Sampling time-resolved phenomena
Thesis: Ph. D., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2018
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Format: | Thesis |
Language: | eng |
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Massachusetts Institute of Technology
2020
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Online Access: | https://hdl.handle.net/1721.1/128455 |
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author | Bhandari, Ayush. |
author2 | Ramesh Raskar. |
author_facet | Ramesh Raskar. Bhandari, Ayush. |
author_sort | Bhandari, Ayush. |
collection | MIT |
description | Thesis: Ph. D., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2018 |
first_indexed | 2024-09-23T09:04:54Z |
format | Thesis |
id | mit-1721.1/128455 |
institution | Massachusetts Institute of Technology |
language | eng |
last_indexed | 2024-09-23T09:04:54Z |
publishDate | 2020 |
publisher | Massachusetts Institute of Technology |
record_format | dspace |
spelling | mit-1721.1/1284552020-11-13T03:31:33Z Sampling time-resolved phenomena Bhandari, Ayush. Ramesh Raskar. Program in Media Arts and Sciences (Massachusetts Institute of Technology) Program in Media Arts and Sciences (Massachusetts Institute of Technology) Program in Media Arts and Sciences Thesis: Ph. D., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2018 Cataloged from student-submitted PDF of thesis. Includes bibliographical references (pages 193-210). Broadly speaking, time-resolved phenomena refers to three dimensional capture of a scene based on the time-of-flight principle. Since speed and and time are proportional quantities, knowing time-of-flight allows one to estimate distances. This time-of-flight may be attributed to a pulse of light or a wave packet of sound. Depending on the sub-band of the electromagnetic spectrum, the interaction of waves or pulses with the scene of interest results in measurements and based on this proxy of the physical world, one is interested in inferring physical properties of the scene. This may be something simple as depth, or something more involved such as fluorescence lifetime of a biological sample or the diffusion coefficient of turbid/scattering medium. The goal of this work is to develop a unifying approach to study time-resolved phenomena across various sub-bands of the electromagnetic spectrum, devise algorithms to solve for the corresponding inverse problems and provide fundamental limits. Sampling theory, which deals with the interplay between the discrete and the continuous realms, plays a critical role in this work due to the continuous nature of physical world and the discrete nature of its proxy, that is, the time-resolved measurements. by Ayush Bhandari. Ph. D. Ph.D. Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences 2020-11-12T18:14:15Z 2020-11-12T18:14:15Z 2018 2018 Thesis https://hdl.handle.net/1721.1/128455 1204222613 eng MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided. http://dspace.mit.edu/handle/1721.1/7582 210 pages application/pdf Massachusetts Institute of Technology |
spellingShingle | Program in Media Arts and Sciences Bhandari, Ayush. Sampling time-resolved phenomena |
title | Sampling time-resolved phenomena |
title_full | Sampling time-resolved phenomena |
title_fullStr | Sampling time-resolved phenomena |
title_full_unstemmed | Sampling time-resolved phenomena |
title_short | Sampling time-resolved phenomena |
title_sort | sampling time resolved phenomena |
topic | Program in Media Arts and Sciences |
url | https://hdl.handle.net/1721.1/128455 |
work_keys_str_mv | AT bhandariayush samplingtimeresolvedphenomena |