Imperial College London
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ProfessorPier LuigiDragotti

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor of Signal Processing
 
 
 
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Contact

 

+44 (0)20 7594 6192p.dragotti

 
 
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Location

 

814Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Murray-Bruce:2017:10.1109/SAMPTA.2017.8024415,
author = {Murray-Bruce, J and Dragotti, PL},
doi = {10.1109/SAMPTA.2017.8024415},
pages = {55--59},
publisher = {IEEE},
title = {Spatiotemporal Sampling Trade-off for Inverse Diffusion Source Problems},
url = {http://dx.doi.org/10.1109/SAMPTA.2017.8024415},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - We consider the spatiotemporal sampling of diffusion fields induced by M point sources, and study the associated inverse problem of recovering the initial parameters of the unknown sources. In particular, we focus on characterising qualitatively the error of the obtained source estimates. To achieve this, we obtain an expression with which we can trade the sensor density for performance accuracy. In other words, by evaluating the optimal sampling instant for a given sensor density-and using the corresponding field samples at that instant-we can expect to obtain an improvement in the estimation performance when compared to an arbitrary sampling instant. Finally, several numerical simulations are presented, to support the theoretical results obtained.
AU  - Murray-Bruce,J
AU  - Dragotti,PL
DO  - 10.1109/SAMPTA.2017.8024415
EP  - 59
PB  - IEEE
PY  - 2017///
SP  - 55
TI  - Spatiotemporal Sampling Trade-off for Inverse Diffusion Source Problems
UR  - http://dx.doi.org/10.1109/SAMPTA.2017.8024415
UR  - http://hdl.handle.net/10044/1/58632
ER  -
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