Identifying Topology of Complex Networked System Based on Block Orthogonal Matching Pursuit and Nonlinear Conditional Granger Causality-Reference-Cited by-同舟云学术

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Identifying Topology of Complex Networked System Based on Block Orthogonal Matching Pursuit and Nonlinear Conditional Granger Causality

Published:2022-11-25 Issue: Volume: Page:
ISSN:
Container-title:2022 China Automation Congress (CAC)
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Author:

Zhou Ben¹,Yang Guanxue¹,Wang Zhaowei¹,Yang Guanxiao¹

Affiliation:

1. Jiangsu University,Department of Automation,Zhenjiang,China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10054511/10054645/10055616.pdf?arnumber=10055616

Reference23 articles.

1. Inferring gene regulatory networks from gene expression data by path consistency algorithm based on conditional mutual information

2. ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context

3. A block orthogonal matching pursuit algorithm based on sensing dictionary;anmin;International Journal of Physical Sciences,2011

4. Partial Mutual Information for Coupling Analysis of Multivariate Time Series

5. Momentary information transfer as a coupling measure of time series

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Fast Convergence Scheme for Distributed Consensus Time Synchronization Using Multihop Virtual Links in Industrial Wireless Sensor Networks;IEEE Sensors Journal;2024-06-15

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