Results 1 to 10 of about 62,622 (323)
Energy Efficient GNSS Signal Acquisition Using Singular Value Decomposition (SVD) [PDF]
Sensors, 2018 A significant challenge in global navigation satellite system (GNSS) signal processing is a requirement for a very high sampling rate. The recently-emerging compressed sensing (CS) theory makes processing GNSS signals at a low sampling rate possible if ...
Juan Carlos Bermúdez Ordoñez +2 more
doaj +4 more sources
Ultrasonics, 2020 Singular value decomposition (SVD)-based clutter filters can robustly reject the tissue clutter as compared with the conventional high pass filter-based clutter filters. However, the computational burden of SVD makes real time SVD-based clutter filtering
U-Wai Lok +2 more
exaly +2 more sources
Two dimensional Singular Value Decomposition (2D-SVD) based video coding [PDF]
2010 IEEE International Conference on Image Processing, 2010 In this paper, we propose a low-complexity video codec based on two-dimensional Singular Value Decomposition (2D-SVD). We exploit the common temporal characteristics of video without resorting to motion estimation. It has been demonstrated that this codec has higher coding efficiency than the relevant existing low complexity codecs.
Zhouye Gu +4 more
openaire +2 more sources
Singular Value Decomposition (SVD) [PDF]
Data-Driven Science and Engineering, 2019 S. Brunton, J. Kutz
semanticscholar +2 more sources
Singular value decomposition (SVD)
Introduction to Inverse Problems in Imaging, 2021 M. Bertero, P. Boccacci
semanticscholar +2 more sources
Dissecting the polygenic architecture of psychopathology via singular value decomposition of eight psychiatric genome‐wide association studies and evaluation of component‐based polygenic scores [PDF]
General Psychiatry, Volume 39, Issue 3, June 2026.ABSTRACT Background Current research suggests that genetic risk for psychiatric disorders is largely due to distinct combinations of many common variants shared by different disorders. This points to the existence of latent components affecting different dimensions of psychopathology.
Fernando Facal +2 more
wiley +2 more sources
iLDA‐SGCN: Identifying Associations Between Age‐Related Diseases and Long Non‐Coding RNAs Using Dual Graph Convolutional Networks [PDF]
Aging Cell, Volume 25, Issue 6, June 2026.iLDA‐SGCN integrates singular value decomposition and dual graph convolutional networks to predict lncRNA‐disease associations. It achieves superior performance on two benchmark datasets and identifies 33 candidate lncRNAs across 8 age‐related diseases.
Yu Guo +8 more
wiley +2 more sources
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
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