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IMPROVED EXACT DISTRIBUTED RLS ALGORITHM FOR DECENTRALIZED ESTIMATION OVER SENSOR NETWORKS

Year 2008, Volume: 8 Issue: 2, 725 - 731, 02.01.2012

Abstract

IMPROVED EXACT DISTRIBUTED RLS ALGORITHM FOR DECENTRALIZED ESTIMATION OVER SENSOR NETWORKS

References

  • J. F. Chamberland and V. V. Veeravalli, “Wireless sensors in distributed detection applications,” IEEE signal processing magazine, vol. 24, pp, 16-25, May 2007.
  • D. Bertsekas, “A new class of incremental gradient methods for least squares problems,” SIAM J. Optim., vol.7, no. 4, pp. 913-926, Nov.1997.
  • C. Lopes and A. H. Sayed, "Distributed adaptive incremental strategies: Formulation and performance analysis," Proc. ICASSP, Toulouse, France, vol. 3, pp. 584-587, May 2006.
  • C. Lopes and A. H. Sayed, "Distributed processing over adaptive networks," Proc. Adaptive Sensor Array Processing Workshop, MIT Lincoln Laboratory, MA, June 2006.
  • C. G. Lopes and A. H. Sayed, ''Incremental adaptive strategies over distributed networks,'' IEEE Transactions on Signal Processing, vol. 55, no. 8, pp. 4064-4077, August 2007.
  • A. H. Sayed and C. Lopes, "Distributed recursive least-squares strategies over adaptive networks," Proc. 40th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, pp. 233-237, October-November, 2006.
  • C. G. Lopes and A. H. Sayed, ''Diffusion least-mean-squares over adaptive networks,'' Proc. ICASSP, Honolulu, Hawaii, vol. 3, pp. 917-920, April 2007.
  • F. Cattivelli, C. G. Lopes, and A. H. Sayed, ''A diffusion RLS scheme for distributed estimation over adaptive networks,'' Proc. IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Helsinki, Finland, pp. 1-5, June 2007.
  • C. G. Lopes, and A. H. Sayed, ''Steadystate performance of adaptive diffusion least-mean squares,'' Proc. IEEE Workshop on Statistical Signal Processing (SSP), pp. 136-140, Madison, WI, August 2007.
  • C. G. Lopes and A. H. Sayed, ''Diffusion least-mean squares over adaptive networks: Formulation and performance analysis,'' to appear in IEEE Transactions on Signal Processing, 2008.
  • F. Cattivelli, C. G. Lopes, and A. H. Sayed, ''Diffusion recursive least-squares for distributed estimation over adaptive networks,'' IEEE Transactions on Signal Processing, Vol: 56, Issue 5, pp.1865 – 1877, May 2008. Azam Khalili was born in 1982 in Iran. He received the B.S. degree from K.N Toosi University of technology, Tehran Iran, and the M.S. degree from the University of Tabriz, Iran, in 2005 and 2007, respectively, where she is currently pursuing the Ph.D. degree in electrical engineering. Her current research interests are statistical signal processing, distributed adaptive estimation, as well as speech processing. Amir Rastegarnia was born in 1981 in Iran. He received the B.S. degree and the M.S. degree in electrical engineering from the University of Tabriz, Iran, in 2004 and 2006, respectively, where he is currently pursuing the Ph.D. degree in electrical engineering. His current research interests are theory and methods for adaptive and statistical signal processing, distributed adaptive estimation, as well as signal processing for communications. He is an IEEE student member.
  • Mohammad Ali Tinati was born in 1953 in Iran. He received his B.S. degree (with high honor) in 1977, his M.S. degree in 1978 from Northeastern University, Boston, Mass, USA, and his Ph.D. degree from Adelaide University, Australia, in 1999. He had a long affiliation with the University of Tabriz, Iran. He served as an academic member of the Faculty of Electrical Engineering since 1979. His main research interests are biomedical signal processing and speech and image processing.
Year 2008, Volume: 8 Issue: 2, 725 - 731, 02.01.2012

