메뉴 건너뛰기




Volumn 33, Issue 9, 1997, Pages 1711-1718

Funnel filters: A new class of filters for frequency estimation of harmonic signals

Author keywords

ARMA models; Frequency estimation; Funnel filters; Identification algorithms; Notch filters

Indexed keywords

ALGORITHMS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; REGRESSION ANALYSIS; SIGNAL DETECTION;

EID: 0031224278     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0005-1098(97)00085-X     Document Type: Article
Times cited : (12)

References (20)
  • 4
    • 0031061952 scopus 로고    scopus 로고
    • Unbiased estimation of a sinusoid in noise via adapted notch filters
    • Bittanti, S. and M. Campi and S. M. Savaresi (1997). Unbiased estimation of a sinusoid in noise via adapted notch filters. Automatica, 33, 209-215.
    • (1997) Automatica , vol.33 , pp. 209-215
    • Bittanti, S.1    Campi, M.2    Savaresi, S.M.3
  • 5
    • 84937035392 scopus 로고
    • Estimating and interpreting the instantaneous frequency of a signal
    • Boashash, B. (1992). Estimating and interpreting the instantaneous frequency of a signal. Proc. IEEE, 80(4), 520-568.
    • (1992) Proc. IEEE , vol.80 , Issue.4 , pp. 520-568
    • Boashash, B.1
  • 6
    • 0025567238 scopus 로고
    • Frequency tracking using constrained adaptive notch filters synthesised from allpass sections
    • Chambers, J. A. (1990). Frequency tracking using constrained adaptive notch filters synthesised from allpass sections. IEE Proc., Part F, 137, 475-481.
    • (1990) IEE Proc., Part F , vol.137 , pp. 475-481
    • Chambers, J.A.1
  • 7
    • 0025432208 scopus 로고
    • Gradient-based adaptive IIR notch filtering for frequency estimation
    • Chicharo, J. F. and T. S. Ng (1990). Gradient-based adaptive IIR notch filtering for frequency estimation. IEEE Trans. Acoust. Speech Signal Process., ASSP-38, 769-777.
    • (1990) IEEE Trans. Acoust. Speech Signal Process , vol.ASSP-38 , pp. 769-777
    • Chicharo, J.F.1    Ng, T.S.2
  • 8
    • 0027577794 scopus 로고
    • Stationary points of the recursive generalized last squares algorithm for adaptive notch filtering
    • Dragošević, M. V. (1993). Stationary points of the recursive generalized last squares algorithm for adaptive notch filtering. IEEE Trans. Signal Process., SP-41, 1672-1675.
    • (1993) IEEE Trans. Signal Process , vol.SP-41 , pp. 1672-1675
    • Dragošević, M.V.1
  • 10
    • 0028375644 scopus 로고
    • Tracking analysis of an adaptive notch filter with constrained poles and zeros
    • Händel, P. and A. Nehorai (1994). Tracking analysis of an adaptive notch filter with constrained poles and zeros. IEEE Trans. Signal Process., 42(2), 281-291.
    • (1994) IEEE Trans. Signal Process , vol.42 , Issue.2 , pp. 281-291
    • Händel, P.1    Nehorai, A.2
  • 11
    • 0022896042 scopus 로고
    • An adaptive IIR structure for sinusoidal enhancement, frequency estimation, and detection
    • Hush, D. R. and N. Ahmed and R. David and S. Stearns (1986). An adaptive IIR structure for sinusoidal enhancement, frequency estimation, and detection. IEEE Trans. Acoust. Speech Signal Process., ASSP-34, 1380-1390.
    • (1986) IEEE Trans. Acoust. Speech Signal Process , vol.ASSP-34 , pp. 1380-1390
    • Hush, D.R.1    Ahmed, N.2    David, R.3    Stearns, S.4
  • 12
    • 0024700088 scopus 로고
    • Adaptive detection and enhancement of multiple sinusoids using a cascade IIR filter
    • Kwan, T. and K. Martin (1989). Adaptive detection and enhancement of multiple sinusoids using a cascade IIR filter. IEEE Trans. Circuits Systems, 36(7), 937-947.
    • (1989) IEEE Trans. Circuits Systems , vol.36 , Issue.7 , pp. 937-947
    • Kwan, T.1    Martin, K.2
  • 14
    • 0342838745 scopus 로고
    • Dynamical properties of the recursive maximum likelihood algorithm for frequency estimation
    • Budapest, Hungary
    • Lorito, F. (1995). Dynamical properties of the recursive maximum likelihood algorithm for frequency estimation. In Proc. IFAC Symp. Adaptive Control and Signal Processing. Budapest, Hungary, pp. 171-176.
    • (1995) Proc. IFAC Symp. Adaptive Control and Signal Processing , pp. 171-176
    • Lorito, F.1
  • 15
    • 0022106212 scopus 로고
    • A minimal parameter adaptive notch filter with constrained poles and zeros
    • Nehorai, A. (1985). A minimal parameter adaptive notch filter with constrained poles and zeros. IEEE Trans. Acoust. Speech Signal Process., ASSP-33, 983-996.
    • (1985) IEEE Trans. Acoust. Speech Signal Process , vol.ASSP-33 , pp. 983-996
    • Nehorai, A.1
  • 16
    • 0023293554 scopus 로고
    • Some aspects of an adaptive digital notch filter with constrained poles and zeros
    • Ng, T. S. (1987). Some aspects of an adaptive digital notch filter with constrained poles and zeros. IEEE Trans. Acoust. Speech Signal Process., ASSP-35, 158-161.
    • (1987) IEEE Trans. Acoust. Speech Signal Process , vol.ASSP-35 , pp. 158-161
    • Ng, T.S.1
  • 17
    • 0027167243 scopus 로고
    • Adaptive detection and enhancement of closely spaced sinusoids using multirate techniques
    • Nishimura, S. (1993). Adaptive detection and enhancement of closely spaced sinusoids using multirate techniques. Proc. ICASSP, Vol. III, pp. 400-403.
    • (1993) Proc. ICASSP , vol.3 , pp. 400-403
    • Nishimura, S.1
  • 18
    • 0024070804 scopus 로고
    • Tracking characteristics of the constrained IIR adaptive notch filter
    • Rao, B. D. and R. Peng (1988). Tracking characteristics of the constrained IIR adaptive notch filter. IEEE Trans. Acoust. Speech Signal Process., ASSP-36, 1466-1479.
    • (1988) IEEE Trans. Acoust. Speech Signal Process , vol.ASSP-36 , pp. 1466-1479
    • Rao, B.D.1    Peng, R.2
  • 20
    • 0024029931 scopus 로고
    • Performance analysis of an adaptive notch filter with constrained poles and zeros
    • Stoica, P. and A. Nehorai (1988). Performance analysis of an adaptive notch filter with constrained poles and zeros. IEEE Trans. Acoust. Speech Signal Process., ASSP-36, 911-919.
    • (1988) IEEE Trans. Acoust. Speech Signal Process , vol.ASSP-36 , pp. 911-919
    • Stoica, P.1    Nehorai, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.