Albert Cohen (born 29 June 1965 in Paris) is a French mathematician, specializing in approximation theory, numerical analysis, and digital signal processing.
[3] Cohen developed in 1990, with Ingrid Daubechies and Jean-Christophe Feauveau, the first biorthogonal bases for wavelets;[4] this research has an important application in the image compression standard JPEG-2000.
These problems arise in statistical learning theory, in the treatment of parametric and stochastic partial differential equations, and in the development of response surfaces from computer software involving adaptive numerical methods.
In 1995 he won the V. A. Popov Prize in approximation theory from the University of South Carolina and in 2004 the prix Blaise Pascal from the French Academy of Sciences.
[7] In 2013 Cohen was awarded an ERC Advanced Grant for a project called BREAD (Breaking the curse of dimensionality in analysis and simulation ).