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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

Acquisition comprimée

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An Adaptive Sublinear-Time Block Sparse Fourier Transform

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Ultrafast ultrasound imaging as an inverse problem: Matrix-free sparse image reconstruction

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Learning the weight matrix for sparsity averaging in compressive imaging

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