Publications associées à Parallel filtering in global gyrokinetic simulations

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An Adaptive Sublinear-Time Block Sparse Fourier Transform

Volkan Cevher, Mikhail Kapralov, Jonathan Mark Scarlett, Amir Zandieh

The problem of approximately computing the

k

dominant Fourier coefficients of a vector

X

quickly, and using few samples in time domain, is known as the Sparse Fourier Transform (sparse FFT) problem. A long line of work on the sparse FFT has resulted in ...

2017

Parallel filtering in global gyrokinetic simulations

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Simulating background shear flow in local gyrokinetic simulations

Stable Manifold for the Critical Non-Linear Wave Equation: A Fourier Theory Approach

A non-stationary stochastic ensemble generator for radar rainfall fields based on the short-space Fourier transform

An Adaptive Sublinear-Time Block Sparse Fourier Transform

On Short Sums Of Trace Functions

A sparse reconstruction framework for Fourier-based plane wave imaging

Effective a posteriori Co-Phasing of Interferometric Fringe Data

Flexibeam: Analytic Spatial Filtering By Beamforming

Divergence-Free Wavelet Frames

Superresolution Reconstruction for Magnetic Resonance Spectroscopic Imaging Exploiting Low-Rank Spatio-Spectral Structure

Simulating background shear flow in local gyrokinetic simulations

Stable Manifold for the Critical Non-Linear Wave Equation: A Fourier Theory Approach

On Short Sums Of Trace Functions

Effective a posteriori Co-Phasing of Interferometric Fringe Data

A non-stationary stochastic ensemble generator for radar rainfall fields based on the short-space Fourier transform

An Adaptive Sublinear-Time Block Sparse Fourier Transform

A sparse reconstruction framework for Fourier-based plane wave imaging

Divergence-Free Wavelet Frames

Superresolution Reconstruction for Magnetic Resonance Spectroscopic Imaging Exploiting Low-Rank Spatio-Spectral Structure

Flexibeam: Analytic Spatial Filtering By Beamforming