Spatial whitening framework for distributed estimation

2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011

Volumn , Issue , 2011, Pages 293-296

  Kar, Swarnendu ^a   Varshney, Pramod K ^a   Chen, Hao ^b  

^a Syracuse University   (United States)

^b Boise State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIT ALLOCATION; COMPUTATIONAL LIMITATIONS; CONSTRAINED SENSORS; CORRELATED DATA; DISTRIBUTED ESTIMATION; FUSION CENTER; ITERATIVE OPTIMIZATION; LARGE NETWORKS; PRIVATE INFORMATION; PROBLEM FORMULATION; RESOURCE ALLOCATION STRATEGIES; WHITENING TRANSFORMATION;

SENSOR NETWORKS;

COMPUTER RESOURCE MANAGEMENT;

EID: 84863147756     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CAMSAP.2011.6136007     Document Type: Conference Paper

References (17)

1. A. Ribeiro and G. B. Giannakis, "Bandwidth-constrained distributed estimation for wireless sensor networks-Part I: Gaussian case," Signal Processing, IEEE Transactions on, vol. 54, no. 3, pp. 1131-1143, 2006. (Pubitemid 43280586)
2. P. K. Varshney, Distributed Detection and Data Fusion. New York: Springer, 1997.
3. A. Krasnopeev, J.-J. Xiao, and Z.-Q. Luo, "Minimum energy decentralized estimation in a wireless sensor network with correlated sensor noises," EURASIP J. on Wireless Communications and Networking, vol. 4, pp. 473-482, 2005. (Pubitemid 41729856)
4. M. Gastpar, P. Dragotti, and M. Vetterli, "The distributed Karhunen-Loève transform," Information Theory, IEEE Transactions on, vol. 52, no. 12, pp. 5177-5196, Dec. 2006.
5. Z. Zhu and Y. Liu, "Estimating spatial covariance using penalised likelihood with weighted L1 penalty," Journal of Nonparametric Statistics, vol. 21, no. 7, pp. 925-942, 2009.
6. H. Zou, T. Hastie, and R. Tibshirani, "Sparse principal component analysis," Journal of Computational and Graphical Statistics, vol. 15, no. 2, pp. 265-286, 2006. (Pubitemid 43935978)
7. M. Ulfarsson and V. Solo, "Vector l0 sparse variable PCA," Signal Processing, IEEE Transactions on, vol. 59, no. 5, pp. 1949-1958, May. 2011.
8. S. Venkatesan, L. Mailaender, and J. Salz, "An iterative algorithm for computing a spatial whitening filter," in Signal Processing Advances in Wireless Communications, 2004 IEEE 5th Workshop on, July 2004.
9. A. Dimakis, S. Kar, J. Moura, M. Rabbat, and A. Scaglione, "Gossip algorithms for distributed signal processing," Proceedings of the IEEE, vol. 98, no. 11, pp. 1847-1864, Nov. 2010.
10. L. Vandenberghe, S. Boyd, and S. Wu, "Determinant maximization with linear matrix inequality constraints," SIAM Journal on Matrix Analysis and Applications, vol. 19, no. 2, pp. 499-533, 1998.
11. M. Cetin, L. Chen, J.W. Fisher III, A. Ihler, R. Moses, M. Wainwright, and A. Willsky, "Distributed fusion in sensor networks-A graphical models perspective," Signal Processing Magazine, IEEE, vol. 23, no. 4, pp. 42-55, July 2006. (Pubitemid 44111505)
12. I. Dhillon and J. Tropp, "Matrix nearness problems with Bregman divergences," SIAM Journal on Matrix Analysis and Applications, vol. 29, no. 4, pp. 1120-1146, 2007.
13. J. R. Magnus and H. Neudecker, Matrix differential calculus with applications in statistics and econometrics. New York: John Wiley, 1999.
14. S. Kar, H. Chen, and P. Varshney, "Log-determinant divergence based spatial whitening," In preparation.
15. J. Li and G. AlRegib, "Rate-constrained distributed estimation in wireless sensor networks," Signal Processing, IEEE Transactions on, vol. 55, no. 5, pp. 1634-1643, May. 2007. (Pubitemid 46691618)
16. S. M. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory. Englewood Cliffs, NJ: Prentice Hall, 1993.
17. N. Freris, H. Kowshik, and P. Kumar, "Fundamentals of large sensor networks: Connectivity, capacity, clocks, and computation," Proceedings of the IEEE, vol. 98, no. 11, pp. 1828-1846, Nov. 2010.