| 79. |
S. Dahlke, F. de Mari, E. de Vito, S. Häuser, G. Steidl
and G. Teschke, Different faces of
the shearlet transform, in preparation, 2014. |
|
|
|
||
| 78. |
S. Dahlke, F. De Mari,
E. De Vito, D. Labate, G. Steidl, G. Teschke, and S. Vigogna, Coorbit spaces with voice in a Frechet space,
(submitted 2014)
arXiv:1402.3917 |
78.pdf |
|
|
||
| 77. |
E. Herrholz, D.
Lorenz, G. Teschke and D. Trede, Sparsity
and Compressed Sensing in Inverse Problems, (to appear as book
chapter, 2014) |
77.pdf |
|
|
||
| 76. |
B. Adcock,
A. C. Hansen, B. Roman and G. Teschke, Generalized sampling: stable
reconstructions, inverse problems and compressed sensing over the continuum, In Advances in Imaging and Electron Physics (Vol. 182), 187–279, 2014. |
76.pdf |
|
|
||
| 75. | B. Adcock, A. C. Hansen, E. Herrholz and G. Teschke, Generalized Sampling:
Extension to Frames and Inverse and Ill-Posed Problems, Inverse Problems, 29, 015008, 2013. |
75.pdf |
|
|
||
| 74. | B. Adcock, A. C. Hansen, E. Herrholz and G. Teschke, Generalized
Sampling, infinite-dimensional Compressed Sensing, and semi-random
Sampling for Asymptotically Incoherent Dictionaries,
(submitted) |
74.pdf |
|
|
||
| 73. | S. Dahlke, G. Steidl and G. Teschke, Multivariate Shearlet Transform, Shearlet
Coorbit Spaces and their Structural Properties, In Shearlets,
Multiscale Analysis for Multivariate Data (G. Kutyniok, D. Labate
Eds.), Springer, 2012. |
73.pdf |
|
|
||
| 72. | S. Dahlke, S. Häuser, G. Steidl and G. Teschke, Shearlet Coorbit Spaces: Traces and Embeddings in Higher Dimensions, Monatshefte der Mathematik 169 (2013), 15-32, DOI 10.1007/s00605-012-0408-7. | 72.pdf |
|
|
||
| 71. |
S. Dahlke, S. Häuser and G. Teschke, Coorbit Space Theory for the Toeplitz
Shearlet Transform, accepted for publication in Journal of Mathematical Analysis and
Applications, 2011. |
71.pdf |
|
|
||
| 70. |
S. Dahlke, G. Steidl and G. Teschke, Shearlet Coorbit Spaces: Compactly
Supported Analyzing Shearlets, Traces and Embeddings, Journal of Fourier Analysis and Applications 17(6),
1232-1255, 2011. |
70.pdf |
|
|
||
| 69. |
E. Herrholz and G. Teschke, Compressive sensing principles and iterative sparse recovery for inverse and ill-posed problems, Inverse Problems 26, 125012, 2010. | 69.pdf |
|
|
||
| 68. |
R. Ramlau and G. Teschke, Sparse Recovery in Inverse Problems,
in: Theoretical Foundations and Numerical Methods for Sparse Recovery,
M. Fornasier (Ed), 2010. |
68.pdf |
|
|
||
| 67. |
P. Cerejeiras, M. Ferreira, U.
Kähler, and G. Teschke, Inversion
of the noisy Radon transform on
SO(3) by Gabor frames and sparse recovery principles, Applied
and Computational Harmonic Analysis
31(3), 325-345, 2011. |
67.pdf |
|
|
||
| 66. |
G. Teschke and V. Lehmann, Statistical
Significance of Gabor Frames Expansions - Simple Filtering Principles
for Radar Wind Profiler Data, ECMI 2008, 2010. |
66.pdf |
|
|
||
| 65. |
M. Rätsch, C. Blumer, T. Vetter, and G. Teschke. Efficient Object Tracking by Condentional and Cascaded Image Sensing, Computer Standards & Interfaces 34(6): 549-557, 2012. |
|
|
|
||
| 64. |
M. Rätsch, C. Blumer, G. Teschke, and T. Vetter. 3D Cascaded Condensation Tracking for Multiple Objects, Signal Processing, Pattern Recognition and Application, SPPRA’10, pp 361-368. Innsbruck, Austria. 2010. | 64.pdf |
|
|
||
| 63. |
M. Rätsch, C. Blumer, G. Teschke, and T. Vetter. Coarse-to-fine Particle Filters for Multi-Object Human Computer Interaction, IEEE Intelligent Data Acquisition and Advanced Computing Systems: IDAACS'09, pp 440-445, Rende, Italy. 2009. | 63.pdf |
