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Volumn , Issue , 2009, Pages 2457-2460

MIMO decoding based on stochastic reconstruction from multiple projections

Author keywords

Bayesian decoding; Integer least squares; MIMO communication systems; Sparse linear equations

Indexed keywords

A-POSTERIORI PROBABILITIES; APRIORI; BAYESIAN DECODING; BELIEF PROPAGATION; FINITE LATTICES; FINITE SET; INTEGER LEAST SQUARES; ITERATIVE TECHNIQUE; LEAST SQUARE; LEAST SQUARES; MIMO COMMUNICATION SYSTEMS; MULTIPLE PROJECTIONS; NOISY OBSERVATIONS; NOVEL ALGORITHM; NP-HARD PROBLEM; SCIENCE AND ENGINEERING; SIMULATED EXPERIMENTS; SOLUTION VECTORS; SPARSE LINEAR EQUATIONS; STOCHASTIC RECONSTRUCTION; SUB-OPTIMAL ALGORITHMS; TOMOGRAPHIC; TWO-DIMENSIONAL PROJECTION;

EID: 70349202130     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2009.4960119     Document Type: Conference Paper
Times cited : (7)

References (10)
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  • 5
    • 33747804290 scopus 로고    scopus 로고
    • A semidefinite relaxation approach to MIMO detection for high-order QAM constellations
    • Sept
    • N.D. Sidiropoulos and Z.-Q. Luo, "A semidefinite relaxation approach to MIMO detection for high-order QAM constellations," IEEE Signal Processing Letters, vol. 13, pp. 525-528, Sept. 2006.
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    • Sidiropoulos, N.D.1    Luo, Z.-Q.2
  • 6
    • 27644579613 scopus 로고    scopus 로고
    • Semidefinite relaxation for detection of 16-QAM signaling in MIMO channels
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    • (2005) IEEE Signal Processing Letters
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  • 7
    • 17444400753 scopus 로고    scopus 로고
    • On the complexity of sphere decoding in digital communications
    • April
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  • 9
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    • A view of the EM algorithm that justi-fies incremental, sparse, and other variants
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  • 10


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.