Haar wavelets

Haar wavelets are a mathematical tool used to analyze signals or images by breaking them down into simple, basic components. They work like a special filter that captures rapid changes or details at different scales, helping to identify patterns or features. Imagine looking at a complex image and being able to scan it quickly to find edges or changes—Haar wavelets do this efficiently. They are especially useful for data compression and noise reduction because they isolate important information while dismissing less relevant details. Overall, they provide a way to simplify and understand complex signals by focusing on their most significant parts.