Wavelet Transform Source Code Implementation Without Wavelet Toolbox

This document provides MATLAB source code for wavelet transform implementation without relying on MATLAB's built-in Wavelet Toolbox. Wavelet transform is a mathematical tool that decomposes signals into different frequency components, widely used in signal processing and data analysis applications. The code demonstrates how to implement wavelet transforms in MATLAB environment, allowing users to understand the underlying principles and practical applications. The implementation includes core algorithms for wavelet decomposition and reconstruction, featuring customizable wavelet functions and thresholding techniques for signal denoising. By utilizing this source code, users can perform wavelet transforms independently and modify or optimize the implementation according to their specific requirements. The code structure includes main functions for wavelet coefficient calculation, multi-level decomposition, and inverse transform operations. We hope this code proves valuable for your signal processing projects and educational purposes!