Results 1 to 10 of about 9,352 (243)
Online Multi-Parameter Identification for PMSM Parameter Monitoring Based on a ZOH Model and Dual-Sampling Strategy [PDF]
SensorsThe accuracy of online parameter identification for permanent magnet synchronous motors (PMSMs) is constrained by discrete model errors, rank deficiency in the steady-state identification matrix, and voltage deviations resulting from inverter ...
Sidong He +4 more
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A variational framework for residual-based adaptivity in neural PDE solvers and operator learning [PDF]
npj Artificial IntelligenceResidual-based adaptive strategies are widely used in scientific machine learning yet remain largely heuristic. We introduce a variational framework that formalizes these methods through convex transformations of the residual, where different ...
Juan Diego Toscano +4 more
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Sampling Discretization of Integral Norms [PDF]
Constructive Approximation, 2021 The paper is devoted to discretization of integral norms of functions from a given finite dimensional subspace. Even though this problem is extremely important in applications, its systematic study has begun recently.
Dai, F. +4 more
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Universal Sampling Discretization
Constructive Approximation, 2023 Let $X_N$ be an $N$-dimensional subspace of $L_2$ functions on a probability space $( , )$ spanned by a uniformly bounded Riesz basis $ _N$. Given an integer $1\leq v\leq N$ and an exponent $1\leq q\leq 2$, we obtain universal discretization for integral norms $L_q( , )$ of functions from the collection of all subspaces of $X_N$ spanned by $v ...
Dai, F., Temlyakov, V.
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Discrete Gaussian Sampling [PDF]
IEEE Transactions on Computers, 2019 In this chapter we propose an efficient hardware implementation of a discrete Gaussian sampler for ring-LWE encryption schemes. The proposed sampler architecture is based on the Knuth-Yao sampling Algorithm [10]. It has high precision and large tail-bound to keep the statistical distance below \(2^{-90}\) to the true Gaussian distribution for the ...
Sujoy Sinha Roy, Ingrid Verbauwhede
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Компьютерная оптика, 2021 A nonparametric algorithm for automatic classification of large statistical data sets is proposed. The algorithm is based on a procedure for optimal discretization of the range of values of a random variable. A class is a compact group of observations of
I.V. Zenkov +5 more
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On sampling discretization in L2
Journal of Mathematical Analysis and Applications, 2022 20 pages, presentation ...
Limonova, I., Temlyakov, V.
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A New Discretization Scheme for the Non-Isotropic Stockwell Transform
Mathematics, 2023 To avoid the undesired angular expansion of the sampling grid in the discrete non-isotropic Stockwell transform, in this communication we propose a scale-dependent discretization scheme that controls both the radial and angular expansions in unison ...
Hari M. Srivastava +2 more
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Pruned Discrete Random Samples [PDF]
Journal of Applied Probability, 2013 Let Xi,i ∈ ℕ, be independent and identically distributed random variables with values in ℕ0. We transform (‘prune’) the sequence {X1,…,Xn},n∈ ℕ, of discrete random samples into a sequence {0,1,2,…,Yn}, n∈ ℕ, of contiguous random sets by replacing Xn+1 with Yn +1 if Xn+1 >Yn. We consider the asymptotic behaviour of Yn as n→∞.
Grübel, Rudolf, Hitczenko, Paweł
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Techniques of sampling the energy characteristics of two-dimensional random signals
Компьютерная оптика, 2022 The article is devoted to methods of discretization of energy characteristics of two-dimensional random signals when simulating random signals using the original harmonic method, which is a generalization of the well-known algorithm proposed by V.
V.V. Syuzev +3 more
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