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Volumn 4, Issue 1, 2008, Pages 211-230

Optimization of linear observations for the stationary kalman filter based on a generalized water filling theorem

Author keywords

Gaussian processes; Kalman filter; Least squares state estimation; Optimal transmission

Indexed keywords


EID: 48249132665     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (30)

References (13)
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  • 6
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  • 7
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    • (1994) IEEE Tmns. Inform. Theory , vol.IT-40 , Issue.5 , pp. 1624-1629
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  • 8
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    • Y. Takeuchi, M. Sowa and K. Horikawa, An information theoretic scheme for sensor allocation of linear least-squares estimation, Proc. of the SICE (Society of Instrument and Control Engineers, Japan) Annual Conference, Osaka, Japan, pp.248-253, 2002.
    • Y. Takeuchi, M. Sowa and K. Horikawa, An information theoretic scheme for sensor allocation of linear least-squares estimation, Proc. of the SICE (Society of Instrument and Control Engineers, Japan) Annual Conference, Osaka, Japan, pp.248-253, 2002.
  • 9
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    • An information theoretic approach to optimization of linear observations for the Kalman-Bucy filter
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  • 10
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    • Takeuchi, Y.1
  • 12
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    • Optimal transmission of a set of correlated Gaussian signals through parallel channels with feedback - A generalized water filling theorem and its application -
    • in preparation
    • Y. Takeuchi, Optimal transmission of a set of correlated Gaussian signals through parallel channels with feedback - A generalized water filling theorem and its application -, in preparation.
    • Takeuchi, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.