Mallat's algorithm

Mallat's algorithm is a method used in signal processing to analyze and decompose signals, such as audio or images, into simpler components. It applies a mathematical technique called wavelet transform, which breaks down a signal into both its frequency and time characteristics. This allows for efficient representation and manipulation of data, making it easier to identify patterns, compress information, or detect anomalies. The algorithm works by applying filters that help capture different levels of detail, enabling researchers and engineers to work with complex data more effectively while retaining important information.