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Volumn 2007, Issue , 2007, Pages

New approaches for channel prediction based on sinusoidal modeling

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; ERROR DETECTION; MATHEMATICAL MODELS; MONTE CARLO METHODS; PARAMETER ESTIMATION; RAYLEIGH FADING; SIGNAL FILTERING AND PREDICTION; STOCHASTIC CONTROL SYSTEMS;

EID: 33846265020     PISSN: 11108657     EISSN: 16870433     Source Type: Journal    
DOI: 10.1155/2007/49393     Document Type: Article
Times cited : (33)

References (25)
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    • Duel-Hallen, A.1    Hu, S.2    Hallen, H.3
  • 8
    • 33846232606 scopus 로고    scopus 로고
    • EURASIP Journal on Applied Signal Processing, special issue on advances in subspace-based techniques for signal processing and communications, 2006
    • M. Chen T. Ekman M. Viberg Two new approaches for channel prediction based on sinusoidal modeling. EURASIP Journal on Applied Signal Processing, special issue on advances in subspace-based techniques for signal processing and communications, 2006
    • Two New Approaches for Channel Prediction Based on Sinusoidal Modeling
    • Chen, M.1    Ekman, T.2    Viberg, M.3
  • 9
    • 33846260714 scopus 로고    scopus 로고
    • An FIR predictor interpretation of LS estimation of sinusoidal amplitudes followed by extrapolation
    • Vienna, Austria
    • T. Ekman An FIR predictor interpretation of LS estimation of sinusoidal amplitudes followed by extrapolation. Proceedings of the 12th European Signal Processing Conference (EUSIPCO '04) Vienna, Austria 2004
    • (2004) Proceedings of the 12th European Signal Processing Conference (EUSIPCO '04)
    • Ekman, T.1
  • 10
    • 33846223187 scopus 로고    scopus 로고
    • Chalmers University of Technology Göteborg, Sweden Licentiate thesis
    • M. Chen Channel prediction based on sinusoidal modeling. Chalmers University of Technology Göteborg, Sweden August 2005 Licentiate thesis
    • (2005) Channel Prediction Based on Sinusoidal Modeling
    • Chen, M.1
  • 20
    • 0029307647 scopus 로고
    • Unitary ESPRIT: How to obtain increased estimation accuracy with a reduced computational burden
    • M. Haardt J. A. Nossek Unitary ESPRIT: how to obtain increased estimation accuracy with a reduced computational burden. IEEE Transactions on Signal Processing 43 5 1995 1232 1242
    • (1995) IEEE Transactions on Signal Processing , vol.43 , Issue.5 , pp. 1232-1242
    • Haardt, M.1    Nossek, J.A.2
  • 22
    • 0026203444 scopus 로고
    • Statistical analysis of MUSIC and subspace rotation estimates of sinusoidal frequencies
    • P. Stoica T. Söderström Statistical analysis of MUSIC and subspace rotation estimates of sinusoidal frequencies. IEEE Transactions on Signal Processing 39 8 1991 1836 1847
    • (1991) IEEE Transactions on Signal Processing , vol.39 , Issue.8 , pp. 1836-1847
    • Stoica, P.1    Söderström, T.2
  • 23
    • 0027632099 scopus 로고
    • High-SNR asymptotics for signal-subspace methods in sinusoidal frequency estimation
    • P. Tichavsky High-SNR asymptotics for signal-subspace methods in sinusoidal frequency estimation. IEEE Transactions on Signal Processing 41 7 1993 2448 2460
    • (1993) IEEE Transactions on Signal Processing , vol.41 , Issue.7 , pp. 2448-2460
    • Tichavsky, P.1
  • 25
    • 0018015137 scopus 로고
    • Modeling by shortest data description
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    • (1978) Automatica , vol.14 , Issue.5 , pp. 465-471
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.