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20142022
most citedEuclidean Distance Matrices: Essential Theory, Algorithms and Applications

619 citations · 1.4k across the 27 of their papers we have counts for

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Showing 2018Show all

9 papers · 1 filter

cs.IT2018★ 22 cited

Permutations Unlabeled beyond Sampling Unknown

Ivan Dokmanić

A recent unlabeled sampling result by Unnikrishnan, Haghighatshoar and Vetterli states that with probability one over iid Gaussian matrices , any can be uniquely recovered f…

eess.SP2018

Geometric Invariants for Sparse Unknown View Tomography

Mona Zehni, Shuai Huang, Ivan Dokmanić +1

In this paper, we study a 2D tomography problem for point source models with random unknown view angles. Rather than recovering the projection angles, we reconstruct the model thro…

math.ST2018

Concentration of the Frobenius norm of generalized matrix inverses

Ivan Dokmanić, Rémi Gribonval

In many applications it is useful to replace the Moore-Penrose pseudoinverse (MPP) by a different generalized inverse with more favorable properties. We may want, for example, to h…

eess.AS2018

Multipath-enabled private audio with noise

Anadi Chaman, Yu-Jeh Liu, Jonah Casebeer +1

We address the problem of privately communicating audio messages to multiple listeners in a reverberant room using a set of loudspeakers. We propose two methods based on emitting n…

eess.SP2018

Kinetic Euclidean Distance Matrices

Puoya Tabaghi, Ivan Dokmanić, Martin Vetterli

Euclidean distance matrices (EDMs) are a major tool for localization from distances, with applications ranging from protein structure determination to global positioning and manifo…

cs.SD2018

Cocktails, but no party: multipath-enabled private audio

Yu-Jeh Liu, Jonah Casebeer, Ivan Dokmanić

We describe a private audio messaging system that uses echoes to unscramble messages at a few predetermined locations in a room. The system works by splitting the audio into short…