MATLAB Wavelet Denoising Implementation Using Modulus Maxima Method

This wavelet denoising program implements a modulus maxima-based approach, providing a convenient and effective tool for signal processing applications. The package includes four core MATLAB files: P_gama.m handles noise variance estimation, P_y.m processes input signals for wavelet decomposition, Py_Pgama.m calculates adaptive thresholds based on signal-to-noise characteristics, and wavedenoisemod3_a.m serves as the main driver coordinating the complete denoising workflow. The implementation follows wavelet modulus maxima principles where noise components are identified and attenuated by analyzing the maxima propagation across scales. The algorithm automatically determines optimal thresholds using statistical properties of wavelet coefficients, effectively separating signal from noise while preserving important signal features. Users can directly employ these programs to enhance signal quality by removing noise artifacts through multi-scale wavelet analysis.