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首页> 外文期刊>International Journal of Wavelets, Multiresolution and Information Processing >A perturbation analysis of block-sparse compressed sensing via mixed l(2)/l(1) minimization
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A perturbation analysis of block-sparse compressed sensing via mixed l(2)/l(1) minimization

机译:通过混合l(2)/ l(1)最小化对块稀疏压缩感知进行扰动分析

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摘要

In this paper, the recovery of block-sparse signals is considered by the completely perturbed mixed l(2)/l(1) minimization method and a sufficient condition is established to guarantee the robust recovery. The obtained result generalizes the existing result on complete perturbation to the block setting. Specially, we not only improve the condition related to block-restricted isometry property, but also better the error upper bound if the result degenerates to the general case. In addition, some numerical experiments are also carried out to demonstrate the block structure which is an important factor in the process of recovering block-sparse signals, and present outperformance of the mixed l(2)/l(1) minimization method comparing with the l(1) minimization method in the completely perturbed model.
机译:在本文中,通过完全扰动的混合l(2)/ l(1)最小化方法来考虑块稀疏信号的恢复,并建立了充分的条件来保证鲁棒的恢复。所获得的结果将完全扰动的现有结果推广到块设置。特别地,我们不仅改善了与块受限等距特性有关的条件,而且如果结果退化为一般​​情况,则还可以改善误差上限。此外,还进行了一些数值实验,以证明块结构是恢复块稀疏信号过程中的重要因素,并给出了混合l(2)/ l(1)最小化方法与非最小化方法相比的优越性能。完全扰动模型中的l(1)最小化方法。

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