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This paper deals with the 3D reconstruction of sparse data in X-ray rotational imaging. Due to the cardiac motion, the number of available projections for this reconstruction is equal to four, which leads to a strongly under-sampled reconstruction problem. We address thus this illness problem through a regularized iterative method. The whole algorithm is divided into two steps. Firstly, a minimal...
With the development of microelectronics, computer technology, information technology, and intelligent of machinery and control equipment, the flexible manufacturing technique has become one of the key developing directions for advanced manufacturing technology. The cloud manufacturing (CMfg), which is a new generation service-oriented networked manufacturing model, can provide the users distributed...
A neural network approach to computing in real time the noise subspace for the MUSIC bearing estimation algorithm is proposed. The authors show analytically and by simulation results that the proposed neural network is guaranteed to provide the solution arbitrarily close to the accurate noise subspace during an elapsed time of only a few characteristic time constants of the circuit. The key features...
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