Denoising with DB2 Lifting Wavelet Implementation

This program implements a fully functional DB2 wavelet denoising algorithm that effectively enhances signal quality by eliminating noise. The implementation utilizes the lifting scheme for DB2 wavelets, which provides computational efficiency through in-place calculations and reversible transformations. Key components include wavelet decomposition thresholding and reconstruction processes, where noise components are identified and attenuated using statistical thresholding methods. Users can easily process signals through this ready-to-run solution, obtaining cleaner and more accurate results for scientific research, engineering applications, and various technical fields. The algorithm's modular design allows straightforward integration into existing workflows, demonstrating significant improvements in signal processing efficiency. Experience the robust performance of this wavelet-based denoising approach by running the program directly.