Results 81 to 90 of about 206,616 (184)
Probabilistic matching pursuit with Gabor dictionaries
Signal Processing, 2000 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ferrando, Sebastian Esteban +3 more
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Hybrid Video Coding Based on Bidimensional Matching Pursuit
EURASIP Journal on Advances in Signal Processing, 2004 Hybrid video coding combines together two stages: first, motion estimation and compensation predict each frame from the neighboring frames, then the prediction error is coded, reducing the correlation in the spatial domain.
Lorenzo Granai +3 more
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Chebushev Greedy Algorithm in convex optimization [PDF]
, 2013 Chebyshev Greedy Algorithm is a generalization of the well known Orthogonal Matching Pursuit defined in a Hilbert space to the case of Banach spaces.
Temlyakov, Vladimir
core
A Sharp RIP Condition for Orthogonal Matching Pursuit
Abstract and Applied Analysis, 2013 A restricted isometry property (RIP) condition δK+KθK ...
Wei Dan
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Random Matching Pursuit for Image Watermarking
IEEE Transactions on Circuits and Systems for Video Technology, 2019 The classical solution to an underdetermined system of linear equations mainly has two opposite directions, which lead to either a large $\ell _{2}$ -norm sparse solution or a non-sparse minimum $\ell _{2}$ -norm solution. In this paper, we systematically show that by modifying the well-known basic matching pursuit algorithm originally ...
Guang Hua +4 more
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Peak Colocalized Orthogonal Matching Pursuit for Seismic Trace Decomposition
IEEE Access, 2020 Orthogonal matching pursuit (OMP) is an efficient method for decomposing a seismic trace with regard to an atom dictionary. The original OMP optimizes one unique single objective in terms of successively maximizing the inner product between an atom and ...
Yongqing Li, Jun Wang, Hui Li, Peng Ren
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Bayesian approach with extended support estimation for sparse linear regression
Results in Applied Mathematics, 2019 A greedy algorithm called Bayesian multiple matching pursuit (BMMP) is proposed to estimate a sparse signal vector and its support given m linear measurements. Unlike the maximum a posteriori (MAP) support detection, which was proposed by Lee to estimate
Kyung-Su Kim, Sae-Young Chung
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On Recovery of Block Sparse Signals via Block Compressive Sampling Matching Pursuit
IEEE Access, 2019 Compressive sampling matching pursuit (CoSaMP) is an efficient reconstruction algorithm for sparse signal. When the signal is block sparse, i.e., the non-zero elements are presented in clusters, some block sparse reconstruction algorithms have been ...
Xiaobo Zhang +4 more
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Classification of Acoustic Emissions Using Modified Matching Pursuit
EURASIP Journal on Advances in Signal Processing, 2004 We propose methodologies to automatically classify time-varying warning signals from an acoustic monitoring system that indicate the potential catastrophic structural failures of reinforced concrete structures. Since missing even a single warning signal
Papandreou-Suppappola Antonia +2 more
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Journal of Low Frequency Noise, Vibration and Active Control, 2019 In order to extract fault impulse feature of large-scale rotating machinery from strong background noise, a sparse feature extraction method based on sparse decomposition combined multiresolution generalized S transform is proposed in this paper. In this
Baokang Yan +4 more
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