|
|
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| 62. |
G. Teschke and C. Borries, Accelerated
Projected Steepest Descent Method for Nonlinear Inverse Problems with
Sparsity Constraints, Inverse Problems,
26, 025007 (23pp), 2010. |
62.pdf |
|
|
||
| 61. |
S. Dahlke and G.
Teschke, The continuous shearlet
transform in higher dimensions: Variations of a theme, in Group
Theory: Classes, Representations and
Connections, and Applications (F. Columbus, Ed.), Nova Publishers, 2009. |
61.pdf |
|
|
||
| 60. |
S. Dahlke, I. Daubechies, M. Elad, G. Kutyniok, and G.
Teschke (as Eds.). Structured
Decompositions and Effcient Algorithms, Dagstuhl Seminar Proceedings 08492,
2008. |
|
|
|
||
| 59. |
G. Teschke and V. Lehmann, Statistical
Signifcance of Gabor Frames Expansions - Simple Filtering Principles
for Radar Wind Profiler Data, Proc.
ECMI London, 2008. |
59.pdf |
|
|
||
| 58. |
V. Lehmann and G. Teschke, Radar
wind profiler signal characteristics during bird migration episodes,
Proc. WM-TECO St. Petersburg,
2008. |
58.pdf |
|
|
||
| 57. |
R. Ramlau, G. Teschke and M. Zhariy, A Compressive Landweber Iteration for
Solving Ill-posed Inverse Problems, Inverse Problems, 24(6), 065013,
2008. |
57.pdf |
|
|
||
| 56. |
S. Dahlke, G. Steidl and G. Teschke, The Continuous Shearlet Transform in Arbitrary Space Dimensions, Journal of Fourier Analysis and Applications, 16, 340-354, 2010. | 56.pdf |
|
|
||
| 55. |
S. Dahlke, G. Teschke and K. Stingl, Coorbit theory, multi-alpha-modulation
frames and the concept of joint sparsity for medical multi-channel data
analysis, EURASIP J. Adv.
Signal Proc. ID 471601, 2008. |
55.pdf |
|
|
||
| 54. |
G. Teschke, J. Reichardt, D. Engelbart,Wavelet algorithm for the estimation of
mixing layer heights. Proc.
ILRC Delft, 2008. |
54.pdf |
|
|
||
| 53. |
M. Fornasier, R. Ramlau and G. Teschke, The application of joint sparsity and total
variation minimization algorithms in a real-life art restoration problem,
Advances in Computational Mathematics, 31(1-3),
157-184, 2009. |
53_a.pdf |
|
|
||
| 52. |
S.Dahlke, P. Maass, G. Teschke et. al., Multiscale Approximation in:
"Mathematical Methods in Time Series Analysis and Digital Image
Processing", (R. Dahlhaus, J. Kurths, P. Maass und J. Timmer, Eds.), Springer Series: Understanding
Complex Systems, 75-109, 2008. |
53.pdf |
|
|
||
| 51. |
I. Daubechies, G. Teschke and L. Vese, On some iterative concepts for image
restoration, (invited book chapter) Advances in Imaging and Electron Physics,
150, 1-51, 2008. |
52.pdf |
|
|
||
| 50. | G. Teschke and R. Ramlau, An
Iterative Algorithm for Nonlinear
Inverse Problems with Joint Sparsity Constraints in Vector Valued
Regimes and an Application to Color Image Inpainting, Inverse Problems, 23,
1851-1870, 2007. |
49.pdf |
|
|
||
| 49. | S. Dahlke, G. Kutyniok, G. Steidl and G. Teschke, Shearlet coorbit spaces and associated Banach frames, Applied and Computational Harmonic Analysis, 27(2), 195-214, 2009 | 48.pdf |
|
|
||
| 48. |
V. Lehmann and G. Teschke. Advanced Intermittent Clutter Filtering for Radar Wind Profiler: Signal Separation through a Gabor Frame Expansion and its Statistics, Annales Geophysicae, 26(4), 759-783, 2008. | 47.pdf |
|
|
||
| 47. |
S. Dahlke, D. Lorenz, P. Maass, C. Sagiv and G. Teschke, The Canonical States Associated With
Quotients of the Affine Weyl-Heisenberg Group, Journal of Applied Functional Analysis
