Wigner-Ville Distribution Algorithm Implementation

The Wigner-Ville distribution algorithm serves as a powerful method for investigating non-linearity and energy properties, specifically designed for physiological signal analysis applications. This algorithm utilizes quadratic time-frequency representation to provide high-resolution analysis of signal components, making it particularly valuable for examining complex physiological data patterns. In signal processing applications, the Wigner-Ville distribution algorithm enables detailed analysis of key features and patterns within physiological signals. The implementation typically involves computing the instantaneous auto-correlation function and applying Fourier transformation to generate time-frequency distributions. Key programming aspects include handling cross-term interference through appropriate windowing techniques and optimizing computational efficiency for real-time biomedical applications. Through the application of this algorithm, researchers can gain deeper insights into the fundamental properties of physiological signals, extracting valuable information relevant to health monitoring and disease diagnosis. The implementation includes functions for signal preprocessing, distribution calculation, and visualization components to facilitate comprehensive analysis. This program holds significant importance for physiology and medical research fields, contributing to advancements in diagnostic methodologies and promoting innovation in biomedical signal processing technologies. The code structure typically incorporates modular design for easy integration with existing biomedical data analysis pipelines.