Gerd Teschke

21 papers Journal 14Unranked 4
YearRankTypeTitle / Venue / Authors
2019 J jnl
Traces of shearlet coorbit spaces on domains.
Appl. Math. Lett.
Stephan Dahlke, Q. Jahan, Cornelia Schneider, Gabriele Steidl, Gerd Teschke
2015 — ch.
Shearlet Coorbit Theory.
Harmonic and Applied Analysis
Stephan Dahlke, Sören Häuser, Gabriele Steidl, Gerd Teschke
2013 J jnl
Generalized sampling: stable reconstructions, inverse problems and compressed sensing over the continuum.
CoRR
Ben Adcock, Anders C. Hansen, Bogdan Roman, Gerd Teschke
2012 J jnl
Coorbit Space Theory for the Toeplitz Shearlet Transform.
Int. J. Wavelets Multiresolution Inf. Process.
Stephan Dahlke, Sören Häuser, Gerd Teschke
2012 J jnl
Efficient object tracking by condentional and cascaded image sensing.
Comput. Stand. Interfaces
Matthias Rätsch, Clemens Blumer, Thomas Vetter, Gerd Teschke
2011 J jnl
Sparse Representations and Efficient Sensing of Data (Dagstuhl Seminar 11051).
Dagstuhl Reports
Stephan Dahlke, Michael Elad, Yonina C. Eldar, Gitta Kutyniok, Gerd Teschke
2009 J jnl
The application of joint sparsity and total variation minimization algorithms to a real-life art restoration problem.
Adv. Comput. Math.
Massimo Fornasier, Ronny Ramlau, Gerd Teschke
2008 — conf
08492 Abstracts Collection - Structured Decompositions and Efficient Algorithms.
Structured Decompositions and Efficient Algorithms
Stephan Dahlke, Ingrid Daubechies, Michael Elad, Gitta Kutyniok, Gerd Teschke
2008 — conf
08492 Executive Summary - Structured Decompositions and Efficient Algorithms.
Structured Decompositions and Efficient Algorithms
Stephan Dahlke, Ingrid Daubechies, Michael Elad, Gitta Kutyniok, Gerd Teschke
2008 J jnl
Coorbit Theory, Multi-α-Modulation Frames, and the Concept of Joint Sparsity for Medical Multichannel Data Analysis.
EURASIP J. Adv. Signal Process.
Stephan Dahlke, Gerd Teschke, Krunoslav Stingl
2008 — ed.
Structured Decompositions and Efficient Algorithms, 30.11. - 05.12.2008
Structured Decompositions and Efficient Algorithms
Stephan Dahlke, Ingrid Daubechies, Michael Elad, Gitta Kutyniok, Gerd Teschke
2008 — conf
The Continuous Shearlet Transform in Arbitrary Space Dimensions.
Structured Decompositions and Efficient Algorithms
Stephan Dahlke, Gabriele Steidl, Gerd Teschke
2008 J jnl
The Uncertainty Principle Associated with the Continuous Shearlet Transform.
Int. J. Wavelets Multiresolution Inf. Process.
Stephan Dahlke, Gitta Kutyniok, Peter Maass, Chen Sagiv, Hans-Georg Stark, Gerd Teschke
2008 J jnl
Wavelet Frame Accelerated Reduced Support Vector Machines.
IEEE Trans. Image Process.
Matthias Rätsch, Gerd Teschke, Sami Romdhani, Thomas Vetter
2006 J jnl
A Tikhonov-based projection iteration for nonlinear Ill-posed problems with sparsity constraints.
Numerische Mathematik
Ronny Ramlau, Gerd Teschke
2005 J jnl
Construction of Generalized Uncertainty Principles and Wavelets in Anisotropic Sobolev Spaces.
Int. J. Wavelets Multiresolution Inf. Process.
Gerd Teschke
2005 — conf
Over-Complete Wavelet Approximation of a Support Vector Machine for Efficient Classification.
DAGM-Symposium
Matthias Rätsch, Sami Romdhani, Gerd Teschke, Thomas Vetter
2004 J jnl
Coorbit Spaces and Banach Frames on Homogeneous Spaces with Applications to the Sphere.
Adv. Comput. Math.
Stephan Dahlke, Gabriele Steidl, Gerd Teschke
2003 J jnl
Reconstruction of Wideband Reflectivity Densities by Wavelet Transforms.
Adv. Comput. Math.
Stephan Dahlke, Peter Maass, Gerd Teschke
2001 — —
Waveletkonstruktion über Unschärferelationen und Anwendungen in der Signalanalyse.
Gerd Teschke
2000 J jnl
Detection and classification of material attributes-a practical application of wavelet analysis.
IEEE Trans. Signal Process.
Peter Maass, Gerd Teschke, Werner Willmann, Günter Wollmann