1990 - Daubechies wavelets are a family of compactly supported orthonormal wavelets widely used in signal processing and data analysis.

* Daubechies’ research involves the use of automatic methods from both mathematics, technology, and biology to extract information from samples such as bones and teeth * Construction of compactly supported continuous wavelets that would require only a finite amount of processing * With this, enabling wavelet theory to enter the realm of digital signal processing *Developed image processing technology used to establish the age & authenticity of some of the world's most famous works of art * Worked on the team restoring the Ghent Altarpiece by Hubert & Jan van Eyck * Used machine-learning algorithms to separate features in art restoration.

A/D conversion through dithering

Category:
Digital Signal Processing

Completion Status:
done

Patent Number:
6331831

Co-Inventor:
Zoran Cvetkovic