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20102026
most citedCertifying the restricted isometry property is hard

166 citations · 655 across the 82 of their papers we have counts for

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Showing 2011 · math.FAShow all

7 papers · 2 filters

math.FA2011

Full Spark Frames

Boris Alexeev, Jameson Cahill, Dustin G. Mixon

Finite frame theory has a number of real-world applications. In applications like sparse signal processing, data transmission with robustness to erasures, and reconstruction withou…

math.FA2011★ 2 cited

Constructing all self-adjoint matrices with prescribed spectrum and diagonal

Matthew Fickus, Dustin G. Mixon, Miriam J. Poteet +1

The Schur-Horn Theorem states that there exists a self-adjoint matrix with a given spectrum and diagonal if and only if the spectrum majorizes the diagonal. Though the original pro…

math.FA2011★ 36 cited

Frame completions for optimally robust reconstruction

Matthew Fickus, Dustin G. Mixon, Miriam J. Poteet

In information fusion, one is often confronted with the following problem: given a preexisting set of measurements about an unknown quantity, what new measurements should one colle…

math.FA2011

Constructing finite frames of a given spectrum and set of lengths

Jameson Cahill, Matthew Fickus, Dustin G. Mixon +2

When constructing finite frames for a given application, the most important consideration is the spectrum of the frame operator. Indeed, the minimum and maximum eigenvalues of the…

math.FA2011★ 7 cited

Frame Coherence and Sparse Signal Processing

Dustin G. Mixon, Waheed U. Bajwa, Robert Calderbank

The sparse signal processing literature often uses random sensing matrices to obtain performance guarantees. Unfortunately, in the real world, sensing matrices do not always come f…

math.FA2011

Every Hilbert space frame has a Naimark complement

Peter G. Casazza, Matt Fickus, Dustin Mixon +2

Naimark complements for Hilbert space Parseval frames are one of the most fundamental and useful results in the field of frame theory. We will show that actually all Hilbert space…