In the present paper we introduce the harmonic analysis of this non-stationary process, and argue that this is an important tool which helps in designing such ...
Mar 15, 2017 · In the present paper we introduce the harmonic analysis of this non-stationary process, and argue that this is an important tool which helps in designing such ...
Mar 15, 2017 · Kernel-based methods have been recently introduced for linear system identification as an alternative to parametric prediction.
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Choosing the kernel is one of the most challenging and important issues. In the present paper we introduce the harmonic analysis of this non-stationary process, ...
Choosing the kernel is one of the most challenging and important issues. In the present paper we introduce the harmonic analysis of this non-stationary process ...
2 - Harmonic functions; Poisson kernel. Published online by Cambridge University Press: 05 February 2013. Camil Muscalu and.
Jun 24, 2025 · In this work, we establish fundamental tools for investigating universality properties of kernels in Riemannian symmetric spaces, thereby ...
The purpose of this survey is to present a number of methods and principles which are of wide applicability in such branches of analysis as function theory.
Apr 6, 2016 · Poisson kernel is the density of harmonic measure with respect to the Lebesgue measure. Indeed, if E is a subset of the boundary, and ω(⋅,E) is a harmonic ...
Jan 7, 2024 · Eigenvalue decays of kernel matrices come up in most statistical and algorithmic analyses associated with kernel methods.
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