3(2), 215-232, 2008. |
46_a.pdf |
|
|
||
| 46. |
S. Dahlke, G. Kutyniok, P.
Maass, C. Sagiv, H.-G. Stark and G. Teschke, The Uncertainty Principle Associated with
the Continuous Shearlet Transform, Journal of Wavelets, Multiresolution and
Information Processing 6(2), 157-181, 2008. |
46.pdf |
|
|
||
| 45. |
S. Dahlke, G. Steidl and G.
Teschke. Frames and Coorbit Theory on
Homogeneous Spaces with a Special Guidance on the Sphere,
Special Issue: Analysis on the Sphere, Journal of Fourier Analysis and
Applications, 13(4), 387-403, 2007. |
45.pdf |
|
|
||
| 44. |
G. Teschke. Frames,
Sparsity, and Nonlinear Inverse
Problems, Oberwolfach Reports,
2006. |
44.pdf |
|
|
||
| 43. |
G. Teschke and U. Görsdorf,
P. Körner and D. Trede. A New
Approach for Target Classification in Ka-Band Radar Data, Proc. ERAD Barcelona, 2006. |
43.pdf |
|
|
||
| 42. |
N. Faustino, U. Kaehler,
and G. Teschke. A Wavelet Galerkin
Scheme for the Navier Stokes Equations, under review, 2006. |
42.pdf |
|
|
||
| 41. |
S. Dahlke, D. Lorenz, P. Maass,
C. Sagiv and G. Teschke. The
Canonical Coherent states associated with Quotients of the Affine
Weyl--Heisenberg Group, Journal
of Applied Functional Analysis 3(2), 215-232, 2008. |
41.pdf |
|
|
||
| 40. |
M. Rätsch, G. Teschke, S.
Romdhani and T. Vetter. Wavelet Frame
Accelerated Reduced Support Vector Machine, IEEE Transactions on Image
Processing, Vol. 17 No. 12, pp 2456-2464, Dec. 2008.. |
40.pdf |
|
|
||
| 39. |
V. Lehmann and G. Teschke. A
new intermittent clutter filtering
algorithm for radar wind profiler, Proc. ISTP Boulder, 2006. |
39.pdf |
|
|
||
| 38. |
G. Teschke. A
new frame-based statistical strategy for bird migration clutter removal
in wind profiler radar data, preprint,
2006. |
38.pdf.gz |
|
|
||
| 37. |
I. Daubechies, G. Teschke and L.
Vese. Iteratively solving linear
inverse problems with general
convex constraints, Inverse
Problems and Imaging, 1(1), 29-46, 2007. |
37.pdf |
|
|
||
| 36. |
G. Teschke. Multi-Frames
in Thresholding Iterations for
Nonlinear Operator Equations with Mixed Sparsity Constraints, DFG-SPP-1114 preprint 131, 2005. |
36.pdf |
|
|
||
| 35. |
R. Ramlau and G. Teschke. A Projection Iteration for Nonlinear
Operator Equations with Sparsity Constraints, Numerische Mathematik, 104,
177-203,
2006. |
35.pdf |
|
|
||
| 34. |
G. Teschke. Multi-Frame Representations in Linear Inverse Problems with Mixed Multi-Constraints, Applied and Computational Harmonic Analysis, 22, 43-60, 2007. | 34.ps.gz |
|
|
||
| 33. |
G. Teschke. Operator
Equations, Mixed
Constraints, Frame-Based
Iterative Concepts and Applications, Habilitation thesis, 2005. |
33.pdf.gz |
|
|
||
| 32. |
Stephan Dahlke, Massimo Fornasier, Holger Rauhut, Gabriele Steidl, Gerd Teschke. Generalized Coorbit Theory, Banach Frames, and the Relations to alpha--Modulation Spaces, Proc. Lond. Math. Soc., 96, 464-506, 2008. | 32.pdf |
