MATLAB Wavelet Denoising Program

In this document, I present a highly useful tool: the MATLAB Wavelet Denoising Program. This is an original program I developed, meticulously coded to provide a complete solution. The program effectively removes noise from signals, significantly enhancing signal quality. It features flexible implementation allowing denoising processing for various signal types including audio, images, and other data formats. The program employs advanced wavelet analysis techniques that capture subtle signal variations while distinguishing them from noise components. Through parameter adjustment and appropriate wavelet basis function selection (such as Daubechies, Symlets, or Coiflets wavelets), users can customize denoising effects according to specific requirements. Key implementation aspects include wavelet decomposition thresholding, noise estimation algorithms, and reconstruction techniques. The code structure includes: - Signal preprocessing and normalization routines - Multi-level wavelet decomposition using wavedec function - Threshold selection methods (Universal threshold, SURE threshold, or Minimax threshold) - Wavelet coefficient thresholding (soft or hard thresholding) - Signal reconstruction using waverec function This program combines user-friendly operation with powerful functionality, making it suitable for various application scenarios. If you're seeking a reliable wavelet denoising tool, I strongly recommend trying this MATLAB Wavelet Denoising Program for your signal processing projects.