On the Best Choice of Lasso Program Given Data Parameters

IEEE Transactions on Information Theory（2022）

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摘要

Compressed sensing (CS) is a paradigm in which a structured high-dimensional signal may be recovered from random, under-determined, and corrupted linear measurements. Lasso programs are effective for solving CS problems due to their proven ability to leverage underlying signal structure. Three popular Lasso programs are equivalent in a sense and sometimes used interchangeably. Tuned by a governing...

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关键词

Sensitivity,Geophysical measurements,Sensors,Numerical models,Fasteners,Convex functions,Compressed sensing

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