Sampling, Approximation, and Signal Analysis: Harmonic Analysis in the Spirit of J. Rowland Higgins
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The remaining articles are grouped into four sections – classical sampling, theoretical extensions, frame theory, and applications of sampling theory – and explore Higgins’ contributions to these areas, as well as some of the latest developments.
Stephen D. Casey is a Professor of Mathematics at American University. His work includes multichannel deconvolution and multi-rate sampling, sampling in Euclidean and non-Euclidean geometries, sampling for wideband signals, signal adaptive frame theory, and the analysis of pulse train signals. He has published over 70 articles and edited two books, and has given over one hundred and twenty talks. His research has been funded by twenty-four research grants and four contracts, and he was awarded three provisional patents and two full patents for work in signal processing. He received the 2019 Drew University Alumni Achievement Award in the Sciences.
Maurice Dodson is a Professor Emeritus of Mathematics at the University of York. He wrote over seventy papers, co-authored 1 book and co-edited another. His interests broadened to Diophantine approximation and the metrical theory and further to dynamical systems and their many applications, including the WKS sampling theorem and its variety of applications, the last stemming from a connection with X-ray crystallography. This led to meeting Rowland Higgins in 1985 and the start of a long productive collaboration, often with a number of authors, in sampling theory and its applications and extensions, particularly to LCA groups and Kluvanek's theorem and to sampling for function spaces.
Paulo Jorge S. G. Ferreira is a Professor of Electrical Engineering at University of Aveiro, Portugal. He serves as Rector of the University of Aveiro since May 2022, in his second term. He has been editor of international scientific journals in engineering and mathematics and he is author or co-author of works published in well-known scientific journals in the fields of Electrical Engineering, Computer Science, Agriculture, Bioinformatics, Mathematics, Physics and other fields. He is listed in the top 1% cited scientists in the so-called Stanford Ranking ("Updated science-wide author databases of standardized citation indicators", 2022).
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