@book{LouisMaassRieder1998,
  author    = {Louis, Alfred K. and Maaß, Peter and Rieder, Andreas},
  title     = {Wavelets : Theorie und Anwendungen},
  publisher = {Vieweg+Teubner Verlag},
  address   = {Wiesbaden},
  isbn      = {3-519-12094-1},
  doi       = {10.1007/978-3-322-80136-4},
  pages     = {330 S.},
  year      = {1998},
  language  = {de}
}
@article{MaassPereverzevRamlauetal.1998,
  author    = {Maaß, Peter and Pereverzev, Sergei V. and Ramlau, Ronny and Solodky, Sergei G.},
  title     = {An adaptive discretization for Tikhonov-Phillips regularization with a posteriori parameter selection},
  series = {Preprint NLD},
  volume    = {48},
  journal   = {Preprint NLD},
  publisher = {Univ. Potsdam},
  address   = {Potsdam},
  issn      = {1432-2935},
  pages     = {19 S.},
  year      = {1998},
  language  = {en}
}
@article{Maass1996,
  author    = {Maaß, Peter},
  title     = {Families of orthogonal 2D wavelets},
  year      = {1996},
  language  = {en}
}
@article{Maass1996,
  author    = {Maaß, Peter},
  title     = {Non-separable orthogonal 2D-wavelets},
  year      = {1996},
  language  = {en}
}
@article{MaassRamlau1996,
  author    = {Maaß, Peter and Ramlau, Ronny},
  title     = {Wavelet accelerated iteration methods for hyperthermia treatment planning},
  year      = {1996},
  language  = {en}
}
@book{MaassRieder1996,
  author    = {Maaß, Peter and Rieder, Andreas},
  title     = {Wavelet-accelerated Tikhonov-Phillips regularization with applications},
  series = {Preprint NLD},
  volume    = {30},
  journal   = {Preprint NLD},
  publisher = {Univ.},
  address   = {Potsdam},
  pages     = {25 S.},
  year      = {1996},
  language  = {en}
}
@unpublished{DickenMaass1995,
  author    = {Dicken, Volker and Maaß, Peter},
  title     = {Wavelet-Galerkin methods for ill-posed problems},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-13890},
  year      = {1995},
  abstract  = {Projection methods based on wavelet functions combine optimal convergence rates with algorithmic efficiency. The proofs in this paper utilize the approximation properties of wavelets and results from the general theory of regularization methods. Moreover, adaptive strategies can be incorporated still leading to optimal convergence rates for the resulting algorithms. The so-called wavelet-vaguelette decompositions enable the realization of especially fast algorithms for certain operators.},
  language  = {en}
}
@article{DahlkeMaass1995,
  author    = {Dahlke, Stephan and Maaß, Peter},
  title     = {The affine uncertainty principle in one and two dimensions},
  year      = {1995},
  language  = {en}
}
@book{DahlkeMaass1994,
  author    = {Dahlke, Stephan and Maaß, Peter},
  title     = {The affine uncertainty principle in one and two dimensions},
  series = {Preprint / Universit{\"a}t Potsdam, Fachbereich Mathematik},
  volume    = {1994, 01},
  journal   = {Preprint / Universit{\"a}t Potsdam, Fachbereich Mathematik},
  publisher = {Univ.},
  address   = {Potsdam},
  pages     = {17 Bl.},
  year      = {1994},
  language  = {en}
}
@book{DahlkeMaass1994,
  author    = {Dahlke, Stephan and Maaß, Peter},
  title     = {A continuous wavelet transform on tangent bundles of spheres},
  series = {Preprint / Universit{\"a}t Potsdam, Institut f{\"u}r Mathematik},
  volume    = {1994, 16},
  journal   = {Preprint / Universit{\"a}t Potsdam, Institut f{\"u}r Mathematik},
  publisher = {Univ.},
  address   = {Potsdam},
  pages     = {18 Bl.},
  year      = {1994},
  language  = {en}
}