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20132018
most citedEuclidean Distance Matrices: Essential Theory, Algorithms and Applications

619 citations · 936 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IT2018★ 20 cited

Super Resolution Phase Retrieval for Sparse Signals

Gilles Baechler, Miranda Kreković, Juri Ranieri +3

In a variety of fields, in particular those involving imaging and optics, we often measure signals whose phase is missing or has been irremediably distorted. Phase retrieval attemp…

cs.OH2015★ 619 cited

Euclidean Distance Matrices: Essential Theory, Algorithms and Applications

Ivan Dokmanic, Reza Parhizkar, Juri Ranieri +1

Euclidean distance matrices (EDM) are matrices of squared distances between points. The definition is deceivingly simple: thanks to their many useful properties they have found app…

cs.IT2014★ 2 cited

DASS: Distributed Adaptive Sparse Sensing

Zichong Chen, Juri Ranieri, Runwei Zhang +1

Wireless sensor networks are often designed to perform two tasks: sensing a physical field and transmitting the data to end-users. A crucial aspect of the design of a WSN is the mi…

cs.IT2013★ 57 cited

Phase Retrieval for Sparse Signals: Uniqueness Conditions

Juri Ranieri, Amina Chebira, Yue M. Lu +1

In a variety of fields, in particular those involving imaging and optics, we often measure signals whose phase is missing or has been irremediably distorted. Phase retrieval attemp…

cs.IT2013★ 238 cited

Near-Optimal Sensor Placement for Linear Inverse Problems

Juri Ranieri, Amina Chebira, Martin Vetterli

A classic problem is the estimation of a set of parameters from measurements collected by only a few sensors. The number of sensors is often limited by physical or economical const…