Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/16031
Title: An uncertainty inequality
Contributor(s): de Hoog, Frank (author); Schmalz, Gerd  (author)orcid ; Gureyev, Timur  (author)orcid 
Publication Date: 2014
DOI: 10.1016/j.aml.2014.07.009
Handle Link: https://hdl.handle.net/1959.11/16031
Abstract: Recently, the authors derived an uncertainty relationship between noise and spatial resolution in linear computational imaging systems that is similar to the Heisenberg uncertainty principle for conjugate variables in quantum mechanics. Specifically, for linear shift-invariant systems with a fixed incident photon density, the product of noise and spatial resolution has a positive absolute lower limit which can be evaluated with the aid of the inequality.
Publication Type: Journal Article
Source of Publication: Applied Mathematics Letters, v.38, p. 84-86
Publisher: Elsevier Ltd
Place of Publication: United Kingdom
ISSN: 1873-5452
0893-9659
Fields of Research (FoR) 2008: 010599 Mathematical Physics not elsewhere classified
Fields of Research (FoR) 2020: 490299 Mathematical physics not elsewhere classified
Socio-Economic Objective (SEO) 2008: 970101 Expanding Knowledge in the Mathematical Sciences
Socio-Economic Objective (SEO) 2020: 280118 Expanding knowledge in the mathematical sciences
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article

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