Diffusion LMS algorithms with information exchange

Conference Record - Asilomar Conference on Signals, Systems and Computers

Volumn , Issue , 2008, Pages 251-255

  Cattivelli, Federico S ^a   Sayed, Ali H ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DISTRIBUTED ESTIMATION; INFORMATION EXCHANGES; LMS ALGORITHMS; SIMULATION RESULT;

EID: 70349687419     PISSN: 10586393     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACSSC.2008.5074402     Document Type: Conference Paper

References (12)

1. A. H. Sayed and F. Cattivelli, "Distributed adaptive learning mechanisms," Handbook on Array Processing and Sensor Networks, S. Haykin and K. J. Ray Liu, editors, Wiley, NJ, 2009.
2. A. H. Sayed and C. G. Lopes, "Adaptive processing over distributed networks," IEICE Trans. on Fund. of Electronics, Communications and Computer Sciences, vol. E90-A, no. 8, pp. 1504-1510, August 2007.
3. C. G. Lopes and A. H. Sayed, "Incremental adaptive strategies over distributed networks," IEEE Trans. on Signal Processing, vol. 55, no. 8, pp. 4064-4077, August 2007.
4. C. G. Lopes and A. H. Sayed, "Diffusion least-mean squares over adaptive networks: Formulation and performance analysis," IEEE Trans. on Signal Processing, vol. 56, no. 7, pp. 3122-3136, July 2008.
5. F. S. Cattivelli, C. G. Lopes, and A. H. Sayed, "Diffusion recursive least-squares for distributed estimation over adaptive networks," IEEE Trans. on Signal Processing, vol. 56, no. 5, pp. 1865-1877, May 2008.
6. F. S. Cattivelli, C. G. Lopes, and A. H. Sayed, "Diffusion strategies for distributed Kalman filtering: Formulation and performance analysis," in Proc. Cognitive Information Processing, Santorini, Greece, June 2008.
7. F. S. Cattivelli and A. H. Sayed, "Diffusion mechanisms for fixedpoint distributed Kalman smoothing," in Proc. EUSIPCO, Lausanne, Switzerland, August 2008.
8. L. Xiao, S. Boyd, and S. Lall, "A space-time diffusion scheme for peerto- peer least-squares estimation," in Proc IPSN, Nashville, TN, April 2006, pp. 168-176.
9. I. D. Schizas, G. Mateos, and G. B. Giannakis, "Stability analysis of the consensus-based distributed LMS algorithm," in Proc. ICASSP, Las Vegas, NV, March 2008, pp. 3289-3292.
10. A. H. Sayed, Fundamentals of Adaptive Filtering, Wiley, NJ, 2003.
11. A. H. Sayed, Adaptive Filters, Wiley, NJ, 2008.
12. A. Nedic and D. Bertsekas, "Incremental subgradient methods for nondifferentiable optimization," SIAM J. Optim., vol. 12, no. 1, pp. 109-138, 2001.