Parallel Implementation of Compressive Sensing Based SAR Imaging with GPU
School of Electronic and Information Engineering, Beihang University
Journal of Convergence Information Technology (JCIT), Vol. 6, No. 12, pp. 122 – 128, 2011
The paper proposed a new scheme for parallel implementation of compressive sensing based SAR imaging on GPU with Iterative Shrinkage/Thresholding algorithm. To get a faster recovery speed, we modified the existed IST algorithm structure, and realized the fast implementation on GPU. The experiment result shows that parallel computing capabilities of GPU have a significant speedup in comparison with computing capability of CPU.
January 4, 2012 by hgpu
