Publications
Preprints
Convergence of alternating minimisation algorithms for dictionary learning
S. Ruetz and K. Schnass
arXiv:2304.01768, 2023. [pdf]Non-asymptotic bounds for inclusion probabilities in rejective sampling
S. Ruetz and K. Schnass
arXiv:2212.09391, 2022. [pdf]Adapted variable density subsampling for compressed sensing
S. Ruetz
arXiv:2206.13796, 2022. [pdf]
Journal
Dictionary learning - from local towards global and adaptive
M.C. Pali and K. Schnass
Information and Inference: A Journal of the IMA, 12(3):1295–1346, 2023. [v1pdf] [v2pdf] [toolbox]-
Deep supervised dictionary learning by algorithmic unrolling - application to fast 2D dynamic MR image reconstruction
A. Kofler, M.C. Pali, T. Schaeffter and C. Kolbitsch
Medical Physics, 50(5):2939-2960, 2023. [link] Average performance of OMP and Thresholding under dictionary mismatch
M.C. Pali, S. Ruetz and K. Schnass
IEEE Signal Processing Letters, 29:1077-1081, 2022. [pdf]Submatrices with non-uniformly selected random supports and insights into sparse approximation
S. Ruetz and K. Schnass
SIAM Journal on Matrix Analysis and Applications (SIMAX), 42(3):1268–1289, 2021. [pdf]Adaptive sparsity level and dictionary size estimation for image reconstruction in accelerated 2D radial cine MRI
M.C. Pali, T. Schaeffter, C. Kolbitsch and A. Kofler
Journal of Medical Physics, 48(1):178-192, 2021. [pdf] [editor's choice] [toolbox]Compressed dictionary learning
K. Schnass and F. Teixeira
Journal of Fourier Analysis and Applications 26, Art. Nr. 33, 2020. [pdf] [probox] [toybox]Online and stable learning of analysis operators
M. Sandbichler and K. Schnass
IEEE Transactions on Signal Processing, 67(1):41--53, 2019. [pdf] [toolbox]Average performance of Orthogonal Matching Pursuit (OMP) for sparse approximation
K. Schnass
IEEE Signal Processing Letters (arXiv:1809.06684), 25(12):1865--1869, 2018. [pdf]Fast dictionary learning from incomplete data
V. Naumova and K. Schnass
EURASIP Journal on Advances in Signal Processing, 2018. [pdf] [toolbox]Convergence radius and sample complexity of ITKM algorithms for dictionary learning
K. Schnass
Applied and Computational Harmonic Analysis, 45(1):22–58, 2018. [pdf] [toolbox]
PhD-theses
Compressed sensing and dictionary learning with non-uniform support distribution
S. Ruetz
PhD thesis, University of Innsbruck, 2022. [pdf]Dictionary learning & sparse modelling
M.C. Pali
PhD thesis, University of Innsbruck, 2021. [pdf]
More
Copyright Blabla
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.