Mathematical Signal and Image Processing

Adaptive Approximation Algorithms for Sparse Data Representation

(10/2008-10/2014)

Easy-Path Wavelet-Transformation
DFG project within the priority program 1324 ( Mathematical methods for extracting quantifiable information from complex systems ) in cooperation with Armin Iske, University of Hamburg.

We focus on the development and numerical analysis of novel adaptive approximation methods for high-dimensional signal data processing, where our joint research will provide efficient multiscale algorithms relying on modern tools from approximation theory, harmonic analysis, differential geometry, and algebraic topology. Special emphasis is placed on scattered data denoising by using wavelet transforms and on nonlinear dimensionality reduction by manifold learning.

Principal investigator: Gerlind Plonka-Hoch
Staff: Stefanie Tenorth, Dennis Heinen

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