|
|
||
| 31. |
M. Rätsch, S. Romdhani, G.
Teschke and T. Vetter. Overcomplete
Wavelet Approximation of a Support Vector Machine for Efficient
Classification, Springer Lecture Notes in Computer Science:
Pattern Recognition: 27th DAGM Symposium, Vienna, Austria,
August 31 - September 2005, Editors: Walter G. Kropatsch, Robert
Sablatnig, Allan Hanbury, p. 351ff. |
31.pdf |
|
|
||
| 30. | M. Holschneider and G. Teschke. Existence and Computation of Optimally Localized Coherent Sates, Journal of Mathematical Physics, 47, (123503) , 2006. | 30.pdf |
|
|
||
| 29. |
R. Ramlau and G. Teschke. Tikhonov
Replacement Functionals for Iteratively Solving Nonlinear Operator
Equations, Inverse Problems,
21, 1571-1592, 2005. |
29.pdf |
|
|
||
| 28. |
M.J. Soares, G. Teschke and M. Zhariy. A Regularization for
Nonlinear Diffusion Equations in a Multiresolution Framework,
Mathematical Methods in Applied
Sciences, 31(5), 609-629, 2008. |
28.pdf |
|
|
||
| 27. |
A. Muschinski, V. Lehmann, L. A. Justen and G. Teschke. Advanced Radar Wind Profiling, Meteorologische Zeitschrift, 14(5), 609-626, 2005. | 27.pdf |
|
|
||
| 26. |
I. Daubechies and G. Teschke. Variational
image restoration by means of wavelets:
simultaneous decomposition, deblurring and denoising, Applied
and Computational Harmonic
Analysis, 19(1), 1-16, 2005. |
26.pdf |
|
|
||
| 25. |
G. Teschke. Construction of Generalized Uncertainty Principles and Wavelets in Bessel Potential Spaces, International Journal of Wavelets, Multiresolution and Information Processing, 3(2), 189-209, 2005. | 25.ps.gz |
|
|
||
| 24. |
M.J. Soares, G. Teschke and M. Zhariy. A Wavelet Regularization for Nonlinear Diffusion Equations, Technical Report 04-12, ISSN 1435-7968, 2004. | 24.pdf |
|
|
||
| 23. |
S. Dahlke, G. Steidl and G. Teschke. Weighted Coorbit Spaces and Banach Frames
on
Homogeneous Spaces, Journal of Fourier
Analysis and
Applications, 10(5), 507-539, 2004. |
23.pdf |
|
|
||
| 22. |
R. Ramlau and G. Teschke. Regularization
of Sobolev Embedding Operators and Applications Part I: Fourier and
Wavelet based Methods, Sampling Theory
in Signal and
Image Processing, 3(2), 175-196,
2004. |
22.ps.gz |
|
|
||
| 21. |
R. Ramlau and G. Teschke. Regularization
of Sobolev Embedding Operators and Applications Part II: Data Driven
Regularization and Applications, Sampling
Theory in
Signal and Image Processing, 3(3), 225-246, 2004. |
21.ps.gz |
|
|
||
| 20. |
S. Dahlke, G. Steidl and G. Teschke. Weighted coorbit spaces and Banach frames on homogeneous spaces, Oberwolfach Reports 1(2), 1383-1386, 2004. | |
|
|
||
| 19. |
S. Dahlke, P. Maass and G. Teschke. Reconstruction of Reflectivity Densities
in a
Narrowband Regime, IEEE Transactions on
Antennas and
Propagation, 52(6), 1603-1606, 2004. |
19.ps.gz |
|
|
||
| 18. |
P. Cerejeiras, S. Dahlke, M.J. Soares, U.
Kaehler, M. Lindemann, G. Teschke, M. Zhariy. A Wavelet Based
Numerical Method for Nonlinear
Elliptic Partial Differential Equations, Proc.
IKM, June 2004. |
18.ps.gz |
|
|
||
| 17. |
P. Cerejeiras, S. Dahlke, M.J. Soares, U.
Kaehler, M. Lindemann, G. Teschke, M. Zhariy. A
Wavelet-Galerkin Scheme for Nonlinear Elliptic Partial
Differential Equations, preprint, 2004. |
17.ps.gz |
|
|
||
| 16. |
S. Dahlke, G. Steidl and G. Teschke. Coorbit Spaces
and Banach
Frames on Homogeneous Spaces with Applications to Analyzing Functions
on Spheres, Advances
in Computational Mathematics,
21(1-2), 147-180, 2004. |
16.pdf |
|
|
||
| 15. |
I. Daubechies and G. Teschke. Wavelet-Based
Image Decompositions by Variational
Functionals, Proc. SPIE Vol. 5266, p. 94-105,
Wavelet Applications in Industrial Processing; Frederic Truchetet; Ed.,
Feb. 2004. |
15.ps.gz |
|
|
||
| 14. |
K. Bredies, D. A. Lorenz, P. Maass and G.
Teschke. A partial
differential equation for
continuous non-linear shrinkage filtering and its application
for analyzing MMG data, Proc. SPIE Vol.
