Call for Papers

Abstract submission deadline: by the end of Friday March 10, 2023, Anywhere on Earth Full paper submission and co-author registration deadline: Friday March 17, 2023 AoE Supplementary materials submission deadline: Friday March 24, 2023 AoE Author notification: Wednesday May 10, 2023 AoE Camera-ready, poster, and video submission: Wednesday May 31, 2023 AoE The site will start accepting submissions on: Tuesday January 10th, 2023 The 14th annual conference on Sampling Theory and Applications is an interdisciplinary forum for mathematicians, engineers, and applied scientists to share recent advances in sampling theory and discuss trends in the field and its applications.

Speakers & Sessions

Our plenary speakers will include: Soledad Villar (Johns Hopkins) Laura Balzano (University of Michigan) Samory Kpotufe (Columbia University) Mark Iwen (Michigan State University) Holger Rauhut (Aachen University) Coralia Cartis (Oxford) Rebecca Willett (University of Chicago) We will host mini-sessions on topics including: Manifold learning from data Graph Signal Processing Topological Data Analysis Sampling Theory for Neural Activity Data

Announcing SampTA 2023

SampTA is back! This year’s Sampling Theory and Applications conference will be held at Yale University from July 10-14th, 2023. We have a Call for Papers on sampling theory, signal and image processing, and data analysis. Papers accepted by SampTA will be published in a special issue of Sampling Theory, Signal Processing, and Data Analysis. Our Plenary Speakers will include Coralia Cartis, Rebecca Willett, and Mark Iwen, among many others. See our full list here.

About

SampTA 2023 14th International conference on Sampling Theory and Applications This year’s Sampling Theory and Applications conference will be held at Yale University from July 10-14th, 2023. We have a Call for Papers on sampling theory, signal and image processing, and data analysis. Papers accepted by SampTA will be published in a special issue of Sampling Theory, Signal Processing, and Data Analysis. Our Plenary Speakers will include Coralia Cartis, Rebecca Willett, and Mark Iwen, among many others.