Results 51 to 60 of about 337,735 (278)
PLoS ONE, 2022 In the compressed processing of hyperspectral images, orthogonal matching pursuit algorithm (OMP) can be used to obtain sparse decomposition results.
Li Wang, Wei Wang
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On Intercept Probability Minimization under Sparse Random Linear Network Coding [PDF]
, 2019 This paper considers a network where a node wishes to transmit a source message to a legitimate receiver in the presence of an eavesdropper. The transmitter secures its transmissions employing a sparse implementation of Random Linear Network Coding (RLNC)
Nix, Andrew +2 more
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Remote Sensing, 2022 Circular ground-based SAR (GBSAR) is a new 3D imaging GBSAR with the potential of acquiring high-quality 3D SAR images and 3D deformation. However, its donut-shaped spectrum and short radius of antenna rotation cause high sidelobes on 3D curved surfaces,
Qiming Zhang +3 more
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Optimal Frequency Reuse in HetNets With In-Band Relays
IEEE Access, 2018 In-band relay nodes can be utilized to enhance the coverage of heterogeneous networks in a cost-effective way. However, the wireless backhaul links of in-band relay nodes also consume the limited spectrum resources.
Shengda Jin +4 more
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, 2018 Optimization over non-negative polynomials is fundamental for nonlinear systems analysis and control. We investigate the relation between three tractable relaxations for optimizing over sparse non-negative polynomials: sparse sum-of-squares (SSOS ...
Fantuzzi, Giovanni +2 more
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Variational Destriping in Remote Sensing Imagery: Total Variation with L1 Fidelity
Remote Sensing, 2018 This paper introduces a variational method for destriping data acquired by pushbroom-type satellite imaging systems. The model leverages sparsity in signals and is based on current research in sparse optimization and compressed sensing.
Igor Yanovsky, Konstantin Dragomiretskiy
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Proceedings of machine learning researchAISTATS2024 camera ready version.
Zhang, Rui +3 more
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IEEE Access, 2018 It is significant for diagnosing the early faults of wind turbine planetary gearboxes. However, the weak transient feature generated by the early gear failure is often submerged in other vibration signals and noise, thus this paper discusses a new ...
Yi Qin, Jingqiang Zou, Folin Cao
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An Asynchronous Parallel Approach to Sparse Recovery
, 2017 Asynchronous parallel computing and sparse recovery are two areas that have received recent interest. Asynchronous algorithms are often studied to solve optimization problems where the cost function takes the form $\sum_{i=1}^M f_i(x)$, with a common ...
Needell, Deanna, Woolf, Tina
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Sparse seismic imaging using variable projection
, 2012 We consider an important class of signal processing problems where the signal of interest is known to be sparse, and can be recovered from data given auxiliary information about how the data was generated.
Aravkin, Aleksandr Y. +2 more
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