MATLAB Wavelet Analysis Implementation for Vibration Signal Processing

The wavelet analysis program serves as an efficient tool for analyzing various vibration signals through MATLAB implementation. The code typically utilizes functions like wavedec for wavelet decomposition and waverec for reconstruction, enabling multi-resolution analysis of signal characteristics. This implementation demonstrates particular advantage in processing non-stationary signals through built-in wavelet families (Daubechies, Coiflets, etc.) with customizable threshold denoising via wdenoise function. Beyond vibration analysis applications, the program's user-friendly interface and clear workflow make signal processing accessible even for beginners. In both scientific research and engineering practice, this implementation accurately extracts frequency components, amplitude variations, and phase information through continuous or discrete wavelet transforms using cwt and dwt functions respectively. The integration of time-frequency localization capabilities allows professionals and novices alike to effectively study vibration signals' time-evolving features while maintaining precise control over decomposition levels through the wmaxlev function for optimal resolution selection.