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The Category of Anyon Sectors for Non-Abelian Quantum Double Models. [PDF]

Commun Math Phys
Bols A, Hamdan M, Naaijkens P, Vadnerkar S.   +3 more
europepmc   +1 more source

Are All Species Created Equal? A Critique of the "Equal Fitness Paradigm". [PDF]

Biology (Basel)
Glazier DS.
europepmc   +1 more source

Mechanical Versus Restrictive Kinematic Alignment in Robotic-Assisted Total Knee Arthroplasty: A Randomized Controlled Trial. [PDF]

Diagnostics (Basel)
Lychagin AV, Gritsyuk AA, Elizarov MP, Gritsuk AA, Gavlovsky MY, Tomboidi KK, Kalinsky EB, Rosenberg N.   +7 more
europepmc   +1 more source

Simulated Annealing-Guided Geometric Descent-Optimized Frequency-Domain Compression-Based Acquisition Algorithm. [PDF]

Sensors (Basel)
Zhou F, Wang W, Xiao Y, Zhou C.
europepmc   +1 more source

Phase Space Spin-Entropy. [PDF]

Entropy (Basel)
Geiger D.
europepmc   +1 more source

Rate adaptive compressed sampling based on region division for wireless sensor networks. [PDF]

Sci Rep
Wang W, Jin X, Quan D, Zhu M, Wang X, Zheng M, Li J, Chen J.   +7 more
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Fault prediction of aircraft engine based on adaptive hybrid sampling and BiLSTM. [PDF]

Sci Rep
Hu J, Jiang X, Xu H, Zhang K.
europepmc   +1 more source

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Covering radius and the Restricted Isometry Property

2011 IEEE Information Theory Workshop, 2011
The Restricted Isometry Property or RIP introduced by Candes and Tao requires an n × p dictionary to act as a near isometry on all k-sparse signals. This paper provides a very simple condition under which a dictionary Φ(C) obtained by exponentiating codewords from a binary linear code C satisfies the RIP with high probability.
A. Robert Calderbank, Sina Jafarpour, Maria Nastasescu   +2 more
openaire   +1 more source

The Restricted Isometry Property for block diagonal matrices

2011 45th Annual Conference on Information Sciences and Systems, 2011
In compressive sensing (CS), the Restricted Isometry Property (RIP) is a powerful condition on measurement operators which ensures robust recovery of sparse vectors is possible from noisy, undersampled measurements via computationally tractable algorithms.
Han Lun Yap, Armin Eftekhari, Michael B. Wakin, Christopher J. Rozell   +3 more
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The Statistical Restricted Isometry Property For Gabor Systems

2018 IEEE Statistical Signal Processing Workshop (SSP), 2018
Gabor matrices are important in many different areas of timefrequency analysis like radar or communications. For applications with sparse data, the question arises whether these matrices satisfy some recovery guarantees for compressive sampling, and which generating windows yield a matrix with restricted isometric property.
Alihan Kaplan, Volker Pohl, Dae Gwan Lee
openaire   +1 more source