Analysis of One-Dimensional Signals Using Continuous Wavelet Transform

"A Practical Guide to Wavelet Analysis" serves as a comprehensive manual for Continuous Wavelet Transform analysis of one-dimensional signals. The guide meticulously details the entire analytical workflow, including implementation steps for time-frequency localization and multi-scale decomposition. It presents research papers with concrete examples demonstrating practical applications of CWT algorithms, such as signal denoising, feature extraction, and singularity detection. The reference provides substantial value by incorporating relevant theories and technical implementations, including MATLAB/Python code snippets for wavelet coefficient computation and inverse transform reconstruction. This guide offers readers deep understanding and mastery opportunities through explanations of key functions like wavelet selection criteria, scale parameter optimization, and time-frequency resolution balancing. Suitable for both beginners and professionals, it serves as an indispensable tool for comprehending and applying CWT analysis in academic research, engineering applications, and various technical domains. With its practical code examples and algorithm breakdowns, this guide will become your essential technical reference resource!