Results 1 to 10 of about 1,409,223 (260)
A Remote Sensing Image Destriping Model Based on Low-Rank and Directional Sparse Constraint
Remote Sensing, 2021 Stripe noise is a common condition that has a considerable impact on the quality of the images. Therefore, stripe noise removal (destriping) is a tremendously important step in image processing.
Xiaobin Wu +4 more
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The sparse array elements selection in sparse imaging of circular-array photoacoustic tomography
Journal of Innovative Optical Health Sciences, 2022 Photoacoustic imaging (PAI) has been developed, and photoacoustic computed tomography (PACT) is widely used for in vivo tissue and mouse imaging. Simulated annealing (SA) algorithm solves optimization problems, and compressed sensing (CS) recovers sparse
Zezheng Qin +4 more
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Efficient Tuning-Free l1-Regression of Nonnegative Compressible Signals
Frontiers in Applied Mathematics and Statistics, 2021 In compressed sensing the goal is to recover a signal from as few as possible noisy, linear measurements with the general assumption that the signal has only a few non-zero entries.
Hendrik Bernd Petersen +3 more
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CMOS Fixed Pattern Noise Elimination Based on Sparse Unidirectional Hybrid Total Variation
Sensors, 2020 With the improvement of semiconductor technology, the performance of CMOS Image Sensor has been greatly improved, reaching the same level as that of CCD in dark current, linearity and readout noise. However, due to the production process, CMOS has higher
Tao Zhang +3 more
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Crossing time windows optimization based on mutual information for hybrid BCI
Mathematical Biosciences and Engineering, 2021 Hybrid EEG-fNIRS brain-computer interface (HBCI) is widely employed to enhance BCI performance. EEG and fNIRS signals are combined to increase the dimensionality of the information.
Ming Meng +4 more
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Seismic Data Denoising Based on Sparse and Low-Rank Regularization
Energies, 2020 Seismic denoising is a core task of seismic data processing. The quality of a denoising result directly affects data analysis, inversion, imaging and other applications.
Shu Li +4 more
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A multimodal fusion method for Alzheimer’s disease based on DCT convolutional sparse representation
Frontiers in Neuroscience, 2023 IntroductionThe medical information contained in magnetic resonance imaging (MRI) and positron emission tomography (PET) has driven the development of intelligent diagnosis of Alzheimer’s disease (AD) and multimodal medical imaging. To solve the problems
Guo Zhang +8 more
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Cops and Robbers on Dynamic Graphs: Offline and Online Case [PDF]
Discrete Mathematics & Theoretical Computer Science, 2023 We examine the classic game of Cops and Robbers played on models of dynamic graphs, that is, graphs evolving over discrete time steps. At each time step, a graph instance is generated as a subgraph of the underlying graph of the model.
Stefan Balev +4 more
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IEEE Access, 2020 Since the cost of labeling data is getting higher and higher, we hope to make full use of the large amount of unlabeled data and improve image classification effect through adding some unlabeled samples for training.
Wenjuan Zhang +2 more
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Enhanced Root-MUSIC Algorithm Based on Matrix Reconstruction for Frequency Estimation
Sensors, 2023 In recent years, frequency-modulated continuous wave (FMCW) radar has been widely used in automatic driving, settlement monitoring and other fields. The range accuracy is determined by the estimation of the signal beat frequency.
Yingjie Zhu +3 more
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