MATLAB Code Implementation of Wavelet Transform

This document presents an introductory overview of a wavelet transform implementation program. Developed by scholars at Anhui University, this MATLAB-based code is designed to assist beginners in understanding and applying wavelet transform techniques. The implementation employs discrete wavelet decomposition algorithms that effectively capture signal singularities, making it particularly effective for edge detection applications through multi-scale analysis. Beyond edge detection, this program can be adapted for various signal processing and image processing domains, offering broad application potential. The code structure includes key functions for wavelet coefficient computation, threshold selection, and inverse transformation, allowing users to modify decomposition levels and wavelet bases according to specific requirements. Utilizing this program not only enhances comprehension and mastery of wavelet transform technology but also expands knowledge and skills in related fields, creating opportunities for scientific research and professional development. The implementation demonstrates practical MATLAB programming techniques for handling wavelet families like Daubechies or Symlets, with clear comments facilitating customization for different applications.