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Volumn , Issue , 2010, Pages 400-405

Implementation of greedy algorithms for LTE sparse channel estimation

Author keywords

[No Author keywords available]

Indexed keywords

3GPP LTE; BROAD BAND WIRELESS SYSTEMS; CHANNEL CONDITIONS; CHANNEL ESTIMATE; COMPRESSED SENSING; DE-NOISING; GREEDY ALGORITHMS; HARDWARE COMPLEXITY; PARAMETERIZED DESIGN; SPARSE CHANNEL IMPULSE RESPONSE;

EID: 79958002170     PISSN: 10586393     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACSSC.2010.5757587     Document Type: Conference Paper
Times cited : (31)

References (15)
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  • 3
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    • (1993) IEEE Trans. Signal Process. , vol.41 , Issue.12 , pp. 3397-3415
    • Mallat, S.1    Zhang, Z.2
  • 5
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    • Sparse channel estimation via matching pursuit with application to equalization
    • March
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    • Cotter, S.1    Rao, B.2
  • 6
    • 40749116889 scopus 로고    scopus 로고
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    • Li, W.1    Preisig, J.2
  • 7
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    • A compressed sensing technique for OFDM channel estimation in mobile environments: Exploiting channel sparsity for reducing pilots
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  • 8
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    • Sparse channel estimation for multicarrier underwater acoustic communication: From subspace methods to compressed sensing
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    • C. Berger, S. Zhou, J. Preisig, and P. Willett, "Sparse channel estimation for multicarrier underwater acoustic communication: From subspace methods to compressed sensing," IEEE Trans. Signal Process., vol. 58, no. 3, pp. 1708-1721, March 2010.
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  • 9
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    • Algorithm/architecture co-exploration for designing energy efficient wireless channel estimator
    • Y. Meng, W. Gong, R. Kastner, and T. Sherwood, "Algorithm/ architecture co-exploration for designing energy efficient wireless channel estimator," ASP J. Low Power Electronics, vol. 1, no. 3, pp. 1-11, 2005.
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  • 12
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.