Computational Harmonic Analysis is an area of mathematical analysis that has had a strong impact on many areas of science and engineering as well as in pure mathematics. New developments with a very broad spectrum of applications, such as wavelets, frames, sampling, learning theory, and compressed sensing have found their mathematical home in Computational Harmonic Analysis. This forum for interdisciplinary research is expected to continue for the foreseeable future.

TOPICS:

Topics include, but are not limited to, the following areas:

Compressed sensing
Frame theory
High-dimensional data geometry
Learning theory
Mathematics of imaging
Matrix completion
Multifractals
Novel methods for sampling and sensing networks
Random matrix theory
Time-frequency analysis
Wavelet theory
X-let theory