Results 21 to 30 of about 1,179,942 (315)
SELECTION OF VARIABLES IN THE LINEAR REGRESSION WITH THE RESTRICTED RRQR ALGORITHM [PDF]
المجلة العلمية للدراسات والبحوث المالية والتجارية, 2023 Variable selection is a contentious issue that has spawned a variety of methods for finding the optimum regression equation with the fewest parameters.
لبني الطيب
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Fragile watermarking technique for detecting image
网络与信息安全学报, 2017 Aiming at the problem of image tampering and forensic localization,a fragile watermarking algorithm based on chaos sequence and image QR decomposition was proposed to determine the image tampering.The algorithm chooses QR decomposition to decompose the ...
Yu-hong CHANG,Hui-fen HUANG,Zhi-hong WANG
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Blind video watermarking scheme for medical video authentication
Heliyon, 2023 Medical video watermarking is one of the beneficial and efficient tools to prohibit important patients' data from illicit enrollment and redistribution.
Doaa Sami Khafaga +3 more
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QR Decomposition Based on Double-double Precision Gram-Schmidt Orthogonalization Method [PDF]
Jisuanji kexue, 2023 The Gram-Schmidt orthogonalization algorithm and its related modified algorithms often show numerical instability when computing ill-conditioned or large-scale matrices.To solve this problem,this paper explores the cumulative effect of round-off errors ...
JIN Jiexi, XIE Hehu, DU Peibing, QUAN Zhe, JIANG Hao
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Randomized Rank-Revealing QLP for Low-Rank Matrix Decomposition
IEEE Access, 2023 The pivoted QLP decomposition is computed through two consecutive pivoted QR decompositions. It is an approximation to the computationally prohibitive singular value decomposition (SVD). This work is concerned with a partial QLP decomposition of matrices
Maboud F. Kaloorazi +4 more
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Study on Reliability Constraint Algorithm in MIMO Signal Detection [PDF]
Jisuanji gongcheng, 2017 The paper proposes a low-complexity reliability constraint algorithm based on QR decomposition.The algorithm judges soft estimates by shadow area constraint method.Besides,constellation points are introduced as the candidate points,and the optimal ...
XIA Jingming,ZHUANG Yong,LI Peng,TAN Ling
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Tensor Completion via Tensor QR Decomposition and L2, 1-Norm Minimization [PDF]
Signal Processing, 2020 In this paper, we consider the tensor completion problem, which has many researchers in the machine learning particularly concerned. Our fast and precise method is built on extending the $L_{2,1}$-norm minimization and Qatar Riyal decomposition (LNM-QR ...
Yongming Zheng, An-Bao Xu
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On the Error in the Product QR Decomposition [PDF]
SIAM Journal on Matrix Analysis and Applications, 2010 We develop both a normwise and a componentwise error analysis for the QR factorization of long products of invertible matrices. We obtain global error bounds for both the orthogonal and upper triangular factors that depend on uniform bounds on the size of the local error, the local degree of nonnormality, and integral separation, a natural condition ...
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A robust LU polynomial matrix decomposition for spatial multiplexing
EURASIP Journal on Advances in Signal Processing, 2020 This paper considers time-domain spatial multiplexing in MIMO wideband system, using an LU-based polynomial matrix decomposition. Because the corresponding pre- and post-filters are not paraunitary, the noise output power is amplified and the performance
Moustapha Mbaye +2 more
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An optimization method of observation matrix based on QR decomposition
Dianzi Jishu Yingyong, 2021 In compressed sensing theory, the most critical issue is the construction of the observation matrix. The factors that affect the image reconstruction quality include the independence between the observation matrix column vectors and the cross-correlation
Zhou Qibin, Wu Jing, Yu Bo
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