Funder
National Key R&D Program of China
Fundamental Research Funds for the Central Universities
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Signal Processing
Reference43 articles.
1. R. Abdolee, B. Champagne, A. H. Sayed, A diffusion LMS strategy for parameter estimation in noisy regressor applications, in: Proceedings of the 20th European Signal Processing Conference (EUSIPCO), IEEE, pp. 749753 (2012)
2. R. Arablouei, K. Dogancay, S. Werner, Y. Huang, Adaptive distributed estimation based on recursive least-squares and partial diffusion. IEEE Trans. Signal Process. 62(14), 3510–3522 (2014)
3. R. Arablouei, S. Werner, Y.F. Huang et al., Distributed least mean-square estimation with partial diffusion. IEEE Trans. Signal Process. 62(2), 472–484 (2014)
4. A. Bertrand, M. Moonen, Consensus-based distributed total least squares estimation in ad hoc wireless sensor networks. IEEE Trans. Signal Process. 59(5), 2320–2330 (2011)
5. A. Bertrand, M. Moonen, Low-complexity distributed total least squares estimation in ad hoc sensor networks. IEEE Trans. Signal Process. 60(8), 4321–4333 (2012)
Cited by
6 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