5266,
p. 84-93, Wavelet Applications in Industrial Processing; Frederic
Truchetet;
Ed., Feb. 2004. |
14.ps.gz |
|
|
||
| 13. |
L. A. Justen, G. Teschke and V. Lehmann. Wavelet-based methods for clutter removal
from
radar wind profiler data, Proc. SPIE
Vol. 5266, p.
157-168,
Wavelet Applications in Industrial Processing; Frederic Truchetet; Ed.,
Feb. 2004. |
13.ps.gz |
|
|
||
| 12. |
L. Cruz Martin and G. Teschke. A new method to reconstruct radar reflectivity and
Doppler information, Technical
Report 04-01, ISSN 1435-7968,
2004. |
12.ps.gz |
|
|
||
| 11. |
S. Dahlke, P. Maass and G. Teschke. Interpolating Scaling Functions with Duals, Journal of Computational Analysis and Applications, 6(1), 19-29, 2004. | 11.ps.gz |
|
|
||
| 10. |
S. Dahlke, P. Maass and G. Teschke. Reconstruction of Wideband Reflectivity
Densities
by
Wavelet Transforms, Advances in
Computational
Mathematics 18(2--4), 189-209, 2003. |
10.pdf |
|
|
||
| 9. |
S. Dahlke, V. Lehmann and G. Teschke. Applications of Wavelet Methods to the
Analysis of
Meteorological Radar Data - An Overview,
Invited paper
in Arabian Journal of Science and Engineering
28(1C), 3-44, 2003. |
9.ps.gz |
|
|
||
| 8. |
M. Quante, G. Teschke, M. Zhariy, P. Maass and
K. Sassen. Extraction and
Analysis of
Structural Features in Cloud Radar and Lidar Data Using Wavelet Based
Methods, Proc. ERAD Delft, 2002. |
8.pdf |
|
|
||
| 7. |
V. Lehmann and G. Teschke. Wavelet Based Methods for Improved Wind Profiler
Signal Processing, Annales Geophysicae,
(19)
p825-836, 2001. |
7.ps.gz, 7.pdf |
|
|
||
| 6. |
P. Maass, M. Ende, D. Kayser, W. Osten and G. Teschke. Continuous Wavelet Methods in Signal Processing, Invited paper in: W. Osten, W. Jüptner 4 th International Workshop on Automatic Processing of Fringe Patterns, Elsevier Verlag, ISBN: 2-84299-318-7, Paris, 2001. | 6.ps.gz |
|
|
||
| 5. |
S. Dahlke, P. Maass and G. Teschke. Reconstruction of Reflectivity Densities by Wavelet Transforms, Technical Report 01-10, ISSN 1435-7968, 2001. | 5.ps.gz |
|
|
||
| 4. |
G. Teschke. Waveletkonstruktion
über Unschärferelationen und Anwendungen in der Signalanalyse, PhD thesis,
Bremen, 2001
(won "Bremer
Studienpreis" - Bruker prize). |
4.ps.gz |
| |
|
|
| 3. |
P. Maass, G. Teschke, W. Willmann and G.
Wollmann. Detection and
Classification
of Material Attributes - A Practical Application of Wavelet Analysis, IEEE Transactions on Signal Processing,
48(8),
2432-2438, 2000. |
3.ps.gz, 3.pdf |
|
|
||
| 2. |
V. Lehmann and G. Teschke. Wavelet
Based Methods for Improved Wind Profiler Signal Processing,
In Proc. MST9-COST76, p455-458, Toulouse
2000. |
2.ps.gz, 2.pdf |
|
|
||
| 1. |
G. Teschke. Komplexwertige
Wavelets und Phaseninformation,
Anwendungen in der
Signalanalyse, diploma thesis, Potsdam, 1998. |
1.ps.gz, 1.pdf |
|
|