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Candès, Romberg and Tao: robust uncertainty principles for sparse recovery

Established conditions under which a sparse signal can be recovered exactly from a limited set of Fourier measurements through convex optimization, with probabilistic guarantees for sampled frequencies.

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Established conditions under which a sparse signal can be recovered exactly from a limited set of Fourier measurements through convex optimization, with probabilistic guarantees for sampled frequencies.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

The record is the exact 2006 IEEE paper. Donoho’s independent compressed-sensing formulation, basis pursuit antecedents, later restricted-isometry theory, noisy recovery and application-specific algorithms remain separate.

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People and systems

Emmanuel J. Candès; Justin K. Romberg; Terence Tao

The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.

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Documented countries / regions: United States

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English catalogue narrative

Candès, Romberg and Tao: robust uncertainty principles for sparse recovery

Established conditions under which a sparse signal can be recovered exactly from a limited set of Fourier measurements through convex optimization, with probabilistic guarantees for sampled frequencies.

Scientific scope

The record is the exact 2006 IEEE paper. Donoho’s independent compressed-sensing formulation, basis pursuit antecedents, later restricted-isometry theory, noisy recovery and application-specific algorithms remain separate.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Emmanuel J. Candès; Justin K. Romberg; Terence Tao

The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.

Original sources