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Signal Reconstruction on GPUs
Description:
This software implements two algorithms on graphical processing units (GPUs), using CUDA platform of NVIDIA.
[1] In compressed sensing, we implemented a simple version of the SpaRSA algorithm described by Wright, Nowak, and Figueiredo, using randomly chosen rows of discrete cosine transform (DCT) matrix as the sensing matrix.
[2] In image denoising/deblurring, we implemented the PDHG algorithm of Zhu and Chen, which solves the Rudin-Osher-Fatemi formulation with total variation regularization.
Link:
http://pages.cs.wisc.edu/~swright/GPUreconstruction/
Software File:
Authors:
Lee, Sangkyun