Yves Meyer (French), Ingrid Daubechies (Belgian and American), Terence Tao (Australian and American), and Emmanuel Candès (French) have made immeasurable, ground-breaking contributions to modern theories and techniques of mathematical data and signal processing. These constitute the foundations and backbone of the digital age (by enabling the compression of graphic files with little loss of resolution), of medical imaging and diagnosis (by enabling accurate images to be reconstructed from a small number of data) and of engineering and scientific research (by eliminating interference and background noise). As regards this last point, these techniques serve as the key, for example, to the deconvolution of Hubble Space Telescope images and have been crucial in the detection by LIGO of gravitational waves resulting from the collision of two black holes. The outstanding contributions of these world leaders in mathematics to modern mathematical data and signal processing are essentially based on two different yet complementary tools: wavelets and compressed sensing or matrix completion.

 

The Princess of Asturias Foundation convenes the Princess of Asturias Awards, which are presented at an academic ceremony held each year in Oviedo, capital of the Principality of Asturias. The Foundation’s aims are to contribute to extolling and promoting those scientific, cultural and humanistic values that form part of the universal heritage of humanity and to consolidate the existing links between the Principality of Asturias and the title traditionally held by the heirs to the Crown of Spain.

 

Source from:

https://www.fpa.es/en/princess-of-asturias-awards/laureates/2020-yves-meyer-ingrid-daubechies-terence-tao-and-emmanuel-candes.html?especifica=0