2022
DOI: 10.1515/conop-2021-0123
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The p-norm of circulant matrices via Fourier analysis

Abstract: A recent work derived expressions for the induced p-norm of a special class of circulant matrices A(n, a, b) ∈ ℝ n × n , with the diagonal entries equal to a ∈ ℝ and the off-diagonal entries equal to b ≥ 0. We provide shorter proofs for all the results therein using Fourier analysis. The key observation is that a circulant matrix is diagonalized by a DFT matrix. The results comprise an exact expr… Show more

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Cited by 3 publications
(3 citation statements)
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“…Shreeram Suresh Chandra et al conducted experiments [65] on several methods based on energy, differential entropy [66], geometric power [67], and the P-paradigm [68] using neural network structures such as DNNs, CNNs, ResNet, MLPs, etc., in order to compare the performances and study the optimal combinations of neural networks with signal processing methods. The experiments in this paper demonstrate that as the depth of a CNN increases, its performance also increases, but the vanishing gradient problem also occurs, so residual blocks are introduced to solve this problem.…”
Section: Application Of Residual Neural Network To Spectrum Sensingmentioning
confidence: 99%
“…Shreeram Suresh Chandra et al conducted experiments [65] on several methods based on energy, differential entropy [66], geometric power [67], and the P-paradigm [68] using neural network structures such as DNNs, CNNs, ResNet, MLPs, etc., in order to compare the performances and study the optimal combinations of neural networks with signal processing methods. The experiments in this paper demonstrate that as the depth of a CNN increases, its performance also increases, but the vanishing gradient problem also occurs, so residual blocks are introduced to solve this problem.…”
Section: Application Of Residual Neural Network To Spectrum Sensingmentioning
confidence: 99%
“…We call this kind of problem as hypothesis testing problem. The unilateral hypothesis testing algorithm is often used in the batch sample sampling in industrial production [3][4][5].…”
Section: Introductionmentioning
confidence: 99%
“…As an application, it is proved that, for the following matrices corresponding to magic squares: We also estimate the p-norm of circulant matrices. L. Bouthat, A. Khare, J. Mashreghi and F. Morneau-Guérin [2] and K. R. Sahasranand [4] studied precise estimation of p-norm for some special circulant matrices.…”
Section: Introductionmentioning
confidence: 99%