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Volumn 47, Issue 1, 2009, Pages 56-62

Designing low-complexity equalizers for wireless systems

Author keywords

Bit error rate; Complexity theory; Equalizers; Lattices; Receivers; Signal to noise ratio; Wireless communication

Indexed keywords

BIT ERROR RATE; COMPUTATIONAL COMPLEXITY; ELECTRIC REACTORS; EQUALIZERS; FADING CHANNELS; MAXIMUM LIKELIHOOD; OPTICAL COMMUNICATION; PROGRAMMING THEORY; SIGNAL RECEIVERS; SIGNAL TO NOISE RATIO; WIRELESS TELECOMMUNICATION SYSTEMS;

EID: 59649120086     PISSN: 01636804     EISSN: None     Source Type: Journal    
DOI: 10.1109/MCOM.2009.4752677     Document Type: Review
Times cited : (31)

References (13)
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  • 2
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    • Complex Lattice Reduction Algorithms for Low-Complexity MIMO Detection
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    • Y. H. Gan and W. H. Mow, "Complex Lattice Reduction Algorithms for Low-Complexity MIMO Detection," Proc. IEEE Global Telecom. Conf., St. Louis, MO, vol. 5, Nov. 28-Dec. 2, 2005, pp. 2953-57.
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  • 3
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    • Performance Analysis for MIMO Systems with Linear Equalization
    • Feb
    • X. Ma and W. Zhang, "Performance Analysis for MIMO Systems with Linear Equalization," IEEE Trans. Commun., vol. 56, no. 2, Feb. 2008, pp. 309-18.
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  • 5
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    • Near-Maximum-Likelihood Detection of MIMO Systems Using MMSE-Based Lattice Reduction
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    • Asymptotic Performance Analysis of V-BLAST
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    • Y. Jiang, X. Zheng, and J. Li, "Asymptotic Performance Analysis of V-BLAST," Proc. IEEE GLOBECOM, St. Louis, MO, vol. 6, Nov. 28-Dec. 2, 2005, pp. 3882-86.
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  • 9
    • 39049151793 scopus 로고    scopus 로고
    • Approximate Lattice Decoding: Primal versus Dual Basis Reduction
    • Seattle, WA, July 9-14
    • C. Ling, "Approximate Lattice Decoding: Primal versus Dual Basis Reduction," Proc. IEEE Int'l. Symp. Info. Theory, Seattle, WA, July 9-14, 2006.
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  • 10
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    • VLSI Implementation of a Lattice-Reduction Algorithm for Multi-Antenna Broadcast Precoding
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.