메뉴 건너뛰기




Volumn 2014, Issue , 2014, Pages

Quantized Network Coding for correlated sources

Author keywords

Compressed sensing; Distributed source coding; Linear network coding; Minimization; Restricted isometry property

Indexed keywords

COMPRESSED SENSING; LINEAR NETWORKS; MATRIX ALGEBRA; OPTIMIZATION; SENSOR NETWORKS; SIGNAL RECONSTRUCTION; CODES (SYMBOLS);

EID: 84901623571     PISSN: 16871472     EISSN: 16871499     Source Type: Journal    
DOI: 10.1186/1687-1499-2014-40     Document Type: Article
Times cited : (14)

References (46)
  • 2
    • 2942686425 scopus 로고    scopus 로고
    • Sensor networks: Evolution, opportunities, and challenges
    • DOI 10.1109/JPROC.2003.814918, Sensor Networks and Applications
    • C Chong, S Kumar, Sensor networks: evolution, opportunities, and challenges. Proc. IEEE. 91(8), 1247-1256 (2003) (Pubitemid 40890834)
    • (2003) Proceedings of the IEEE , vol.91 , Issue.8 , pp. 1247-1256
    • Chong, C.-Y.1    Kumar, S.P.2
  • 4
    • 11144277843 scopus 로고    scopus 로고
    • Routing techniques in wireless sensor networks: A survey
    • J Al-Karaki, A Kamal, Routing techniques in wireless sensor networks: a survey. IEEE Wireless Commun. 11(6), 6-28 (2004)
    • (2004) IEEE Wireless Commun , vol.11 , Issue.6 , pp. 6-28
    • Al-Karaki, J.1    Kamal, A.2
  • 6
    • 84885517072 scopus 로고    scopus 로고
    • Network coding for sensor networks
    • Wiley Online Library
    • C Fragouli, Network coding for sensor networks, in Handbook Array Processing Sensor Networks (Wiley Online Library, 2009), pp. 645-667
    • (2009) Handbook Array Processing Sensor Networks , pp. 645-667
    • Fragouli, C.1
  • 7
    • 0242334165 scopus 로고    scopus 로고
    • An algebraic approach to network coding
    • R Koetter, M Médard, An algebraic approach to network coding. IEEE Trans. Netw. 11(5), 782-795 (2003)
    • (2003) IEEE Trans. Netw , vol.11 , Issue.5 , pp. 782-795
    • Koetter, R.1    Médard, M.2
  • 11
    • 0015648934 scopus 로고
    • Noiseless coding of correlated information sources
    • D Slepian, J Wolf, Noiseless coding of correlated information sources. IEEE Trans. Inf. Theory. 19(4), 471-480 (1973)
    • (1973) IEEE Trans. Inf. Theory , vol.19 , Issue.4 , pp. 471-480
    • Slepian, D.1    Wolf, J.2
  • 12
    • 85032757506 scopus 로고    scopus 로고
    • Distributed source coding for sensor networks
    • Z Xiong, A Liveris, S Cheng, Distributed source coding for sensor networks. IEEE Signal Process. Mag. 21(5), 80-94 (2004)
    • (2004) IEEE Signal Process. Mag , vol.21 , Issue.5 , pp. 80-94
    • Xiong, Z.1    Liveris, A.2    Cheng, S.3
  • 13
    • 0019071635 scopus 로고
    • Slepian-wolf-cover theorem for networks of channels
    • TS Han, Slepian-wolf-cover theorem for networks of channels. Inf. Control. 47(1), 67-83 (1980)
    • (1980) Inf. Control , vol.47 , Issue.1 , pp. 67-83
    • Han, T.S.1
  • 16
    • 64249164672 scopus 로고    scopus 로고
    • On practical design for joint distributed source and network coding
    • Y Wu, V Stankovic, Z Xiong, S Kung, On practical design for joint distributed source and network coding. IEEE Trans. Inf. Theory. 55(4), 1709-1720 (2009)
    • (2009) IEEE Trans. Inf. Theory , vol.55 , Issue.4 , pp. 1709-1720
    • Wu, Y.1    Stankovic, V.2    Xiong, Z.3    Kung, S.4
  • 20
    • 33645712892 scopus 로고    scopus 로고
    • Compressed sensing
    • D Donoho, Compressed sensing. IEEE Trans. Inf. Theory. 52, 1289-1306 (2006)
    • (2006) IEEE Trans. Inf. Theory , vol.52 , pp. 1289-1306
    • Donoho, D.1
  • 23
    • 78650339793 scopus 로고    scopus 로고
    • Netcompress: Coupling network coding and compressed sensing for efficient data communication in wireless sensor networks
    • Oct 2010, IEEE, Piscataway
    • N Nguyen, D Jones, S Krishnamurthy, Netcompress: coupling network coding and compressed sensing for efficient data communication in wireless sensor networks, in 2010 IEEEWorkshop on Signal Processing Systems, Oct 2010 (IEEE, Piscataway, 2010), pp. 356-361
    • (2010) 2010 IEEEWorkshop on Signal Processing Systems , pp. 356-361
    • Nguyen, N.1    Jones, D.2    Krishnamurthy, S.3
  • 28
    • 84856094341 scopus 로고    scopus 로고
    • A power efficient sensing/communication scheme: Joint source-channel-network coding by using compressive sensing
    • IEEE, Piscataway
