Results 11 to 20 of about 6,413,007 (222)
N-Dimensional Principal Component Analysis [PDF]
, 2010 In this paper, we first briefly introduce the multidimensional Principal Component Analysis (PCA) techniques, and then amend our previous N-dimensional PCA (ND-PCA) scheme by introducing multidirectional decomposition into ND-PCA implementation.
Yu, Hongchuan
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A resource aware distributed LSI algorithm for scalable information retrieval [PDF]
, 2011 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Latent Semantic Indexing (LSI) is one of the popular techniques in the information retrieval fields.
Liu, Yang
core +7 more sources
Energies, 2022 This paper proposes a denoising method of vibration signal based on improved multiresolution singular value decomposition (IMRSVD) and effective component selection.
Xihui Chen +3 more
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A Novel Watermarking Method using Hadamard Matrix Quantization
Journal of ICT Research and Applications, 2020 One of the most used watermarking algorithms is Singular Value Decomposition (SVD), which has a balanced level of imperceptibility and robustness. However, SVD uses a singular matrix for embedding and two orthogonal matrices for reconstruction, which is ...
Prajanto Wahyu Adi, Pramudi Arsiwi
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The General Linear Model and the Generalized Singular Value Decomposition [PDF]
, 2009 The general linear model with correlated error variables can be transformed by means of the generalized singular value decomposition to a very simple model (canonical form) where the least squares solution is obvious.
Knüsel, Leo
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, 2008 A novel singular value decomposition (SVD) aided uplink (UL) multiuser MIMO system is proposed. In contrast to the traditional minimum mean square error (MMSE) or zeroforcing (ZF) multiuser detection (MUD) technique, the proposed method exploits the ...
W. Liu +5 more
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A Star Sensor On-Orbit Calibration Method Based on Singular Value Decomposition
Sensors, 2019 The navigation accuracy of a star sensor depends on the estimation accuracy of its optical parameters, and so, the parameters should be updated in real time to obtain the best performance. Current on-orbit calibration methods for star sensors mainly rely
Liang Wu +5 more
doaj +1 more source
Utilizing SVD and VMD for Denoising Non-Stationary Signals of Roller Bearings
Sensors, 2021 In view of the fact that vibration signals of rolling bearings are much contaminated by noise in the early failure period, this paper presents a new denoising SVD-VMD method by combining singular value decomposition (SVD) and variational mode ...
Qinghua Wang +4 more
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An Improved Unscented Kalman Filter Algorithm for Radar Azimuth Mutation
International Journal of Aerospace Engineering, 2020 An improved UKF (Unscented Kalman Filter) algorithm is proposed to solve the problem of radar azimuth mutation. Since the radar azimuth angle will restart to count after each revolution of the radar, and when the aircraft just passes the abrupt angle ...
Dazhang You +5 more
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A Novel Wheelset Bearing Fault Diagnosis Method Integrated CEEMDAN, Periodic Segment Matrix, and SVD
Shock and Vibration, 2018 A novel fault diagnosis method, named CPS, is proposed based on the combination of CEEMDAN (complete ensemble empirical mode decomposition with adaptive noise), PSM (periodic segment matrix), and SVD (singular value decomposition). Firstly, the collected
Chenguang Huang +3 more
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