Construct · 1 fields · 1 citations

compressive sampling: a standalone construct

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Signal processing

the result that a sparse signal can be recovered exactly from far fewer linear measurements than classical sampling requires, by convex l1 minimization.

In signal processing, compressive sampling refers to the result that a sparse signal can be recovered exactly from far fewer linear measurements than classical sampling requires, by convex l1 minimization. This meaning comes from Candes (2006) in IEEE Transactions on Information Theory.[1]

Unit
Recovery means
Measured by

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Nearby constructs

basis pursuit1 fields · 1 citationsanchor · a standalone construct information4 fields · 5 citationsjingle · one word, four constructs minimization1 fields · 1 citationsanchor · a standalone construct

References

Candes, E. J., Romberg, J., & Tao, T. (2006). Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information. IEEE Transactions on Information Theory, 52(2), 489-509. https://doi.org/10.1109/tit.2005.862083

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