The research of the Numerical Harmonic Analysis Group (NuHAG) is devoted to applied, computational, and abstract harmonic analysis in its manifold manifestations. An important feature of the group is the unity of theory and applications of harmonic analysis. Founded in 1992 by Hans G. Feichtinger, the original topics were the theory and practice of non-uniform sampling and time-frequency analysis. With the increase of the group the mathematical research has expanded to several contemporary directions of mathematical signal and data processing. Topics now include:

  • Music information processing
  • Dimensionality reduction and numerical harmonic analysis of high-dimensional (biomedical) data
  • Deep learning
  • Numerical solvers of very high-dimensional problems
  • Time-frequency analysis and sampling theory
  • Wavelet theory and subdivision algorithms

Currently the group consists of four permanent (tenured)  members, three non-tenured members, and several  postdocs and Ph.D. students.