-frequency analysis. The workflow begins with loading the required signal data followed by preprocessing steps to ensure data quality. The core implementation employs appropriate time-frequency analysis algorithms (such as Short-Time Fourier Transform or Wavelet Transform) to extract both spectral characteristics and time-domain information from non-stationary signals. The code includes visualization modules that generate spectrograms and time-frequency distributions, enabling researchers to better understand signal features and temporal variations. The implementation concludes with analytical summary and evaluation sections, along with suggestions for potential algorithmic improvements and optimization methods. This codebase serves as a foundational framework for researchers and engineers working with non-stationary signal analysis, providing essential preprocessing, analysis, and visualization functions with clear modular structure for easy customization and extension.