DB4 Wavelet Program Implementation

This MATLAB-implemented DB4 wavelet program consists of a main driver script along with supporting utility functions. The program employs Daubechies 4-tap (db4) wavelet transforms for advanced signal processing operations, enabling both signal analysis and reconstruction with optimized computational efficiency. The core implementation includes: parameter configuration modules for wavelet decomposition levels and threshold settings, data I/O handlers supporting various signal formats, and reconstruction algorithms ensuring perfect signal recovery. Key functions feature multi-level wavelet decomposition using wavedec(), threshold-based denoising with wthresh(), and reconstruction via waverec(). The modular architecture allows customization of decomposition levels (typically 5-8 layers) and threshold strategies (hard/soft thresholding) to accommodate diverse application scenarios. Users can modify filter coefficients through dbaux() or integrate custom wavelet families while maintaining the core processing framework. This robust toolkit provides flexible signal processing capabilities suitable for biomedical data analysis, image compression, and feature extraction tasks, with optional extensions for real-time processing through MATLAB's wavelet toolbox integration.