Results 281 to 290 of about 463,737 (318)

Computationally efficient technique for weight functions and effect of orthogonal polynomials on the average

Applied Mathematics and Computation, 2007
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Shelly Arora, S. S. Dhaliwal, Vijay Kumar Kukreja   +2 more
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Sidelobe Suppression With Low Peak-to-Valley Power Ratio Waveforms in MIMO-OFDM Dual-Function Radar-Communication Systems

IEEE Transactions on Vehicular Technology
In orthogonal frequency division multiplexing (OFDM)-based dual-function radar-communication (DFRC) systems, achieving low peak-to-average power ratio (PAPR) is essential for transmission efficiency and performance. Traditional PAPR constraints, however,
Xiang Feng, Zhongqing Zhao, Huiping Huang, Linlong Wu, Zhanfeng Zhao   +4 more
semanticscholar   +1 more source

Christoffel functions, orthogonal polynomials, and Nevai's conjecture for Freud weights

Constructive Approximation, 1992
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Levin, A. L., Lubinsky, D. S.
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Nonparametric Identification of Weighting Function by Orthogonal Series Method

1982 American Control Conference, 1982
A nonparametric algorithm for identifying the weighting function in linear dynamic continuous-time systems is proposed. The algorithm is derived from orthogonal series estimates of derivatives of regression functions. Asymptotic properties are investigated for a general orthogonal system and sufficient conditions for convergence in the sense of the ...
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An adaptive orthogonal improved interpolating moving least-square method and a new boundary element-free method

Applied Mathematics and Computation, 2019
The improved interpolating moving least-square (IIMLS) method has been widely used in data fitting and meshfree methods, and the obtained shape functions have the property of the delta function, compared with those obtained by the moving least-square ...
Qiao Wang, Wei Zhou, Yuntian Feng, G. Ma, Yonggang Cheng, X. Chang   +5 more
semanticscholar   +1 more source

Complexity Research on Second Class Orthogonal Weight Function Neural Networks

Advanced Materials Research, 2014
Weight function neural network is a new kind of neural network developed in recent years, which has many advantages, such as finding globe minima directly, good performance of generalization, extracting some useful information inherent in the problems and so on. Time complexity is an important measure of algorithm.
Dai Yuan Zhang, Ran Zhao
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Approximation of Functions by Discrete Fourier Sums in Polynomials Orthogonal on a Nonuniform Grid with Jacobi Weight

Mathematical Notes, 2021
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On polynomials orthogonal with respect to particular variable-signed weight functions

Zeitschrift für angewandte Mathematik und Physik ZAMP, 1980
In this paper we examine the existence of polynomials orthogonal with respect to weight functions which are given by the product of a nonnegative (on the interval of orthogonality) function and a polynomial. In particular, we give some results when the polynomial factor is orthogonal with respect to the remaining (nonnegative) part of the weight ...
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An efficient parametric finite difference and orthogonal spline approximation for solving the weakly singular nonlinear time-fractional partial integro-differential equation

Computational and Applied Mathematics, 2023
J. Alavi, H. Aminikhah
semanticscholar   +1 more source

Orthogonal Weighted Empirical Likelihood Test for ARCH-M Models with Double Functional Coefficients

Methodology and Computing in Applied Probability
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Zhao, Peixin, Jiang, Qian
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