Please use this identifier to cite or link to this item:
https://lib.hpu.edu.vn/handle/123456789/23582
Title: | Data based reconstruction of complex geospatial networks, nodal positioning and detection of hidden nodes |
Authors: | Su, Ri-Qi |
Keywords: | Physics Mathematical modelling Time-series analysis Network reconstruction Geospatial network Compressive sensing |
Issue Date: | 2016 |
Abstract: | Given a complex geospatial network with nodes distributed in a two-dimensional region of physical space, can the locations of the nodes be determined and their connection patterns be uncovered based solely on data? We consider the realistic situation where time series/signals can be collected from a single location. A key challenge is that the signals collected are necessarily time delayed, due to the varying physical distances from the nodes to the data collection centre. To meet this challenge, we develop a compressive-sensing-based approach enabling reconstruction of the full topology of the underlying geospatial network and more importantly, accurate estimate of the time delays. |
URI: | https://lib.hpu.edu.vn/handle/123456789/23582 |
Appears in Collections: | Education |
Files in This Item:
File | Description | Size | Format | |
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0573_Databasedreconstruction.pdf Restricted Access | 1.24 MB | Adobe PDF | ![]() View/Open Request a copy |
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