Dergiler / Electrica / 2008 / Cilt: 8 Sayı: 2

IMPROVED EXACT DISTRIBUTED RLS ALGORITHM FOR DECENTRALIZED ESTIMATION OVER SENSOR NETWORKS

Sayfa
725–731
Yayın Tarihi
2012-01-02
DOI
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IMPROVED EXACT DISTRIBUTED RLS ALGORITHM FOR DECENTRALIZED ESTIMATION OVER SENSOR NETWORKS

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Amaç & Hipotez:IMPROVED EXACT DISTRIBUTED RLS ALGORITHM FOR DECENTRALIZED ESTIMATION OVER SENSOR NETWORKS
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Temel Bulgular & Veri:IMPROVED EXACT DISTRIBUTED RLS ALGORITHM FOR DECENTRALIZED ESTIMATION OVER SENSOR NETWORKS
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Sonuç & Katkı:IMPROVED EXACT DISTRIBUTED RLS ALGORITHM FOR DECENTRALIZED ESTIMATION OVER SENSOR NETWORKS
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:sensor networks · distributed estimation · adaptive filter

Abstract

IMPROVED EXACT DISTRIBUTED RLS ALGORITHM FOR DECENTRALIZED ESTIMATION OVER SENSOR NETWORKS

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Bu Makaleye Atıf Yap

KHALILI, A., RASTEGARNIA, A., TINATI, M. (2012). IMPROVED EXACT DISTRIBUTED RLS ALGORITHM FOR DECENTRALIZED ESTIMATION OVER SENSOR NETWORKS. Electrica, Cilt: 8 Sayı: 2, 725–731. https://ajindex.com/articles/1017599

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Kaynakça (4)

  1. 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.
  2. 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,
  3. 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.
  4. 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 rece