Truncated singular value decomposition in ripped photo recovery [PDF]
ITM Web of Conferences, 2021 Singular value decomposition (SVD) is one of the most useful matrix decompositions in linear algebra. Here, a novel application of SVD in recovering ripped photos was exploited. Recovery was done by applying truncated SVD iteratively.
Lem Kong Hoong
doaj +2 more sources
Forward Looking Radar Imaging by Truncated Singular Value Decomposition and Its Application for Adverse Weather Aircraft Landing [PDF]
Sensors, 2015 The forward looking radar imaging task is a practical and challenging problem for adverse weather aircraft landing industry. Deconvolution method can realize the forward looking imaging but it often leads to the noise amplification in the radar image. In
Yulin Huang +3 more
doaj +2 more sources
svds-C: A multi-thread C code for computing truncated singular value decomposition
SoftwareX, 2023 This article presents svds-C, an open-source and high-performance C program for accurately and robustly computing truncated SVD, e.g. computing several largest singular values and corresponding singular vectors.
Xu Feng, Wenjian Yu, Yuyang Xie
doaj +3 more sources
A Truncated Singular Value Decomposition Enhanced Nested Complex Source Beam Method [PDF]
International Journal of Antennas and Propagation, 2017 This work presents a novel matrix compression algorithm to improve the computational efficiency of the nested complex source beam (NCSB) method. The algorithm is based on the application of the truncated singular value decomposition (TSVD) to the ...
Lianning Song, Zaiping Nie
doaj +2 more sources
Hyperspectral Multispectral Image Fusion via Fast Matrix Truncated Singular Value Decomposition
Remote Sensing, 2022 Recently, methods for obtaining a high spatial resolution hyperspectral image (HR-HSI) by fusing a low spatial resolution hyperspectral image (LR-HSI) and high spatial resolution multispectral image (HR-MSI) have become increasingly popular.
Hong Lin +3 more
doaj +2 more sources
Robust and Fast Magnetic Dipole Localization With Singular Value Truncated SDM [PDF]
IEEE Access, 2019 The supervised descent method (SDM) avoids computing inverse of the Hessian matrix and is a potential tool to rapidly solve the nonlinear least squares problem of magnetic dipole localization.
Jun Lu +3 more
doaj +2 more sources
An Investigation of Extended-Dimension Embedded CKF-SLAM Based on the Akaike Information Criterion [PDF]
SensorsSimultaneous localization and mapping (SLAM) faces significant challenges due to high computational costs, low accuracy, and instability, which are particularly problematic because SLAM systems often operate in real-time environments where timely and ...
Hanghang Xu +3 more
doaj +2 more sources
Reconstruction of Mercury's internal magnetic field beyond the octupole [PDF]
Annales Geophysicae, 2022 The reconstruction of Mercury's internal magnetic field enables us to take a look into the inner heart of Mercury. In view of the BepiColombo mission, Mercury's magnetosphere is simulated using a hybrid plasma code, and the multipoles of the internal ...
S. Toepfer +10 more
doaj +1 more source
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
doaj +1 more source
A Novel Movie Recommendation System with Iterated Truncated Singular Value Decomposition (ITSVD) [PDF]
مطالعات مدیریت کسب و کار هوشمند, 2021 Recommendation systems are one of the most essential tools for e-commerce intelligence. These systems with different types of data filtering methods are able to offer the best recommendations from a multitude of selectable items.
Nozar Ebrahimi Lame +2 more
doaj +1 more source