Wavelet Denoising

I would like to share a wavelet denoising application suitable for beginners, hoping to provide assistance and inspiration.

Wavelet denoising is a signal processing technique used to reduce noise in signals while extracting useful information. It has wide applications in fields like image processing and audio processing. By implementing wavelet denoising algorithms (typically involving wavelet decomposition, thresholding, and reconstruction), we can achieve clearer images and cleaner audio signals through MATLAB's wavelet toolbox functions like wdenoise() or custom thresholding implementations.

This application helps beginners understand fundamental concepts and principles of wavelet denoising. It provides a simple interface allowing users to import their own signal data and perform denoising operations. Users can adjust parameters such as wavelet type, decomposition level, and threshold values to observe denoising effects and learn how different parameters influence the results through real-time visualization.

Through this application, beginners can better comprehend wavelet denoising principles and master how to apply wavelet denoising algorithms for signal processing. The code structure demonstrates key steps including signal preprocessing, wavelet transformation, threshold selection methods (soft/hard thresholding), and signal reconstruction. I hope users will find this application valuable and beneficial for their learning journey.