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Accurate Quantization in Redundant S...
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New York University.
Accurate Quantization in Redundant Systems : = From Frames to Compressive Sampling and Phase Retrieval.
Record Type:
Language materials, manuscript : Monograph/item
Title/Author:
Accurate Quantization in Redundant Systems :/
Reminder of title:
From Frames to Compressive Sampling and Phase Retrieval.
Author:
Huynh, Thang.
Description:
1 online resource (116 pages)
Notes:
Source: Dissertation Abstracts International, Volume: 78-05(E), Section: B.
Contained By:
Dissertation Abstracts International78-05B(E).
Subject:
Applied mathematics. -
Online resource:
click for full text (PQDT)
ISBN:
9781369331844
Accurate Quantization in Redundant Systems : = From Frames to Compressive Sampling and Phase Retrieval.
Huynh, Thang.
Accurate Quantization in Redundant Systems :
From Frames to Compressive Sampling and Phase Retrieval. - 1 online resource (116 pages)
Source: Dissertation Abstracts International, Volume: 78-05(E), Section: B.
Thesis (Ph.D.)
Includes bibliographical references
We study quantization theory and analog-to-digital conversion methods in the settings of frame theory, compressive sampling, and phase retrieval. In the case of frames, we investigate the so-called "Synthesis Problem" of digitally approximating signals by linear combinations of frame vectors with binary coefficients. We obtain exponentially small bounds for the best achievable reconstruction error using random frames. In the setting of compressive sampling, we extend the distributed noise-shaping quantization method of Chou and Gunturk beyond the case of Gaussian measurements to randomly sampled measurements with respect to a bounded orthogonal system including random Fourier measurements. Finally, in the setting of phase retrieval, we apply the same noise shaping method to quantize phaseless measurements and obtain near-optimal recovery guarantees in the case of Gaussian measurements by using a modified version of the PhaseLift algorithm.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9781369331844Subjects--Topical Terms:
1069907
Applied mathematics.
Index Terms--Genre/Form:
554714
Electronic books.
Accurate Quantization in Redundant Systems : = From Frames to Compressive Sampling and Phase Retrieval.
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Accurate Quantization in Redundant Systems :
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From Frames to Compressive Sampling and Phase Retrieval.
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1 online resource (116 pages)
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Source: Dissertation Abstracts International, Volume: 78-05(E), Section: B.
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Adviser: Sinan Gunturk.
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Thesis (Ph.D.)
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New York University
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2016.
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Includes bibliographical references
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We study quantization theory and analog-to-digital conversion methods in the settings of frame theory, compressive sampling, and phase retrieval. In the case of frames, we investigate the so-called "Synthesis Problem" of digitally approximating signals by linear combinations of frame vectors with binary coefficients. We obtain exponentially small bounds for the best achievable reconstruction error using random frames. In the setting of compressive sampling, we extend the distributed noise-shaping quantization method of Chou and Gunturk beyond the case of Gaussian measurements to randomly sampled measurements with respect to a bounded orthogonal system including random Fourier measurements. Finally, in the setting of phase retrieval, we apply the same noise shaping method to quantize phaseless measurements and obtain near-optimal recovery guarantees in the case of Gaussian measurements by using a modified version of the PhaseLift algorithm.
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Ann Arbor, Mich. :
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ProQuest,
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2018
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Mode of access: World Wide Web
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Applied mathematics.
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click for full text (PQDT)
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