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Volumn , Issue , 2012, Pages 16-21

A general distributed consensus algorithm for wireless sensor networks

Author keywords

[No Author keywords available]

Indexed keywords

COMPRESSIVE SENSING; DECISION STATISTICS; DETECTION PROBLEMS; DISTRIBUTED CONSENSUS; DISTRIBUTED DETECTION; FINAL DECISION; INFORMATION VECTOR; LOG-LIKELIHOOD RATIOS;

EID: 84867806916     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WiAd.2012.6296556     Document Type: Conference Paper
Times cited : (11)

References (10)
  • 2
    • 85032751099 scopus 로고    scopus 로고
    • The interplay between signal processing and networking in sensor networks
    • July
    • Q. Zhao, A. Swami, and L. Tong, "The interplay between signal processing and networking in sensor networks," IEEE Signal Proc. Mag., vol. 23, no. 4, pp. 84-93, July 2006.
    • (2006) IEEE Signal Proc. Mag. , vol.23 , Issue.4 , pp. 84-93
    • Zhao, Q.1    Swami, A.2    Tong, L.3
  • 4
    • 3142770678 scopus 로고    scopus 로고
    • Fast linear iterations for distributed averaging
    • L. Xiao and S. Boyd, "Fast linear iterations for distributed averaging," Systems and Control Letters, vol. 53, pp. 65-78, 2004.
    • (2004) Systems and Control Letters , vol.53 , pp. 65-78
    • Xiao, L.1    Boyd, S.2
  • 5
    • 80052315837 scopus 로고    scopus 로고
    • Adaptive filter algorithms for accelerated discrete-time consensus
    • March
    • R. L. G. Cavalcante and B. Mulgrew, "Adaptive filter algorithms for accelerated discrete-time consensus," IEEE Trans. Signal Proc., vol. 58(3), pp. 1049-1058, March 2010.
    • (2010) IEEE Trans. Signal Proc. , vol.58 , Issue.3 , pp. 1049-1058
    • Cavalcante, R.L.G.1    Mulgrew, B.2
  • 7
    • 31744440684 scopus 로고    scopus 로고
    • Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information
    • February
    • E. Candès, J. Romberg, and T. Tao, "Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information," IEEE Trans. on Infor. Theory, vol. 52(2), pp. 489-509, February 2006.
    • (2006) IEEE Trans. on Infor. Theory , vol.52 , Issue.2 , pp. 489-509
    • Candès, E.1    Romberg, J.2    Tao, T.3
  • 8
    • 33645712892 scopus 로고    scopus 로고
    • Compressed sensing
    • April
    • D. Donoho, "Compressed sensing," IEEE Trans. on Infor. Theory, vol. 52(4), pp. 1289-1306, April 2006.
    • (2006) IEEE Trans. on Infor. Theory , vol.52 , Issue.4 , pp. 1289-1306
    • Donoho, D.1
  • 9
    • 85032750937 scopus 로고    scopus 로고
    • An introduction to compressive sampling
    • March
    • E. J. Candès and M. B. Wakin, "An introduction to compressive sampling," IEEE Signal Proc. Mag., vol. 21, no. 3, pp. 21-30, March 2008.
    • (2008) IEEE Signal Proc. Mag. , vol.21 , Issue.3 , pp. 21-30
    • Candès, E.J.1    Wakin, M.B.2
  • 10
    • 33947416035 scopus 로고    scopus 로고
    • Near-optimal signal recovery from random projections: Universal encoding strategies
    • December
    • E. Candès and T. Tao, "Near-optimal signal recovery from random projections: universal encoding strategies," IEEE Trans. on Infor. Theory, vol. 52(12), pp. 5406-5425, December 2006.
    • (2006) IEEE Trans. on Infor. Theory , vol.52 , Issue.12 , pp. 5406-5425
    • Candès, E.1    Tao, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.