论文信息 - Some aspects of an adaptive digital notch filter with constrained poles and zeros

Some aspects of an adaptive digital notch filter with constrained poles and zeros

The paper derives the range of filter parameters which can be used for monitoring purposes in adaptive notch filtering applications. The nonconvergence problem associated with the stochastic Gauss-Newton algorithm is illustrated, and the paper proposes the use of a less efficient recursive estimation algorithm-the appropriate maximum likelihood method-to overcome this problem. Results from simulations are presented for demonstration purposes.

Tung Ng | T. Ng

[1] J. Cadzow,et al. Spectral estimation: An overdetermined rational model equation approach , 1982, Proceedings of the IEEE.

[2] J. Glover. Adaptive noise canceling applied to sinusoidal interferences , 1977 .

[3] Ts Ng. ON-LINE ARMA SPECTRAL ESTIMATION. , 1985 .

[4] S.M. Kay,et al. Spectrum analysis—A modern perspective , 1981, Proceedings of the IEEE.

[5] R. Kumaresan,et al. Estimation of frequencies of multiple sinusoids: Making linear prediction perform like maximum likelihood , 1982, Proceedings of the IEEE.

[6] Arye Nehorai. A minimal parameter adaptive notch filter with constrained poles and zeros , 1985, IEEE Trans. Acoust. Speech Signal Process..

[7] S. Kung,et al. Adaptive notch filtering for the retrieval of sinusoids in noise , 1984 .

[8] V. Solo. The convergence of AML , 1979 .

[9] Lennart Ljung,et al. Theory and Practice of Recursive Identification , 1983 .

[10] E. J. Hannan,et al. Recursive Estimation Based on ARMA Models , 1980 .