Results 31 to 40 of about 4,390,707 (282)
Optimization of the 2P fifth degree convolution kernel in the spectral domain [PDF]
Bulletin of Natural Sciences Research, 2023 The first part of the paper describes a two-parameter (2P) fifth-order interpolation kernel, r. After that, from the 2P kernel, the kernel components were created.
Savić Nataša +2 more
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A convolution particle filtering approach for tracking elliptical extended objects [PDF]
, 2013 This paper proposes a convolution particle filtering approach for extended object tracking. Convolution particle filters (CPFs) are likelihood free filters. They are based on convolution kernel probability density representation.
Gning, Amadou +3 more
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Completely positive quantum stochastic convolution cocycles and their dilations. [PDF]
, 2007 Stochastic generators of completely positive and contractive quantum stochastic convolution cocycles on a C*-hyperbialgebra are characterised. The characterisation is used to obtain dilations and stochastic forms of Stinespring decomposition for ...
Skalski, Adam G., Adam G. Skalski
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Dirichlet Series and Convolution Equations
Publications of the Research Institute for Mathematical Sciences, 1988 There are two main methods to study analytic continuation properties of Dirichlet series \[ f(s)=\sum_{n\geq 1}a_ ne^{\lambda_ ns}\quad with\quad finite\quad density, \] i.e., \(n/\lambda_ n=0(1)\). One is due to Hadamard and consists of the use of entire functions \(\gamma\) that interpolate the values \(a_ n\) at the points \(z=\lambda_ n\) (cf ...
Berenstein, C. A., Struppa, Daniele C.
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A T-CNN time series classification method based on Gram matrix
Scientific Reports, 2022 Time series classification is a basic task in the field of streaming data event analysis and data mining. The existing time series classification methods have the problems of low classification accuracy and low efficiency.
Junlu Wang +4 more
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Fourier Series and Transforms via Convolution
CoRR, 2022 In this paper we show an alternative way of defining Fourier Series and Transform by using the concept of convolution with exponential signals. This approach has the advantage of simplifying proofs of transforms properties and, in our view, may be interesting for educational purposes.
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Properties of convolutions for hypergeometric series with univalent functions [PDF]
Advances in Difference Equations, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kim, Ji A., Cho, Nak Eun
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Multiple Dirichlet series and shifted convolutions
Journal of Number Theory, 2016 We define, and obtain the meromorphic continuation of, shifted Rankin-Selberg convolutions in one and two variables. As sample applications, this continuation is used to obtain estimates for single and double shifted sums and a Burgess-type bound for $L$-series associated to modular forms of arbitrary central character.
Jeff Hoffstein +2 more
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Context-Aware Traffic Prediction Framework Based on Series Decomposition
IEEE Access, 2020 Forecasting traffic flow is a typical time series problem, which has attracted increasing attention due to the urgent need in intelligent transportation systems.
Tao Ruan +6 more
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Depth Separable-CNN for Improved Spectral Super-Resolution
IEEE Access, 2023 Hyperspectral Image reconstruction from RGB images is a low-cost and convenient alternative to acquiring hyperspectral images directly. The challenge in estimating the spectral response function and using it for generating the hyperspectral image data is
Sadia Hussain, Brejesh Lall
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