Haar wavelet

A Haar wavelet is a mathematical tool used to analyze signals or images by breaking them down into simple, localized components. It works like a fast, efficient filter that captures sharp changes or differences within data. By dividing a signal into averages and differences at various scales, the Haar wavelet helps identify where and how the data varies, making it useful for tasks like compression, noise reduction, or feature detection. Its straightforward structure makes it computationally efficient, especially for analyzing sudden changes, edges, or patterns in diverse types of data.