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Volumn 16, Issue 5-6, 2003, Pages 873-880

Stochastic error whitening algorithm for linear filter estimation with noisy data

Author keywords

Error whitening; Error whitening criterion; LMS; Mean squared error; Total least squares

Indexed keywords

ALGORITHMS; IDENTIFICATION (CONTROL SYSTEMS); ROBUSTNESS (CONTROL SYSTEMS); SPURIOUS SIGNAL NOISE; STOCHASTIC PROGRAMMING;

EID: 0038016961     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0893-6080(03)00109-6     Document Type: Conference Paper
Times cited : (7)

References (11)
  • 1
    • 0035556176 scopus 로고    scopus 로고
    • Adaptive filters with error nonlinearities: Mean-square analysis and optimum design
    • Al-Naffouri T.Y., Sayed A.H. Adaptive filters with error nonlinearities: mean-square analysis and optimum design. EURASIP Journal of Applied Signal Processing. 4:2001;192-205.
    • (2001) EURASIP Journal of Applied Signal Processing , vol.4 , pp. 192-205
    • Al-Naffouri, T.Y.1    Sayed, A.H.2
  • 3
    • 0034258710 scopus 로고    scopus 로고
    • Convergence analysis of the sign algorithm without the independence and gaussian assumptions
    • Eweda E. Convergence analysis of the sign algorithm without the independence and gaussian assumptions. IEEE Transactions on Signal Processing. 48:(9):2000.
    • (2000) IEEE Transactions on Signal Processing , vol.48 , Issue.9
    • Eweda, E.1
  • 5
    • 0003807773 scopus 로고    scopus 로고
    • Upper Saddle River, NJ: Prentice Hall
    • Haykin S. Adaptive filter theory. 1996;Prentice Hall, Upper Saddle River, NJ.
    • (1996) Adaptive filter theory
    • Haykin, S.1
  • 6
    • 4644358554 scopus 로고    scopus 로고
    • Error whitening wiener filters: Theory and algorithms
    • S. Haykin, & B. Widrow. New York, NY: Wiley
    • Principe J.C., Rao Y.N., Erdogmus D. Error whitening wiener filters: theory and algorithms. Haykin S., Widrow B. Advances in LMS filters, Chap. 10. 2003;Wiley, New York, NY.
    • (2003) Advances in LMS filters, Chap. 10
    • Principe, J.C.1    Rao, Y.N.2    Erdogmus, D.3
  • 8
    • 84953732923 scopus 로고    scopus 로고
    • Efficient total least squares method for system modeling using minor component analysis
    • Rao, Y. N., & Principe, J. C (2002). Efficient total least squares method for system modeling using minor component analysis. Proceedings of NNSP'02 (pp. 259-268).
    • (2002) Proceedings of NNSP'02 , pp. 259-268
    • Rao, Y.N.1    Principe, J.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.