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Composition matrices for different hydrological conditions are analyzed by using the singular value decomposition technique.
The overdetermined system of linear equations is robustly solved using the singular value decomposition (SVD) method.
We then calculate the closest orthonormal basis to B using the singular value decomposition.
Rank reduction is achieved by using the singular value decomposition (SVD).
The theoretical control properties of those schemes were obtained using the singular value decomposition technique in all frequency domain.
Five independent members of the alignment tensor were determined by using the singular value decomposition (SVD) method.
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Zhu and Milanfar [34] measured sharpness using the singular values of a gradient image.
Gaurav and Balasubramanian [24] embedded a watermark into the reference image by modifying the singular value of the reference image using the singular values of the watermark.
Zhang et al. [38] calculated a difference vector between the reference and distorted images using the singular values of wavelet decomposition.
The primary reason of using the singular values in matrix decomposition is their robustness to defects in the matrix elements, which is not a case of own values in non-symmetric matrices [31].
complex Gaussian entries with zero mean and variance σ H 2. BD is performed with the imperfectly estimated H ^, and therefore the power allocation is determined using the singular values obtained with this estimation error.
More suggestions(15)
utilizes the singular value
using the initial value
using the σ value
using the genuine value
using the critical value
using the same value
using the nutrient value
using the beta value
using the random value
using the present value
using the maximum value
using the average value
using the th value
using the median value
using the singular form
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