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Irad Yavneh

Researcher at Technion – Israel Institute of Technology

Publications -  126
Citations -  3409

Irad Yavneh is an academic researcher from Technion – Israel Institute of Technology. The author has contributed to research in topics: Multigrid method & Sparse approximation. The author has an hindex of 31, co-authored 124 publications receiving 3185 citations. Previous affiliations of Irad Yavneh include National Center for Atmospheric Research & Weizmann Institute of Science.

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Baroclinic Instability and Loss of Balance

TL;DR: In this article, the authors analyzed the particular example of an unbalanced instability of a balanced, horizontally uniform, vertically sheared current, as it occurs within the Boussinesq equations.
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Sparsity-based single-shot subwavelength coherent diffractive imaging

TL;DR: In this paper, a sparsity-based single-shot subwavelength resolution coherent diffractive imaging (CDI) method was proposed to reconstruct sub-wavelength features from far-field intensity patterns at a resolution several times better than the diffraction limit.
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A Plurality of Sparse Representations Is Better Than the Sparsest One Alone

TL;DR: It is shown that while the maximum a posteriori probability (MAP) estimator aims to find and use the sparsest representation, the minimum mean- squared-error (MMSE) estimators leads to a fusion of representations to form its result, which is a far more accurate estimation in terms of the expected lscr2 -norm error.
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Sparsity-based single-shot sub-wavelength coherent diffractive imaging

TL;DR: A method of performing single-shot sub-wavelength resolution Coherent Diffractive Imaging (CDI), i.e. algorithmic object reconstruction from far-field intensity measurements, applicable to objects that are sparse in a known basis.
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Anisotropy and coherent vortex structures in planetary turbulence.

TL;DR: High-resolution numerical simulations were made of unforced, planetary-scale fluid dynamics based on the quasi-geostrophic equations for a Boussinesq fluid in a uniformly rotating and stably stratified environment, which is an idealization for large regions of either the atmosphere or ocean.