Uniform uncertainty principle for Bernoulli and subgaussian ensembles

Shahar Mendelson, Alain Pajor*, Nicole Tomczak-Jaegermann

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    199 Citations (Scopus)

    Abstract

    The paper considers random matrices with independent subgaussian columns and provides a new elementary proof of the Uniform Uncertainty Principle for such matrices. The Principle was introduced by Candes, Romberg and Tao in 2004; for subgaussian random matrices it was carlier proved by the present authors, as a consequence of a general result based on a generic chaining method of Talagrand. The present proof combines a simple measure concentration and a covering argument, which are standard tools of high-dimensional convexity.

    Original languageEnglish
    Pages (from-to)277-289
    Number of pages13
    JournalConstructive Approximation
    Volume28
    Issue number3
    DOIs
    Publication statusPublished - Dec 2008

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