Publications associées à Distributed Sensing of Signals Linked by Sparse Filtering

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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

Distributed Sensing of Signals Linked by Sparse Filtering

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Frequency domain LPV controller synthesis for a positioning system with uncertain scheduling parameters

Sparsest piecewise-linear regression of one-dimensional data

Joint Sparsity with Partially Known Support and Application to Ultrasound Imaging

Unified Theory for Recovery of Sparse Signals in a General Transform Domain

Super Resolution Phase Retrieval for Sparse Signals

Learning of robust spectral graph dictionaries for distributed processing

An Adaptive Sublinear-Time Block Sparse Fourier Transform

Computational Methods for Underdetermined Convolutive Speech Localization and Separation via Model-based Sparse Component Analysis

Signal structure: from manifolds to molecules and structured sparsity

Compressed Sensing of Memoryless Sources

Frequency domain LPV controller synthesis for a positioning system with uncertain scheduling parameters

Signal structure: from manifolds to molecules and structured sparsity

Computational Methods for Underdetermined Convolutive Speech Localization and Separation via Model-based Sparse Component Analysis

Sparsest piecewise-linear regression of one-dimensional data

Super Resolution Phase Retrieval for Sparse Signals

Unified Theory for Recovery of Sparse Signals in a General Transform Domain

An Adaptive Sublinear-Time Block Sparse Fourier Transform

Compressed Sensing of Memoryless Sources

Learning of robust spectral graph dictionaries for distributed processing

Joint Sparsity with Partially Known Support and Application to Ultrasound Imaging