Gaussian Function as a Low-Pass Smoothing Function for Wavelet-Based Analysis

The Gaussian function, characterized by its low-pass filtering properties, serves as a wavelet basis function for singularity analysis. Utilizing its first and second derivatives enables precise identification and characterization of abrupt changes in signals, with implementations often involving convolution operations and derivative computations for feature extraction.