Software

Easy Path Wavelet Transform (EPWT)Wavelet shrinkage on paths for denoising of scattered data including an adaptive deterministic and an adaptive random path construction. Dennis Heinen, Gerlind Plonka, Stefanie Tenorth | |

Region Based Easy Path Wavelet Transform (RBEPWT)A Region Based EPWT-like method for Sparse Image Representation Renato Budinich | |

pyShearLab - A Python 2D Shearlet ToolboxA Python toolbox for the two-dimensional discrete shearlet transform based on ShearLab3D. Stefan Loock | |

PRwSC - A Toolbox for Phase Retrieval with Sparsity ConstraintsA toolbox for Matlab and Python (pyPRwSC) for the reconstruction of images from phase retrieval data using sparsity constraints. Stefan Loock | |

Tetrolet TransformA New Adaptive Haar Wavelet Algorithm for Sparse Image Representation. Jens Krommweh | |

Sparse FFT (small support)A new deterministic sparse FFT algorithm for vectors with small support. Katrin Wannenwetsch, Gerlind Plonka | |

Sparse FFT (real non-negative)A new deterministic sparse FFT algorithm for real non-negative vectors. Katrin Wannenwetsch, Gerlind Plonka | |

Sparse FFT for Functions with Short Frequency SupportA deterministic sparse FFT algorithm for functions with short frequency support. Sina Bittens | |

FAST - A Deterministic Sparse FFT for Functions with Structured Fourier SparsityA deterministic sparse FFT algorithm (FAST) for functions with block-structured Fourier sparsity, implemented in C++. Sina Bittens, Ruochuan Zhang, Mark Iwen | |

A Deterministic Sparse FFT for Functions with Structured Fourier SparsityA deterministic sparse FFT algorithm for functions with block-structured (FAST) and polynomially structured Fourier sparsity, implemented in MATLAB. Sina Bittens, Ruochuan Zhang, Mark Iwen | |

Deterministic Sparse FFTDeterministic sparse FFT for M-sparse vectors, implemented in MATLAB. Gerlind Plonka, Katrin Wannenwetsch | |

Sparse Fast DCT for Vectors with One-block SupportSparse fast DCT algorithm for vectors with one-block support, implemented in MATLAB and Python. Sina Bittens, Gerlind Plonka | |

Sparse FFT for Vectors with Reflected Two-block SupportSparse FFT algorithm for vectors with reflected two-block support, implemented in MATLAB and Python. Sina Bittens, Gerlind Plonka | |

Real Sparse DCT for Vectors with Short SupportReal sparse DCT algorithm for vectors with short support, implemented in MATLAB and Python. Sina Bittens, Gerlind Plonka | |

Alternative SFFT for Functions with Short Frequency SupportAn alternative deterministic sparse FFT for functions with short frequency support, implemented in MATLAB. Sina Bittens | |

Deterministic Sparse Sublinear FFT with Improved Numerical StabilityDeterministic sparse sublinear FFT for M-sparse vectors with improved numerical stability, implemented in Python. Gerlind Plonka, Therese von Wulffen | |

Exact Reconstruction of Sparse Non-Harmonic Signals from Fourier CoefficientsExact Reconstruction of Sparse Non-Harmonic Signals from Fourier Coefficients, implemented in MATLAB. Markus Petz, Gerlind Plonka, Nadiia Derevianko |

Research Group for Mathematical Signal and Image Processing

Institute for Numerical and Applied Mathematics

Lotzestr. 16-18

37083 Göttingen