Sparsity and incoherence in compressive sampling

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Candès, Emmanuel, and Justin Romberg. “Sparsity and Incoherence in Compressive Sampling”. Inverse Problems, vol. 23, no. 3, 2007, pp. 969-85, https://doi.org/10.1088/0266-5611/23/3/008.
Candès, E., & Romberg, J. (2007). Sparsity and incoherence in compressive sampling. Inverse Problems, 23(3), 969-985. https://doi.org/10.1088/0266-5611/23/3/008
Candès E, Romberg J. Sparsity and incoherence in compressive sampling. Inverse Problems. 2007;23(3):969-85.
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Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks352
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Science: Mathematics: Instruments and machines: Electronic computers. Computer science205
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The category Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks 352 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Compressive Sampling via Random Convolution and was published in 2007. The most recent citation comes from a 2024 study titled Imaging 3D chemistry at 1 nm resolution with fused multi-modal electron tomography. This article reached its peak citation in 2018, with 87 citations. It has been cited in 387 different journals, 17% of which are open access. Among related journals, the IEEE Transactions on Signal Processing cited this research the most, with 34 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year