Results 31 to 40 of about 5,012,670 (186)
Singular value decomposition in AHP
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Saul I. Gass, Tamás Rapcsák
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Singular random matrix decompositions: distributions. [PDF]
Assuming that Y has a singular matrix variate elliptically contoured distribution with respect to the Hausdorff measure, the distributions of several matrices associated to QR, modified QR, SV and Polar decompositions of matrix Y are determined, for ...
González Farías, Graciela +3 more
core +1 more source
Automatic modulation classification (AMC) is a fundamental technique in wireless communication systems, as it enables the identification of modulation schemes at the receiver without prior knowledge, thereby promoting efficient spectrum utilization ...
Jung-Hwan Kim +3 more
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Perturbation Results for Singular Values
The singular values of a perturbed complex-valued matrix A+epsilon B + O(epsilon2) are shown to have singular values of the form sigmai(epsilon)=sigmai + kiepsilon + O(epsilon2). Explicit expressions for the ki coefficients are derived. The cases of zero
Söderström, Torsten
core +4 more sources
The dq-axis coupling effect significantly influences the vector control performance of permanent magnet synchronous motors (PMSMs), and traditional proportional-integral (PI) control cannot control the system as desired.
Tianyi Zhang +5 more
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The complex structured singular value [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Packard, A., Doyle, J.
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Singular values of two-parameter families λ((bz − 1)/z)μ and λ(z/(bz − 1))η
The singular values of two kinds of two-parameter families of functions (i) fλ,μ(z)=λ((bz−1)/z)μ and fλ,μ(0) = λ(ln b)μ, μ > 0, (ii) gλ,η(z)=λ(z/(bz−1))η and gλ,η(0) = λ/(ln b)η, η > 0; λ∈ℝ∖{0}, z∈ℂ, b > 0, b ≠ 1 are described.
Mohammad Sajid
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An Exponential Filtering Based Inversion Method for Microwave Imaging [PDF]
In this paper, a new methodology based on the exponential filtering of singular values is adopted to solve the linear ill-posed problem of microwave imaging.
A. Magdum +2 more
doaj
The Singular Values of Convolutional Layers
We characterize the singular values of the linear transformation associated with a standard 2D multi-channel convolutional layer, enabling their efficient computation. This characterization also leads to an algorithm for projecting a convolutional layer onto an operator-norm ball.
Hanie Sedghi +2 more
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Optimal Shrinkage of Singular Values [PDF]
We consider recovery of low-rank matrices from noisy data by shrinkage of singular values, in which a single, univariate nonlinearity is applied to each of the empirical singular values. We adopt an asymptotic framework, in which the matrix size is much larger than the rank of the signal matrix to be recovered, and the signal-to-noise ratio of the low ...
Matan Gavish, David L. Donoho
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