MATLAB Implementation of Wavelet Denoising with Code Examples

Resource Overview

Two practical wavelet denoising programs featuring threshold optimization techniques and signal reconstruction algorithms, ideal for signal processing applications and collaborative development

Detailed Documentation

I would like to share two wavelet denoising programs I've developed, which have undergone extensive testing and optimization to effectively remove noise from signals. The first implementation utilizes a soft thresholding approach with level-dependent threshold calculation using the 'wden' function, while the second employs custom threshold optimization with multi-resolution analysis through the wavelet toolbox. Both programs include signal decomposition using 'wavedec', coefficient thresholding with 'wthresh', and reconstruction via 'waverec' functions. The algorithms effectively handle various noise types while preserving signal characteristics through careful threshold selection and wavelet basis functions. I hope these implementations provide valuable insights and inspiration for your signal processing projects. I welcome any feedback, suggestions, or technical discussions to further improve these denoising techniques. Thank you for your interest and collaboration opportunities!