Journal Article

Model-based compressive sensing

IEEE Transactions on Information Theory (2010) 56(4) 1982-2001
DOI: 10.1109/TIT.2010.2040894
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Abstract

Compressive sensing (CS) is an alternative to Shannon/Nyquist sampling for the acquisition of sparse or compressible signals that can be well approximated by just K≪ll N elements from an N-dimensional basis. Instead of taking periodic samples, CS measures inner products with M

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Baraniuk, R. G., Cevher, V., Duarte, M. F., & Hegde, C. (2010). Model-based compressive sensing. IEEE Transactions on Information Theory, 56(4), 1982–2001. https://doi.org/10.1109/TIT.2010.2040894

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