MATLAB Wavelet Denoising Program

This MATLAB wavelet denoising program provides a practical tool for researchers studying wavelet applications. The program implements signal noise reduction techniques to enhance signal quality using wavelet transforms and related algorithms for noise identification and elimination. Through this implementation, researchers can gain deeper insights into wavelet principles and applications, particularly how wavelet denoising techniques can improve signal processing outcomes. The program likely utilizes core MATLAB wavelet functions such as wavedec for wavelet decomposition, wdencmp or wthresh for threshold-based denoising, and waverec for signal reconstruction. Key algorithmic approaches may include threshold selection methods (universal threshold, minimax threshold) and wavelet basis selection (Daubechies, Symlets) to optimize denoising performance. This tool serves as both a functional denoising solution and an educational resource for advancing research in wavelet-based signal processing and related fields.