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Fast Reconstruction with Barrier Projection for Compressively Sensed Image Array

机译:压缩感知图像阵列的屏障投影快速重构

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This paper considers an improved log-barrier algorithm for the signal recovery from compressively sensed image arrays. The improvements include the barrier projection algorithm, the implementation of parallel computation, the conjugate direction method, and the estimation of Hessian matrix inversion in Newton steps. The number of inner and outer iterations are reduced by appropriate space transformation eliminating linear and second-order barriers. Considering a problem of scale N with l and L being the number of log-barrier and Newton steps, the complexity of original log-barrier algorithm, which is O(N2lL), can be reduced to O(N2L) or O(NlL).
机译:本文考虑了一种改进的对数屏障算法,用于从压缩感测图像阵列中恢复信号。改进包括障碍投影算法,并行计算的实现,共轭方向法以及牛顿步长中Hessian矩阵求逆的估计。适当的空间变换减少了线性和二阶障碍,减少了内部和外部迭代的次数。考虑到L和L为对数壁垒和牛顿步数的尺度N问题,可以将原始对数壁垒算法的复杂度O(N2lL)降低为O(N2L)或O(NlL) 。

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