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Volumn 44, Issue 12, 1996, Pages 3069-3078

Maximum likelihood parameter and rank estimation in reduced-rank multivariate linear regressions

Author keywords

[No Author keywords available]

Indexed keywords

EIGENVALUES AND EIGENFUNCTIONS; ESTIMATION; MATHEMATICAL MODELS; MATRIX ALGEBRA; REGRESSION ANALYSIS;

EID: 0030380901     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/78.553480     Document Type: Article
Times cited : (98)

References (12)
  • 3
    • 0020189061 scopus 로고    scopus 로고
    • Estimation of frequencies of multiple sinusoids: Making linear prediction perform like maximum likelihood in vol. 70 pp. 975-989 Sept. 1982.
    • D. W. Tufts and R. Kumaresan Estimation of frequencies of multiple sinusoids: Making linear prediction perform like maximum likelihood in Proc. IEEE vol. 70 pp. 975-989 Sept. 1982.
    • Proc. IEEE
    • Tufts, D.W.1    Kumaresan, R.2
  • 4
    • 0026260103 scopus 로고    scopus 로고
    • The SVD and reduced rank signal processing vol. 25 no. 2 pp. 113-133 1991.
    • L. L. Scharf The SVD and reduced rank signal processing Signal Processing (EURASIP) vol. 25 no. 2 pp. 113-133 1991.
    • Signal Processing (EURASIP)
    • Scharf, L.L.1
  • 5
    • 33747836462 scopus 로고    scopus 로고
    • 4SID linear regression in 33rd CDC Orlando FL 1994 pp. 2858-2863.
    • M. Jansson and B. Wahlberg 4SID linear regression in Proc. 33rd CDC Orlando FL 1994 pp. 2858-2863.
    • Proc.
    • Jansson, M.1    Wahlberg, B.2
  • 6
    • 0028494834 scopus 로고    scopus 로고
    • UN-MUSIC and UN-CLE: An application of generalized canonical correlation analysis to the estimation of the directions of arrival of signals in unknown correlated noise vol. 42 pp. 2331-2341 Sept. 1994.
    • Q. Wu and K. M. Wong UN-MUSIC and UN-CLE: An application of generalized canonical correlation analysis to the estimation of the directions of arrival of signals in unknown correlated noise IEEE Trans. Signal Processing vol. 42 pp. 2331-2341 Sept. 1994.
    • IEEE Trans. Signal Processing
    • Wu, Q.1    Wong, K.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.