Compressive Sensing is a signal acquisition framework that enables the recovery of sparse or compressible signals from a small set of non-adaptive, linear measurements through optimization techniques that exploit signal sparsity, thereby allowing accurate reconstruction with far fewer samples than required by the Nyquist-Shannon sampling theorem.
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David L. Donoho · IEEE Transactions on Information Theory · 2006 · 23.1K citations
Compressive Sensing [Lecture Notes]
Richard G. Baraniuk · IEEE Signal Processing Magazine · 2007 · 4.2K citations
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