wavelet decomposition

Wavelet decomposition is a method used to analyze signals or images by breaking them down into simpler components at various scales or resolutions. Imagine zooming in and out on a picture: wavelets allow us to inspect fine details and overall shapes simultaneously. This process helps identify features like edges or patterns that may be hidden in complex data. It's widely used in areas like image compression, noise reduction, and signal analysis, providing a flexible way to understand and process information across different levels of detail without losing important details.