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20072026
most citedGlobal Optimality in Low-rank Matrix Optimization

128 citations · 738 across the 58 of their papers we have counts for

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Showing 2017 · cs.ITShow all

6 papers · 2 filters

cs.IT2017★ 7 cited

ROAST: Rapid Orthogonal Approximate Slepian Transform

Zhihui Zhu, Santhosh Karnik, Michael B. Wakin +2

In this paper, we provide a Rapid Orthogonal Approximate Slepian Transform (ROAST) for the discrete vector that one obtains when collecting a finite set of uniform samples from a b…

cs.IT2017★ 3 cited

Time-Limited Toeplitz Operators on Abelian Groups: Applications in Information Theory and Subspace Approximation

Zhihui Zhu, Michael B. Wakin

Toeplitz operators are fundamental and ubiquitous in signal processing and information theory as models for linear, time-invariant (LTI) systems. Due to the fact that any practical…

cs.IT2017★ 21 cited

The Eigenvalue Distribution of Discrete Periodic Time-Frequency Limiting Operators

Zhihui Zhu, Santhosh Karnik, Mark A. Davenport +2

Bandlimiting and timelimiting operators play a fundamental role in analyzing bandlimited signals that are approximately timelimited (or vice versa). In this paper, we consider a ti…

cs.IT2017★ 29 cited

The Global Optimization Geometry of Low-Rank Matrix Optimization

Zhihui Zhu, Qiuwei Li, Gongguo Tang +1

This paper considers general rank-constrained optimization problems that minimize a general objective function over the set of rectangular matrices that have ran…

cs.IT2017★ 76 cited

Atomic Norm Minimization for Modal Analysis from Random and Compressed Samples

Shuang Li, Dehui Yang, Gongguo Tang +1

Modal analysis is the process of estimating a system's modal parameters such as its natural frequencies and mode shapes. One application of modal analysis is in structural health m…

cs.IT2017★ 128 cited

Global Optimality in Low-rank Matrix Optimization

Zhihui Zhu, Qiuwei Li, Gongguo Tang +1

This paper considers the minimization of a general objective function over the set of rectangular matrices that have rank at most . To reduce the computationa…