Applied and Computational Harmonics Analysis

Applied and Computational Harmonic Analysis is a field that focuses on using mathematical tools to analyze and process signals or data—like images, audio, or other complex information. It involves breaking down these signals into basic building blocks, such as waves or frequencies, to understand their structure, filter out noise, or extract meaningful features. This approach combines theoretical mathematics with practical algorithms, enabling efficient data analysis, compression, and pattern recognition across various applications in science, engineering, and technology.