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  • Multiscale_texture_synthesis.zip ... synthesis The Heeger and Bergen SIGGRAPH 95 synthesis algorihtm computes a new texture by matching the histogram of a steerable transform (starting from an initial random noise). It works well for cloud-like texture, and fail to synthesize geometric ...
  • Quincunx_wavelet_transforms.zip Quincunx wavelet transforms Quincunx wavelets are non-separable transform that allows to avoid using vertical/horizontal wavelets. ... to the code of Dimitri Van De Ville. Redundant, translation invariant transform are implemented with the lifting scheme.
  • Steerable_pyramid.zip ... The toolbox contains a simple wrapper to the code of Eero Simoncelli that can be downloaded from http://www.cns.nyu.edu/~eero/STEERPYR/ The steerable transform is an oriented wavelet transform. It allows to analyse an image along several orientations.
  • InterferenceCancellation.zip Interference Cancellation based on Transform Domain Filtering. It is implemented by MATLAB.
  • ldiv.m.zip Calculates inverse Z-transform by long division
  • MODWT-c.zip Maximal Overlap Discrete Wavelet Transformation, implemented in C. Shift invariant transform, useful for application of multiresolution time series analysis. Includes basic Wavelet coefficients Haar, Daubechies, Least Asymmetric.
  • Goertzel_DFT.zip Goertzel DFT implementation in C#. This is Goertzel s style of calculating Discrete Fourier Transform, is a windowed transform similar to STFT. This implementation will need some small modification for your use, but I post because it is rare in C# ...
  • SNU-2.zip Wavelets and JPEG2000: A brief review Beyond wavelets and JPEG2000 My exploration Directional wavelet construction Adaptive wavelet selection Inter-subband transform Outlook
  • MoAT7.1.zip ... Discrete Curvelet Transform. Curvelet Transform has better directional and edge representation abilities than widely used wavelet transform. Inspired by these attractive attributes of curvelets, we introduce the idea of decomposing images into its ...
  • mmsp08_slides.zip Motivation • Texture Features • Curvelet Transform • Experiments and Results • Conclusions and Outlook