Abstract: A linear visual servoing is based on linear approximation of kinematics made by a constant matrix. The combination of binocular visual space and configuration of a human upper limb and human ...
Abstract: This paper studies the approximation, in least square sense, of a nonlinear system with a linear system, when the measurements are made with periodic signals with a high number of harmonics.
A python implementation of the algorithm used to generate optimal piecewise linear approximations of convex functions proposed by Imamoto and Tang [[1]](#Citations). The algorithm uses an iterative ...
Asymmetric normed spaces extend the classical framework of normed spaces by allowing the distance function to lack the symmetry property. This refinement facilitates the capture of directional or ...
This is a preview. Log in through your library . Abstract We study the approximation properties of some general finite-element spaces constructed using improved graded meshes. In our results, either ...
ABSTRACT: Nonlinear approximation is widely used in signal processing. Real-life signals can be modeled as functions of bounded variation. Thus the variable knot of approximating function could be ...
ABSTRACT: Parameter estimation by maximizing the marginal likelihood function in generalized linear mixed models (GLMMs) is highly challenging because it may involve analytically intractable ...
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