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Sparse recovery and Fourier sampling.
2013In the last decade a broad literature has arisen studying sparse recovery, the estimation of sparse vectors from low dimensional linear projections. Sparse recovery has a wide variety of applications such as streaming algorithms, image acquisition, and disease testing. A particularly important subclass of sparse recovery is the sparse Fourier transform,
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Sparse Recovery of Acoustic Waves
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022openaire +1 more source
Sparse Representation of a Polytope and Recovery of Sparse Signals and Low-Rank Matrices
IEEE Transactions on Information Theory, 2014Tony Cai, Anru R Zhang
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General RIP bounds of δ for sparse signals recovery by ℓ minimization
Neurocomputing, 2019Anhua Wan
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Block-Sparse Signals: Uncertainty Relations and Efficient Recovery
IEEE Transactions on Signal Processing, 2010Helmut Boelcskei, Yonina Eldar
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Sharp RIP bound for sparse signal and low-rank matrix recovery
Applied and Computational Harmonic Analysis, 2013Tony Cai, Anru R Zhang
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Shifting Inequality and Recovery of Sparse Signals
IEEE Transactions on Signal Processing, 2010Tony Cai
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Joint Sparse Recovery Based on Variances
SIAM Journal of Scientific Computing, 2019Guohui Song, Anne Gelb, Ben Adcock
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