Results 11 to 20 of about 37,103 (214)
Optimal designs for three-dimensional shape analysis with spherical harmonic descriptors [PDF]
We determine optimal designs for some regression models which are frequently used for describing three-dimensional shapes. These models are based on a Fourier expansion of a function defined on the unit sphere in terms of spherical harmonic basis ...
Dette, Holger +2 more
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The polynomial spline collocation method is proposed for solution of Volterra integral equations of the first kind with special piecewise continuous kernels.
Aleksandr Tynda +2 more
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Caratheodory-Tchakaloff Subsampling [PDF]
We present a brief survey on the compression of discrete measures by Caratheodory-Tchakaloff Subsampling, its implementation by Linear or Quadratic Programming and the application to multivariate polynomial Least Squares.
Piazzon, Federico +2 more
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A nonlinear equation f(x)=0 is mathematically transformed to a coupled system of quasi-linear equations in the two-dimensional space. Then, a linearized approximation renders a fractional iterative scheme xn+1=xn−f(xn)/[a+bf(xn)], which requires one ...
Chein-Shan Liu +2 more
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Owing to various applications in the field of wireless communication systems, in this paper, using vector-based interior-point algorithm, we propose a generic methodology which optimizes simple exponential based approximations of the Gaussian $Q ...
Aditya Powari +3 more
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Introduction. In many applied problems, such as statistical data processing, digital filtering, computed tomography, pattern recognition, and many others, there is a need for numerical integration, moreover, with a given (often quite high) accuracy ...
V.K. Zadiraka +2 more
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Comparison of optimal quadrature formulas
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Bojanov, Borislav, Huang, Daren
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This work considers the optimal quadrature formula in a Hilbert space for the numerical approximation of the integral equations. It discusses the sequence of solving integral equations with quadrature formulas.
Abdullo Hayotov, Samandar Babaev
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Low Complexity Golden Code Analytical and Deep Learning-Based Sphere-Decoders for High-Density M-QAM
In this paper, we develop low complexity Golden code sphere-decoding (SD) algorithms for high-density M-ary quadrature amplitude modulation (M-QAM). We define the high-density M-QAM as having modulation orders ( $M$ ) of at least 64, i.e.
Bhekisizwe Mthethwa, Hongjun Xu
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Error Bounds for Optimal Definite Quadrature Formulae
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Kohler, P., Nikolov, G.
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