    • S Feizi, M Medard, A power efficient sensing/communication scheme: joint source-channel-network coding by using compressive sensing, in 49th Annual Allerton Conference on Communication, Control, and Computing (IEEE, Piscataway, 2011), pp. 1048-1054
    • (2011) 49th Annual Allerton Conference on Communication, Control, and Computing , pp. 1048-1054
    • Feizi, S.1    Medard, M.2
  • 31
    • 84868250487 scopus 로고    scopus 로고
    • Quantized network coding for sparse messages
    • Ann Arbor, Aug 2012, IEEE, Piscataway
    • M Nabaee, F Labeau, Quantized network coding for sparse messages, in IEEE Statistical Signal Processing Workshop, Ann Arbor, Aug 2012 (IEEE, Piscataway, 2012), pp. 832-835
    • (2012) IEEE Statistical Signal Processing Workshop , pp. 832-835
    • Nabaee, M.1    Labeau, F.2
  • 32
    • 84877654356 scopus 로고    scopus 로고
    • Restricted isometry property in quantized network coding of sparse messages
    • Dec 2012, IEEE, Piscataway
    • M Nabaee, F Labeau, Restricted isometry property in quantized network coding of sparse messages, in IEEE Global Telecommunications Conference Anaheim, Dec 2012 (IEEE, Piscataway, 2012)
    • (2012) IEEE Global Telecommunications Conference Anaheim
    • Nabaee, M.1    Labeau, F.2
  • 33
    • 42649140570 scopus 로고    scopus 로고
    • The restricted isometry property and its implications for compressed sensing
    • EJ Candes, The restricted isometry property and its implications for compressed sensing. Comptes Rendus Mathematique. 346(9-10), 589-592 (2008)
    • (2008) Comptes Rendus Mathematique , vol.346 , Issue.9-10 , pp. 589-592
    • Candes, E.J.1
  • 34
    • 85032751965 scopus 로고    scopus 로고
    • Compressive sensing
    • R Baraniuk, Compressive sensing. IEEE Signal Process. Mag. 24(4), 118-121 (2007)
    • (2007) IEEE Signal Process. Mag , vol.24 , Issue.4 , pp. 118-121
    • Baraniuk, R.1
  • 36
    • 0003792312 scopus 로고
    • Prentice-Hall, Englewood Cliffs
    • T Kailath, Linear Systems, vol. 1. (Prentice-Hall, Englewood Cliffs, 1980)
    • (1980) Linear Systems , vol.1
    • Kailath, T.1
  • 37
    • 34249687049 scopus 로고    scopus 로고
    • Sparsity and incoherence in compressive sampling
    • E Candes, J Romberg, Sparsity and incoherence in compressive sampling. Inverse Probl. 23(3), 969 (2007)
    • (2007) Inverse Probl , vol.23 , Issue.3 , pp. 969
    • Candes, E.1    Romberg, J.2
  • 38
    • 55649115527 scopus 로고    scopus 로고
    • A simple proof of the restricted isometry property for random matrices
    • R Baraniuk, M Davenport, R Devore, M Wakin, A simple proof of the restricted isometry property for random matrices. Constr. Approx. 28(3), 253-263 (2007)
    • (2007) Constr. Approx , vol.28 , Issue.3 , pp. 253-263
    • Baraniuk, R.1    Davenport, M.2    Devore, R.3    Wakin, M.4
  • 41
    • 79851510360 scopus 로고    scopus 로고
    • Compressed sensing with quantized measurements
    • A Zymnis, S Boyd, E Candes, Compressed sensing with quantized measurements. IEEE Signal Process. Lett. 17(2), 149-152 (2010)
    • (2010) IEEE Signal Process. Lett , vol.17 , Issue.2 , pp. 149-152
    • Zymnis, A.1    Boyd, S.2    Candes, E.3
  • 42
    • 78650920797 scopus 로고    scopus 로고
    • Dequantizing compressed sensing: When oversampling and non-Gaussian constraints combine
    • L Jacques, DK Hammond, JM Fadili, Dequantizing compressed sensing: when oversampling and non-Gaussian constraints combine. IEEE Trans. Inf. Theory. 57(1), 559-571 (2011)
    • (2011) IEEE Trans. Inf. Theory , vol.57 , Issue.1 , pp. 559-571
    • Jacques, L.1    Hammond, D.K.2    Fadili, J.M.3
  • 44
    • 34147120474 scopus 로고
    • A note on two problems in connexion with graphs
    • E Dijkstra, A note on two problems in connexion with graphs. Numerische Mathematik. 1(1), 269-271 (1959)
    • (1959) Numerische Mathematik , vol.1 , Issue.1 , pp. 269-271
    • Dijkstra, E.1
  • 46
    • 84901586583 scopus 로고    scopus 로고
    • Bayesian quantized network coding via generalized approximate message passing
    • Washington, DC Apr 2014, IEEE, Piscataway
    • M Nabaee, F Labeau, Bayesian quantized network coding via generalized approximate message passing, in 2014Wireless Telecommunications Symposium Washington, DC Apr 2014 (IEEE, Piscataway, 2014)
    • (2014) 2014Wireless Telecommunications Symposium
    • Nabaee, M.1    Labeau, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.