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Block-length dependent thresholds for ℓ

机译:ℓ的块长度相关阈值

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摘要

-optimization algorithm appears to be very successful in solving it. The recent work of [3, 6] rigorously proved (in a large dimensional and statistical context) that if the number of equations (measurements in the compressed sensing terminology) in the system is proportional to the length of the unknown vector then there is a sparsity (number of non-zero elements of the unknown vector) also proportional to the length of the unknown vector such that ℓ
机译:优化算法似乎在解决它方面非常成功。文献[3,6]的最新工作严格地证明了(在较大的维度和统计范围内),如果系统中方程的数量(压缩感知术语中的度量)与未知矢量的长度成正比,则存在稀疏度(未知矢量的非零元素的数量)也与未知矢量的长度成比例,因此

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