Abstract

References

  • J. F. Chamberland and V. V. Veeravalli, “Wireless sensors in distributed detection applications,” IEEE signal processing magazine, vol. 24, pp, 16-25, May 2007.
  • D. Bertsekas, “A new class of incremental gradient methods for least squares problems,” SIAM J. Optim., vol.7, no. 4, pp. 913-926, Nov.1997.
  • C. Lopes and A. H. Sayed, "Distributed adaptive incremental strategies: Formulation and performance analysis," Proc. ICASSP, Toulouse, France, vol. 3, pp. 584-587, May 2006.
  • C. Lopes and A. H. Sayed, "Distributed processing over adaptive networks," Proc. Adaptive Sensor Array Processing Workshop, MIT Lincoln Laboratory, MA, June 2006.
  • C. G. Lopes and A. H. Sayed, ''Incremental adaptive strategies over distributed networks,'' IEEE Transactions on Signal Processing, vol. 55, no. 8, pp. 4064-4077, August 2007.
  • A. H. Sayed and C. Lopes, "Distributed recursive least-squares strategies over adaptive networks," Proc. 40th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, pp. 233-237, October-November, 2006.
  • C. G. Lopes and A. H. Sayed, ''Diffusion least-mean-squares over adaptive networks,'' Proc. ICASSP, Honolulu, Hawaii, vol. 3, pp. 917-920, April 2007.
  • F. Cattivelli, C. G. Lopes, and A. H. Sayed, ''A diffusion RLS scheme for distributed estimation over adaptive networks,'' Proc. IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Helsinki, Finland, pp. 1-5, June 2007.
  • C. G. Lopes, and A. H. Sayed, ''Steadystate performance of adaptive diffusion least-mean squares,'' Proc. IEEE Workshop on Statistical Signal Processing (SSP), pp. 136-140, Madison, WI, August 2007.
  • C. G. Lopes and A. H. Sayed, ''Diffusion least-mean squares over adaptive networks: Formulation and performance analysis,'' to appear in IEEE Transactions on Signal Processing, 2008.
  • F. Cattivelli, C. G. Lopes, and A. H. Sayed, ''Diffusion recursive least-squares for distributed estimation over adaptive networks,'' IEEE Transactions on Signal Processing, Vol: 56, Issue 5, pp.1865 – 1877, May 2008. Azam Khalili was born in 1982 in Iran. He received the B.S. degree from K.N Toosi University of technology, Tehran Iran, and the M.S. degree from the University of Tabriz, Iran, in 2005 and 2007, respectively, where she is currently pursuing the Ph.D. degree in electrical engineering. Her current research interests are statistical signal processing, distributed adaptive estimation, as well as speech processing. Amir Rastegarnia was born in 1981 in Iran. He received the B.S. degree and the M.S. degree in electrical engineering from the University of Tabriz, Iran, in 2004 and 2006, respectively, where he is currently pursuing the Ph.D. degree in electrical engineering. His current research interests are theory and methods for adaptive and statistical signal processing, distributed adaptive estimation, as well as signal processing for communications. He is an IEEE student member.
  • Mohammad Ali Tinati was born in 1953 in Iran. He received his B.S. degree (with high honor) in 1977, his M.S. degree in 1978 from Northeastern University, Boston, Mass, USA, and his Ph.D. degree from Adelaide University, Australia, in 1999. He had a long affiliation with the University of Tabriz, Iran. He served as an academic member of the Faculty of Electrical Engineering since 1979. His main research interests are biomedical signal processing and speech and image processing.
There are 12 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Azam Khalılı This is me

Amir Rastegarnıa This is me

Mohammad-Ali Tınatı This is me

Publication Date January 2, 2012
Published in Issue Year 2008 Volume: 8 Issue: 2

Cite

APA Khalılı, A., Rastegarnıa, A., & Tınatı, M.-A. (2012). IMPROVED EXACT DISTRIBUTED RLS ALGORITHM FOR DECENTRALIZED ESTIMATION OVER SENSOR NETWORKS. IU-Journal of Electrical & Electronics Engineering, 8(2), 725-731.
AMA Khalılı A, Rastegarnıa A, Tınatı MA. IMPROVED EXACT DISTRIBUTED RLS ALGORITHM FOR DECENTRALIZED ESTIMATION OVER SENSOR NETWORKS. IU-Journal of Electrical & Electronics Engineering. January 2012;8(2):725-731.
Chicago Khalılı, Azam, Amir Rastegarnıa, and Mohammad-Ali Tınatı. “IMPROVED EXACT DISTRIBUTED RLS ALGORITHM FOR DECENTRALIZED ESTIMATION OVER SENSOR NETWORKS”. IU-Journal of Electrical & Electronics Engineering 8, no. 2 (January 2012): 725-31.
EndNote Khalılı A, Rastegarnıa A, Tınatı M-A (January 1, 2012) IMPROVED EXACT DISTRIBUTED RLS ALGORITHM FOR DECENTRALIZED ESTIMATION OVER SENSOR NETWORKS. IU-Journal of Electrical & Electronics Engineering 8 2 725–731.
IEEE A. Khalılı, A. Rastegarnıa, and M.-A. Tınatı, “IMPROVED EXACT DISTRIBUTED RLS ALGORITHM FOR DECENTRALIZED ESTIMATION OVER SENSOR NETWORKS”, IU-Journal of Electrical & Electronics Engineering, vol. 8, no. 2, pp. 725–731, 2012.
ISNAD Khalılı, Azam et al. “IMPROVED EXACT DISTRIBUTED RLS ALGORITHM FOR DECENTRALIZED ESTIMATION OVER SENSOR NETWORKS”. IU-Journal of Electrical & Electronics Engineering 8/2 (January 2012), 725-731.
JAMA Khalılı A, Rastegarnıa A, Tınatı M-A. IMPROVED EXACT DISTRIBUTED RLS ALGORITHM FOR DECENTRALIZED ESTIMATION OVER SENSOR NETWORKS. IU-Journal of Electrical & Electronics Engineering. 2012;8:725–731.
MLA Khalılı, Azam et al. “IMPROVED EXACT DISTRIBUTED RLS ALGORITHM FOR DECENTRALIZED ESTIMATION OVER SENSOR NETWORKS”. IU-Journal of Electrical & Electronics Engineering, vol. 8, no. 2, 2012, pp. 725-31.
Vancouver Khalılı A, Rastegarnıa A, Tınatı M-A. IMPROVED EXACT DISTRIBUTED RLS ALGORITHM FOR DECENTRALIZED ESTIMATION OVER SENSOR NETWORKS. IU-Journal of Electrical & Electronics Engineering. 2012;8(2):725-31.