Abstract | ||
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Network reconstruction of dynamical continuous-time (CT) systems is motivated by applications in many fields. Due to experimental limitations, especially in biology, data can be sampled at low frequencies, leading to significant challenges in network inference. We introduce the concept of “system aliasing” and characterize the minimal sampling frequency that allows reconstruction of CT systems fro... |
Year | DOI | Venue |
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2021 | 10.1109/TAC.2020.3042487 | IEEE Transactions on Automatic Control |
Keywords | DocType | Volume |
Covariance matrices,Stochastic processes,Sparse matrices,Frequency measurement,Computational modeling,Biomedical measurement,Mathematical model | Journal | 66 |
Issue | ISSN | Citations |
12 | 0018-9286 | 0 |
PageRank | References | Authors |
0.34 | 6 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zuogong Yue | 1 | 0 | 0.34 |
Johan Thunberg | 2 | 138 | 19.15 |
Tomas McKelvey | 3 | 121 | 25.50 |
Ye Yuan | 4 | 438 | 61.04 |
Goncalves, J. | 5 | 404 | 42.24 |