activity
19982025
most citedUncertainty Principles and Vector Quantization

80 citations · 602 across the 56 of their papers we have counts for

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16 papers · 1 filter

math.FA2010

Non-asymptotic theory of random matrices: extreme singular values

Mark Rudelson, Roman Vershynin

The classical random matrix theory is mostly focused on asymptotic spectral properties of random matrices as their dimensions grow to infinity. At the same time many recent applica…

math.FA2006★ 2 cited

Random sets of isomorphism of linear operators on Hilbert space

Roman Vershynin

This note deals with a problem of the probabilistic Ramsey theory in functional analysis. Given a linear operator on a Hilbert space with an orthogonal basis, we define the iso…

math.FA2005★ 5 cited

Sampling from large matrices: an approach through geometric functional analysis

Mark Rudelson, Roman Vershynin

We study random submatrices of a large matrix A. We show how to approximately compute A from its random submatrix of the smallest possible size O(r log r) with a small error in the…

math.FA2005★ 20 cited

Geometric approach to error correcting codes and reconstruction of signals

Mark Rudelson, Roman Vershynin

We develop an approach through geometric functional analysis to error correcting codes and to reconstruction of signals from few linear measurements. An error correcting code encod…

math.FA2004★ 1 cited

Small ball probability and Dvoretzky theorem

Bo'az Klartag, Roman Vershynin

Large deviation estimates are by now a standard tool inthe Asymptotic Convex Geometry, contrary to small deviationresults. In this note we present a novel application of a smalldev…

math.FA2004

Frame expansions with erasures: an approach through the non-commutative operator theory

Roman Vershynin

In modern communication systems such as the Internet, random losses of information can be mitigated by oversampling the source. This is equivalent to expanding the source using ove…