Continuous Wavelet Transform

The Continuous Wavelet Transform (CWT) is a mathematical method used to analyze signals, like sounds or images, at different scales or resolutions. It works by breaking down a complex signal into smaller, wave-like components called wavelets. These wavelets are stretched or compressed to examine features at various sizes, revealing how the signal's details change over time or frequency. Unlike traditional methods, CWT provides a detailed, multi-scale view, making it useful for detecting patterns, signals, or sudden changes within data. It's widely used in areas like speech processing, image analysis, and scientific research.