Mallat Algorithm

The Mallat algorithm, developed by Stéphane Mallat, is a method used in signal processing, particularly in the analysis of signals using wavelets. It decomposes a signal into different frequency components, allowing us to represent and analyze the signal's details at various scales. Essentially, it provides a way to break down complex data into simpler parts, enabling better understanding and manipulation of the information contained within the signal. This technique is widely applied in areas such as image compression, audio processing, and even in medical imaging, helping to improve the clarity and efficiency of data analysis.