Daubechies wavelets

Daubechies wavelets are mathematical tools used for signal processing, image compression, and data analysis. They allow us to break down complex signals into simpler parts by analyzing them at different scales. This multi-resolution approach captures both details and overall trends effectively, making Daubechies wavelets particularly useful in applications like JPEG 2000 image compression and audio processing. Named after mathematician Ingrid Daubechies, these wavelets are characterized by their ability to retain important information while reducing data size, making them valuable in various fields including computer science, engineering, and applied mathematics.