Results 11 to 20 of about 1,669,292 (291)
On Polar Polytopes and the Recovery of Sparse Representations [PDF]
IEEE Transactions on Information Theory, 2007 Suppose we have a signal y which we wish to represent using a linear combination of a number of basis atoms ai,y=Sigmaixiai=Ax. The problem of finding the minimum l0 norm representation for y is a hard problem. The basis pursuit (BP) approach proposes to find the minimum l1 norm representation instead, which corresponds to a linear program (LP) that ...
Mark D. Plumbley, Plumbley, MD
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GRADIENT POLYTOPE FACES PURSUIT FOR LARGE SCALE SPARSE RECOVERY PROBLEMS [PDF]
, 2010 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), Dallas, TX, 14-19 March ...
Plumbley, Mark D. +8 more
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Improved sparse representation using adaptive spatial support for effective target detection in hyperspectral imagery [PDF]
, 2013 With increasing applications of hyperspectral imagery (HSI) in agriculture, mineralogy, military, and other fields, one of the fundamental tasks is accurate detection of the target of interest.
Li, Xiaohui +3 more
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Sparse signal recovery from modulo observations
EURASIP Journal on Advances in Signal Processing, 2021 We consider the problem of reconstructing a signal from under-determined modulo observations (or measurements). This observation model is inspired by a relatively new imaging mechanism called modulo imaging, which can be used to extend the dynamic range ...
Viraj Shah, Chinmay Hegde
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Lower Bounds for Sparse Recovery [PDF]
Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms, 2010 11 pages.
Indyk, Piotr +3 more
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Remote Sensing, 2022 Synthetic aperture radar (SAR) is susceptible to radio frequency interference (RFI), which becomes especially commonplace in the increasingly complex electromagnetic environments.
Yi Ding +4 more
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ISAR Imaging of Non-Stationary Moving Target Based on Parameter Estimation and Sparse Decomposition
Remote Sensing, 2023 This paper studies the inverse synthetic aperture radar imaging problem for a non-stationary moving target and proposes a non-search imaging method based on parameter estimation and sparse decomposition.
Can Liu +3 more
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Beamformers for sparse recovery
2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013 In sparse recovery from measurement data a common approach is to use greedy pursuit reconstruction algorithms. Most of these algorithms have a correlation filter for detecting active components in the sparse data. In this paper, we show how modifications can be made for the greedy pursuit algorithms so that they use beamformers instead of the standard ...
Martin Sundin +2 more
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Combinatorial Regression and Improved Basis Pursuit for Sparse Estimation [PDF]
, 2012 Sparse representations accurately model many real-world data sets. Some form of sparsity is conceivable in almost every practical application, from image and video processing, to spectral sensing in radar detection, to bio-computation and genomic signal ...
Khajehnejad, M. Amin
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An Overview on Sparse Recovery-based STAP
Leida xuebao, 2014 This paper gives a brief review on the Sparse-Recovery (SR)-based Space-Time Adaptive Processing (STAP) technique. First, the motivation for introducing sparse recovery into STAP is presented.
Ma Ze-qiang +3 more
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