CWT (Continuous Wavelet Transform)

The Continuous Wavelet Transform (CWT) is a mathematical tool used to analyze signals and data. It breaks down a signal into smaller, localized components called wavelets, which can capture details at various scales. Unlike traditional methods that focus on frequency, CWT provides information about how these frequencies change over time. This makes it especially useful in fields like audio processing, image analysis, and even neuroscience, where understanding variations and patterns is crucial. By visualizing data in a time-frequency representation, CWT helps reveal insights that might be missed with other analytical techniques.