Results 31 to 40 of about 9,704,991 (211)
B-spline neural network based single-carrier frequency domain equalisation for Hammerstein channels
, 2014 A practical single-carrier (SC) block transmission with frequency domain equalisation (FDE) system can generally be modelled by the Hammerstein system that includes the nonlinear distortion effects of the high power amplifier (HPA) at transmitter.
Xia Hong +5 more
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The system identification and control of Hammerstein system using non-uniform rational B-spline neural network and particle swarm optimization [PDF]
, 2012 In this paper a new system identification algorithm is introduced for Hammerstein systems based on observational input/output data. The nonlinear static function in the Hammerstein system is modelled using a non-uniform rational B-spline (NURB) neural ...
Xia Hong +3 more
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Ternary Coded Melody as Blind Audio Watermark
Telfor Journal, 2020 In this paper, we developed a new technique for blind embedding of ternary coded watermarks into audio files. Usage of ternary coding increases payload of the method that can be considered as an advantage against binary-coded watermarks.
R. Kh. Latypov, E. L. Stolov
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Locally Controllable Attitude B-Spline Function
IEEE AccessContinuous attitude spline functions are used in computer animation and in the generation of virtual inertial sensor data. Unlike the B-spline functions in $R^{3}$ , it is not easy to locally control attitude the B-spline function in $SO(3)$ .
Young Soo Suh
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Parametric Curve Comparison for Modeling Floating Offshore Wind Turbine Substructures
Energies, 2023 The drive for the cost reduction of floating offshore wind turbine (FOWT) systems to the levels of fixed bottom foundation turbine systems can be achieved with creative design and analysis techniques of the platform with free-form curves to save ...
Adebayo Ojo +2 more
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Systolic algorithms for B-spline patch generation
, 1991 A systolic array for constructing the blending functions of B-spline curves and surfaces is described and shown to be 7k times faster than the equivalent sequential computation.
Megson, G.M.
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Convergence of Integro Quartic and Sextic B-Spline interpolation [PDF]
Sahand Communications in Mathematical Analysis, 2018 In this paper, quadratic and sextic B-splines are used to construct an approximating function based on the integral values instead of the function values at the knots.
Jafar Ahmadi Shali +3 more
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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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Stretch-Energy-Minimizing B-Spline Interpolation Curves and Their Applications
Mathematics, 2023 In this paper, we propose a new method to construct energy-minimizing cubic B-spline interpolation curves by minimizing the approximated stretch energy. The construction of a B-spline interpolation curve with a minimal approximated stretch energy can be ...
Qian Ni, Chen Xie
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Journal of Computational and Applied Mathematics, 1994 The main subject of this paper is the convolution of spline functions. In particular, the author gives an expression for the convolution of a spline over nonuniform knots with \(B\)-splines as a linear combination of \(B\)-splines of higher order. The coefficients are expressed in terms of divided differences and can be evaluated by a stable recurrence
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