128 citations · 738 across the 58 of their papers we have counts for
5 papers · 2 filters
Concentration of Measure Inequalities for Toeplitz Matrices with Applications
Borhan M. Sanandaji, Tyrone L. Vincent, Michael B. Wakin
We derive Concentration of Measure (CoM) inequalities for randomized Toeplitz matrices. These inequalities show that the norm of a high-dimensional signal mapped by a Toeplitz matr…
Recovering a Clipped Signal in Sparseland
Alejandro J. Weinstein, Michael B. Wakin
In many data acquisition systems it is common to observe signals whose amplitudes have been clipped. We present two new algorithms for recovering a clipped signal by leveraging the…
Compressive Sensing of Analog Signals Using Discrete Prolate Spheroidal Sequences
Mark A. Davenport, Michael B. Wakin
Compressive sensing (CS) has recently emerged as a framework for efficiently capturing signals that are sparse or compressible in an appropriate basis. While often motivated as an…
Measurement Bounds for Sparse Signal Ensembles via Graphical Models
Marco F. Duarte, Michael B. Wakin, Dror Baron +2
In compressive sensing, a small collection of linear projections of a sparse signal contains enough information to permit signal recovery. Distributed compressive sensing (DCS) ext…
Matched Filtering from Limited Frequency Samples
Armin Eftekhari, Justin Romberg, Michael B. Wakin
In this paper, we study a simple correlation-based strategy for estimating the unknown delay and amplitude of a signal based on a small number of noisy, randomly chosen frequency-d…