Publications associées à A sparse reconstruction framework for Fourier-based plane wave imaging

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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

A sparse reconstruction framework for Fourier-based plane wave imaging

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An Adaptive Sublinear-Time Block Sparse Fourier Transform

Sparse inverse problems for Fourier imaging

The Particle-In-Fourier (PIF) Approach Applied to Gyrokinetic Simulations

Soliton dual frequency combs in crystalline microresonators

MRI artifact correction using sparse plus low-rank decomposition of annihilating filter-based hankel matrix

On an Analytical, Spatially-Varying, Point-Spread-Function

Sparse regularization methods in ultrafast ultrasound imaging

Models of crowding: a comparative study

Fourier modeling of the BOLD response to a breath-hold task: Optimization and reproducibility

Simultaneous estimation of phase and its pth order derivatives

An Adaptive Sublinear-Time Block Sparse Fourier Transform

Soliton dual frequency combs in crystalline microresonators

MRI artifact correction using sparse plus low-rank decomposition of annihilating filter-based hankel matrix

The Particle-In-Fourier (PIF) Approach Applied to Gyrokinetic Simulations

Sparse inverse problems for Fourier imaging

Sparse regularization methods in ultrafast ultrasound imaging

On an Analytical, Spatially-Varying, Point-Spread-Function

Models of crowding: a comparative study

Fourier modeling of the BOLD response to a breath-hold task: Optimization and reproducibility

Simultaneous estimation of phase and its pth order derivatives