5,022 research outputs found
A Hilbert Space Theory of Generalized Graph Signal Processing
Graph signal processing (GSP) has become an important tool in many areas such
as image processing, networking learning and analysis of social network data.
In this paper, we propose a broader framework that not only encompasses
traditional GSP as a special case, but also includes a hybrid framework of
graph and classical signal processing over a continuous domain. Our framework
relies extensively on concepts and tools from functional analysis to generalize
traditional GSP to graph signals in a separable Hilbert space with infinite
dimensions. We develop a concept analogous to Fourier transform for generalized
GSP and the theory of filtering and sampling such signals
Endoscopic transfer of orbital integrals in large residual characteristic
This article constructs Shalika germs in the context of motivic integration,
both for ordinary orbital integrals and kappa-orbital integrals. Based on
transfer principles in motivic integration and on Waldspurger's endoscopic
transfer of smooth functions in characteristic zero, we deduce the endoscopic
transfer of smooth functions in sufficiently large residual characteristic.Comment: 33 page
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