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In this paper, the computational spectral imaging system is reexamined, and the most time-consuming module, namely the two-step iterative shrinkage/thresholding (TwIST) reconstruction, is accelerated by GPU. The acceleration can be roughly divided into two level: 1) data parallelization and 2)operation parallelization. Data parallelization: by discovering that the observation data array in computational...
Conventional sparse representation (SR)-based direction-of-arrival (DOA) estimation algorithms suffer from high computational complexity. To be specific, a wide angular range and a large-scale array will enlarge the scale of the spatial observation matrix, which results in huge computation cost for DOA estimation. In this letter, a new efficient DOA estimation algorithm based on the separable sparse...
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