207 citations
- U.S. Air Force Institute of TechnologyUS6 papers
- Princeton UniversityUS3 papers
- University of MissouriUS3 papers
- University of OxfordGB3 papers
- École PolytechniqueFR2 papers
- FZU ‒ Institute of Physics of the Academy of Sciences of the Czech RepublicCZ2 papers
- Helmholtz Institute JenaDE2 papers
- Imperial College LondonGB2 papers
- Laboratoire pour l'Utilisation des Lasers IntensesFR2 papers
- Queen's University BelfastGB2 papers
- Rutherford Appleton LaboratoryGB2 papers
- Technische Universität DarmstadtDE2 papers
5 papers · 1 filter
Group-theoretic constructions of erasure-robust frames
Matthew Fickus, John Jasper, Dustin G. Mixon +1
In the field of compressed sensing, a key problem remains open: to explicitly construct matrices with the restricted isometry property (RIP) whose performance rivals those generate…
PT-Symmetric Talbot Effects
Hamidreza Ramezani, D. N. Christodoulides, V. Kovanis +2
We show that complex PT-symmetric photonic lattices can lead to a new class of self-imaging Talbot effects. For this to occur, we find that the input field pattern, has to respect…
Practical Context Awareness: Measuring and Utilizing the Context Dependency of Mobile Usage
Ahmad Rahmati, Clayton Shepard, Chad Tossell +2
Context information brings new opportunities for efficient and effective applications and services on mobile devices. A wide range of research has exploited context dependency, i.e…
A structural model of emotions of cognitive dissonances
Jose F. Fontanari, Marie-Claude Bonniot-Cabanac, Michel Cabanac +1
Cognitive dissonance is the stress that comes from holding two conflicting thoughts simultaneously in the mind, usually arising when people are asked to choose between two detrimen…
The road to deterministic matrices with the restricted isometry property
Afonso S. Bandeira, Matthew Fickus, Dustin G. Mixon +1
The restricted isometry property (RIP) is a well-known matrix condition that provides state-of-the-art reconstruction guarantees for compressed sensing. While random matrices are k…