Title
System Aliasing in Dynamic Network Reconstruction:Issues on Low Sampling Frequencies
Abstract
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
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 Yue100.34
Johan Thunberg213819.15
Tomas McKelvey312125.50
Ye Yuan443861.04
Goncalves, J.540442.24