Results 41 to 50 of about 45,005 (294)
Traffic Data Restoration Method Based on Tensor Weighting and Truncated Nuclear Norm [PDF]
Jisuanji kexue, 2023 The problem of missing data seriously affects a series of activities in intelligent transportation systems,such as monitoring traffic dynamics,predicting traffic flow,and deploying traffic planning through data.Therefore,a traffic flow data ...
WU Jiangnan, ZHANG Hongmei, ZHAO Yongmei, ZENG Hang, HU Gang
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Truncating the singular value decomposition for ILL-posed problems
, 1998 Bert W. Rust
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Observation and Inversion of Aerosol Particle Size Distribution over Yinchuan Area
Atmosphere, 2021 Particle size distribution is one of the important microphysical parameters to characterize the aerosol properties. The aerosol optical depth is used as the function of wavelength to study the particle size distribution of whole atmospheric column ...
Jiandong Mao +4 more
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Truncated Singular Value Decomposition Regularization for Estimating Terrestrial Water Storage Changes Using GPS: A Case Study over Taiwan [PDF]
Remote Sensing, 2020 Michael Bevis, Hok Sum Fok
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DEBLURRING STUDY OF DMSP/OLS NIGHTTIME LIGHT DATA BY RTSVD [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 DMSP/OLS, as the earliest Nighttime light remote sensing data, has great application value and can greatly improve the data quality by solving the blurring problem existing in the data.
C. Ren +4 more
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Difference-based Methods for Truncating the Singular Value Decomposition [PDF]
Communications in Statistics - Simulation and Computation, 2015 Given a noisy time series (or signal), one may wish to remove the noise from the observed series. Assuming that the noise-free series lies in some low dimensional subspace of rank r, a common approach is to embed the noisy time series into a Hankel trajectory matrix.
Dafydd Evans, Jonathan Gillard 0002
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A New Algorithm for Ill-Posed Problem of GNSS-Based Ionospheric Tomography
Remote Sensing, 2023 Ill-posedness of GNSS-based ionospheric tomography affects the stability and the accuracy of the inversion results. Truncated singular value decomposition (TSVD) is a common algorithm of ionospheric tomography reconstruction.
Debao Wen +5 more
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An Improved Tikhonov-Regularized Variable Projection Algorithm for Separable Nonlinear Least Squares
Axioms, 2021 In this work, we investigate the ill-conditioned problem of a separable, nonlinear least squares model by using the variable projection method. Based on the truncated singular value decomposition method and the Tikhonov regularization method, we propose ...
Hua Guo, Guolin Liu, Luyao Wang
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Entropy, 2023 The traces used in side-channel analysis are essential to breaking the key of encryption and the signal quality greatly affects the correct rate of key guessing.
Yuanzhen Wang +7 more
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