Publications

Preprints

 

F. Teixeira and K. Schnass, Compressed dictionary learning, arXiv:1805.00692, 2018. [pdf] [probox] [toybox]

K. Schnass, Dictionary learning - from local towards global and adaptive, arXiv:1804.07101, 2018. [pdf] [toolbox]

Journal

S. Antholzer, C. Wolf, M. Sandbichler, M. Dielacher and M. Haltmeier, Compressive time-of-flight 3D imaging using block-structured sensing matrices, Inverse Problems, 35(4), 2019. [pdf]

M. Sandbichler and K. Schnass, Online and stable learning of analysis operators, IEEE Transactions on Signal Processing, 67(1):41--53, 2019. [pdf] [toolbox]

K. Schnass, Average performance of Orthogonal Matching Pursuit (OMP) for sparse approximation, IEEE Signal Processing Letters (arXiv:1809.06684), 25(12):1865--1869, 2018. [pdf]

V. Naumova and K. Schnass, Fast dictionary learning from incomplete data, EURASIP Journal on Advances in Signal Processing, 2018. [pdf] [toolbox]

M. Haltmeier, M. Sandbichler, T. Berer, J. Bauer-Marschallinger, P. Burgholzer and L. Nguyen, A sparsification and reconstruction strategy for compressed sensing photoacoustic tomography, The Journal of the Acoustical Society of America, 143(6), 2018. [pdf]

K. Schnass, Convergence radius and sample complexity of ITKM algorithms for dictionary learning, Applied and Computational Harmonic Analysis, 45(1):22–58, 2018. [pdf] [toolbox]

Conference

V. Naumova and K. Schnass, Dictionary learning from incomplete data for efficient image restoration, EUSIPCO17. [pdf] [toolbox]

S. Antholzer, C. Wolf, M. Sandbichler, M. Dielacher and M. Haltmeier, Compressive time- of-flight imaging, SampTA17, Tallinn, EE, 2017. [link]

Book Chapter

F. Krahmer, C. Kruschel and M. Sandbichler, Total variation minimization in compressed sensing, In: Boche H., Caire G., Calderbank R., März M., Kutyniok G., Mathar R. (eds) Compressed Sensing and its Applications, Applied and Numerical Harmonic Analysis, pppp 333-358, Birkhäuser, Cham, 2017. [pdf]

Theses

M. Tiefenthaler, Integrating low-rank components into weighted K-SVD for dictionary based inpainting, BSc thesis, University of Innsbruck, 2018. [pdf]

M. Sandbichler, Compressed sensing, sparsity and related topics, PhD thesis, University of Innsbruck, 2018. [pdf]

E. Höck, Hard Thresholding Pursuit for Sparse Approximation, BSc thesis, University of Innsbruck, 2016. [pdf]

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