Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Meyer Z. Pesenson"'
Publikováno v:
Advances in Astronomy, Vol 2010 (2010)
Recent and forthcoming advances in instrumentation, and giant new surveys, are creating astronomical data sets that are not amenable to the methods of analysis familiar to astronomers. Traditional methods are often inadequate not merely because of th
Externí odkaz:
https://doaj.org/article/36672659417840e68af934733e9b6599
Autor:
Isaac Z. Pesenson, Meyer Z. Pesenson
Publikováno v:
Journal of Fourier Analysis and Applications. 27
We consider a disjoint cover (partition) of an undirected weighted finite or infinite graph G by J connected subgraphs (clusters) $$\{S_{j}\}_{j\in J}$$ and select functions $$\psi _{j}$$ on each of the clusters. For a given signal f on G the set of
Autor:
Meyer Z. Pesenson, Isaac Z. Pesenson
Publikováno v:
Journal of Mathematical Analysis and Applications. 366(1):137-152
We introduce concepts of minimal immersions and bandlimited (Paley–Wiener) immersions of combinatorial weighted graphs (finite or infinite) into Euclidean spaces. The notion of bandlimited immersions generalizes the known concept of eigenmaps of gr
Publikováno v:
The Astrophysical Journal. 683:566-576
Astronomical applications of recent advances in the field of nonastronomical image processing are presented. These innovative methods, applied to multiscale astronomical images, increase signal-to-noise ratio, do not smear point sources or extended d
Publikováno v:
Information Science for Materials Discovery and Design ISBN: 9783319238708
Many present, emerging and future technologies rely upon the development high performance functional materials. For a given application, the performance of materials containing 1 or 2 elements from the periodic table have been evaluated using traditi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70f0e5693279c7d55daa1d8afefc23d3
https://doi.org/10.1007/978-3-319-23871-5_14
https://doi.org/10.1007/978-3-319-23871-5_14
Autor:
Misha Meyer Z. Pesenson
Publikováno v:
Multiscale Analysis and Nonlinear Dynamics
Since modeling multiscale phenomena in systems biology and neuroscience is a highly interdisciplinary task, the editor of the book invited experts in bio-engineering, chemistry, cardiology, neuroscience, computer science, and applied mathematics, to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d88b1b17d07b91d2facae8653125c8b
https://doi.org/10.1002/9783527671632
https://doi.org/10.1002/9783527671632
Autor:
Meyer Z. Pesenson
Publikováno v:
BMC Neuroscience, Vol 13, Iss Suppl 1, p O14 (2012)
BMC Neuroscience
BMC Neuroscience
Many important processes in neurobiology as well as neuronal engineering applications rely upon multiresolution representation and analysis of external information. There are various approaches which attempt to explain how human perception systems pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9bcd9a8a79df88591e0dc579cb9741a6
https://resolver.caltech.edu/CaltechAUTHORS:20131107-152204247
https://resolver.caltech.edu/CaltechAUTHORS:20131107-152204247
Autor:
Meyer Z. Pesenson, Isaac Z. Pesenson
Publikováno v:
Springer Proceedings in Mathematics ISBN: 9781461407713
We develop an approximation theory in Hilbert spaces that generalizes the classical theory of approximation by entire functions of exponential type. The results advance harmonic analysis on manifolds and graphs, thus facilitating data representation,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b622ad8edd44dc471c8ffe5737c67139
https://resolver.caltech.edu/CaltechAUTHORS:20200520-092646671
https://resolver.caltech.edu/CaltechAUTHORS:20200520-092646671
Autor:
Meyer Z. Pesenson, Isaac Z. Pesenson
We propose an adaptive multiscale approach to data analysis based on synchronization. The approach is nonlinear, data driven in the sense that it does not rely on a priori chosen basis, and automatically determines the data scale. Numerical results f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9810cfbb7c813385bc0547546415af3
https://resolver.caltech.edu/CaltechAUTHORS:20111122-081725292
https://resolver.caltech.edu/CaltechAUTHORS:20111122-081725292
Autor:
Meyer Z. Pesenson, Isaac Z. Pesenson
In this paper we address sampling and approximation of functions on combinatorial graphs. We develop filtering on graphs by using Schr\"odinger's group of operators generated by combinatorial Laplace operator. Then we construct a sampling theory by p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4e5bdec04622db556777bc4f8b4eb32
https://resolver.caltech.edu/CaltechAUTHORS:20101214-111854181
https://resolver.caltech.edu/CaltechAUTHORS:20101214-111854181