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Volumn , Issue , 2013, Pages 418-422

Distributed correlated data gathering in wireless sensor networks via compressed sensing

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION METHODS; ENERGY EFFICIENCY; NUMERICAL METHODS; SIGNAL RECONSTRUCTION;

EID: 84901278971     PISSN: 10586393     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACSSC.2013.6810310     Document Type: Conference Paper
Times cited : (13)

References (14)
  • 1
    • 31744440684 scopus 로고    scopus 로고
    • Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information
    • Feb
    • E. Candes, J. Romberg, and T. Tao, "Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information, " IEEE Trans. Inform. Theory, vol. 52, no. 2, pp. 489-509, Feb. 2006.
    • (2006) IEEE Trans. Inform. Theory , vol.52 , Issue.2 , pp. 489-509
    • Candes, E.1    Romberg, J.2    Tao, T.3
  • 2
    • 33947416035 scopus 로고    scopus 로고
    • Near-optimal signal recovery from random projections: Universal encoding strategies?
    • Dec
    • E. Candes and T. Tao, "Near-optimal signal recovery from random projections: Universal encoding strategies" IEEE Trans. Inform. Theory, vol. 52, no. 12, pp. 5406-5425, Dec. 2006.
    • (2006) IEEE Trans. Inform. Theory , vol.52 , Issue.12 , pp. 5406-5425
    • Candes, E.1    Tao, T.2
  • 3
    • 33645712892 scopus 로고    scopus 로고
    • Compressed sensing
    • Apr
    • D. L. Donoho, "Compressed sensing, " IEEE Trans. Inform. Theory, vol. 52, no. 4, pp. 1289-1306, Apr. 2006.
    • (2006) IEEE Trans. Inform. Theory , vol.52 , Issue.4 , pp. 1289-1306
    • Donoho, D.L.1
  • 4
    • 84867899154 scopus 로고    scopus 로고
    • Sensing, compression, and recovery for WSNs: Sparse signal modeling and monitoring framework
    • Oct
    • G. Quer, R. Masiero, G. Pillonetto, M. Rossi, and M. Zorzi, "Sensing, compression, and recovery for WSNs: Sparse signal modeling and monitoring framework, " IEEE Trans. Wireless Commun., vol. 11, no. 10, pp. 3447-3461, Oct. 2012.
    • (2012) IEEE Trans. Wireless Commun. , vol.11 , Issue.10 , pp. 3447-3461
    • Quer, G.1    Masiero, R.2    Pillonetto, G.3    Rossi, M.4    Zorzi, M.5
  • 6
    • 78650203708 scopus 로고    scopus 로고
    • Efficient measurement generation and pervasive sparsity for compressive data gathering
    • Dec
    • -, "Efficient measurement generation and pervasive sparsity for compressive data gathering, " IEEE Trans. Wireless Commun., vol. 9, no. 12, pp. 3728-3738, Dec. 2010.
    • (2010) IEEE Trans. Wireless Commun. , vol.9 , Issue.12 , pp. 3728-3738
    • Luo, C.1    Wu, F.2    Sun, J.3    Chen, C.4
  • 8
    • 84863149293 scopus 로고    scopus 로고
    • Compressive network coding for approximate sensor data gathering
    • Houston, Texas USA, Dec. 5-9
    • C. Luo, J. Sun, and F. Wu, "Compressive network coding for approximate sensor data gathering, " in Proc. IEEE Global Telecommun. Conf., Houston, Texas USA, Dec. 5-9 2011, pp. 1-6.
    • (2011) Proc. IEEE Global Telecommun. Conf. , pp. 1-6
    • Luo, C.1    Sun, J.2    Wu, F.3
  • 11
    • 84856295286 scopus 로고    scopus 로고
    • Kronecker compressive sensing
    • M. Duarte and R. Baraniuk, "Kronecker compressive sensing, " IEEE Trans. Image Processing, vol. 21, no. 2, pp. 494-504, 2012.
    • (2012) IEEE Trans. Image Processing , vol.21 , Issue.2 , pp. 494-504
    • Duarte, M.1    Baraniuk, R.2
  • 12
    • 85032750937 scopus 로고    scopus 로고
    • An introduction to compressive sampling
    • Mar
    • E. Candes and M. Wakin, "An introduction to compressive sampling, " IEEE Signal Processing Mag., vol. 25, no. 2, pp. 21-30, Mar. 2008.
    • (2008) IEEE Signal Processing Mag. , vol.25 , Issue.2 , pp. 21-30
    • Candes, E.1    Wakin, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.