Results 71 to 80 of about 626,115 (180)
Spline coalescence hidden variable fractal interpolation functions
Journal of Applied Mathematics, 2006 This paper generalizes the classical spline using a new construction of spline coalescence hidden variable fractal interpolation function (CHFIF). The derivative of a spline CHFIF is a typical fractal function that is self-affine or non-self-affine ...
A. K. B. Chand, G. P. Kapoor
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Modeling of complex-valued Wiener systems using B-spline neural network
, 2011 In this brief, a new complex-valued B-spline neural network is introduced in order to model the complex-valued Wiener system using observational input/output data. The complex-valued nonlinear static function in the Wiener system is represented using the
Hong, Xia +3 more
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Study on the Involute Spline Measurement Method
Jixie chuandong, 2020 The research history and current situation of involute spline is briefly summarized. The new development and application status of involute spline technology in recent years is more systematically introduced.
Lu Qiulong, Wang Yunxiang
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Performance of robust GCV and modified GCV for spline smoothing [PDF]
, 2012 While it is a popular selection criterion for spline smoothing, generalized cross-validation (GCV) occasionally yields severely undersmoothed estimates.
Anderssen, R.S. +2 more
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An exponential spline for solving the fractional riccati differential equation
پژوهشهای ریاضی, 2022 In this Article, proposes an approximation for the solution of the Riccati equation based on the use of exponential spline functions. Then the exponential spline equations are obtained and the differential equation of the fractional Riccati is ...
reza jalilian, hooman emadifar
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Images denoising in case impulse noise using spline approximation
MATEC Web of Conferences, 2018 Analytical equations of a new spline approximation method for filtering impulse noise in images are obtained. The proposed method differs from the known ones: when filtering images, one-dimensional sequential spline functions are used for direct and ...
Bezuglov Dmitriy A. +2 more
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Journal of Engineering, 2013 In this work we introduce a new family of splines termed as gamma splines for continuous signal approximation and multiresolution analysis. The gamma splines are born by -times convolution of the exponential by itself.
Hannu Olkkonen, Juuso T. Olkkonen
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Convex Approximation by Quadratic Splines
Journal of Approximation Theory, 1993 The author estimates the error of approximation by \(C^ 1\)-convex quadratic splines of a given convex function \(f\) without any smoothness requirements on its derivative in terms of \(\omega_ 3(f,{1 \over n})\). Actually, he proves the following main Theorem: Let \(f \in C[0,1]\) be a convex, and \(n\) a positive integer.
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On the Sensitivity of the Parameters of the Intensity-Based Stochastic Model for Terrestrial Laser Scanner. Case Study: B-Spline Approximation. [PDF]
Sensors (Basel), 2018 Kermarrec G, Alkhatib H, Neumann I.
europepmc +1 more source
Nonholonomic motion planning for a free-falling cat using spline approximation
, 2012 An optimal motion planning of a free-falling cat based on the spline approximation is investigated. Nonholonomicity arises in a free-falling cat subjected to nonintegrable velocity constraints or nonintegrable conservation laws.
郭正雄 +3 more
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