Daubechies

Daubechies refers to a family of mathematical functions called wavelets, developed by Ingrid Daubechies. These wavelets are used in signal processing to analyze complex data, like images or audio, at different resolutions. They help identify important features by breaking signals into simpler components, making tasks such as compression and noise reduction more effective. The strength of Daubechies wavelets lies in their ability to provide efficient, detailed analysis with minimal data, contributing to technologies like digital image formats and audio compression, where clear quality is maintained with less storage.