• Dictionary learning - from local towards global and adaptive
    M.C. Pali und K. Schnass
    arXiv:1804.07101, 2021. [v1pdf] [v2pdf] [toolbox]

  • Submatrices with non-uniformly selected random supports and insights into sparse approximation
    S. Ruetz and K. Schnass
    accepted to SIAM Journal on Matrix Analysis and Applications (SIMAX), 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]


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