wavelet theory

Wavelet theory involves analyzing signals or data by breaking them down into smaller, often more manageable pieces called wavelets. Unlike traditional methods that examine data at a single scale, wavelets allow us to investigate patterns at multiple levels of detail simultaneously. This makes them powerful for tasks like image compression, noise reduction, and signal processing. Essentially, wavelets act like adaptable "lens" filters that can zoom in on fine details or provide an overall overview, helping us understand and manipulate complex data more effectively across various fields.