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Error bounds for limited-data chemical species tomography

N. Polydorides, S-A. Tsekenis, H. McCann, V-D. A. Prat, P. Wright

2016;.

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Abstract

We present a computationally efficient reconstruction method for the limited-data chemical species tomography problem that incorporates projection of the unknown gas concentration function onto a low-dimensional subspace, and regularisation using prior information obtained from a simple flow model. In this context, the contribution of this work is on the analysis of the projection-induced data errors and the calculation of bounds for the overall image error incorporating the impact of projection and regularisation errors as well as measurement noise. As an extension to this methodology we present a variant algorithm that preserves the positivity of the concentration image.

Keyword(s)

image reconstruction; regularisation; tomography

Bibliographic metadata

Type of resource:

text

Content type:

Journal article

Publication status:

Accepted

Publication type:

Original research

Publication form:

Academic journal article

Author list:

N. Polydorides, S-A. Tsekenis, H. McCann, V-D. A. Prat, P. Wright

Published date:

2016

Accepted date:

2016-02-16

Article title:

Error bounds for limited-data chemical species tomography

Language:

eng

Publishers website:

https://royalsociety.org/journals/

Funding awarded to University:

EPSRC - RESEPSRC

Funding awarded externally:

EPSRC

Attached files embargo period:

Immediate release

Attached files release date:

2nd March, 2016

Access state:

Active

Institutional metadata

University researcher(s):

Wright, Paul

Academic department(s):

Record metadata

Manchester eScholar ID:

uk-ac-man-scw:298129

Created by:

Wright, Paul

Created:

2nd March, 2016, 13:03:17

Last modified by:

Wright, Paul

Last modified:

2nd March, 2016, 13:41:18