Results 171 to 180 of about 79,817 (224)

Unmasking insider threats using a robust hybrid optimized generative pretrained neural network approach. [PDF]

Sci Rep
Lavanya P, Glory HA, Aggarwal M, Sriram VSS.   +3 more
europepmc   +1 more source

Quantum AI in Speech Emotion Recognition. [PDF]

Entropy (Basel)
Norval M, Wang Z.
europepmc   +1 more source

Upper Bounds for Chebyshev Permutation Arrays. [PDF]

Entropy (Basel)
Bereg S, Miller Z, Sudborough IH.
europepmc   +1 more source

Synthesising a Fixed-Length Equispaced Linear Array to Produce Dolph-Chebyshev Patterns with Deep Nulls, a Desired Side Lobe Level and Different Beamwidths. [PDF]

Sensors (Basel)
Otero-Gómez I, López-Martín ME, Rodríguez-González JA, Ares-Pena FJ.   +3 more
europepmc   +1 more source

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CHEBYSHEV SETS

Journal of the Australian Mathematical Society, 2014
AbstractA Chebyshev set is a subset of a normed linear space that admits unique best approximations. In the first part of this paper we present some basic results concerning Chebyshev sets. In particular, we investigate properties of the metric projection map, sufficient conditions for a subset of a normed linear space to be a Chebyshev set, and ...
Fletcher, James, Moors, W
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Linear Chebyshev approximation without Chebyshev sets

BIT, 1976
The provision of algorithms for computing best Chebyshev approximations on a continuum by general linear combinations of continuous functions is considered. Four possible approaches are described, and detailed comparisons are given for some test problems.
Andreassen, D. O., Watson, G. A.
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Chebyshev–Schoenberg Operators

Constructive Approximation, 2010
The present paper generalizes the results of \textit{M.-L. Mazure} [Numer. Algorithms 52, No. 1, 93--128 (2009; Zbl 1200.41023)] to Schoenberg-type operators. It is shown that a given spline space based on a given extended Chebyshev space gives birth to infinitely many variation-diminishing operators of Schoenberg-type, characterized by the two ...
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Chebyshev–Bernstein bases

Computer Aided Geometric Design, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Chebyshev and Modified Chebyshev Filters

2019
Chebyshev (C) filters are among the most frequently used. Their transfer function is obtained via the characteristic function (which is introduced in this chapter) to offer the most selective polynomial filters of all. In addition, their amplitude characteristic in the passband is equi-ripple.
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Chebyshev quadrature

2013
Here we review Gautschi’s work on Chebyshev quadrature, first his 1975 survey paper, and then original work by him and his collaborators.
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