Some aspects of an adaptive digital notch filter with constrained poles and zeros
T Ng - IEEE transactions on acoustics, speech, and signal …, 1987 - ieeexplore.ieee.org
IEEE transactions on acoustics, speech, and signal processing, 1987•ieeexplore.ieee.org
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.
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.
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.
ieeexplore.ieee.org
以上显示的是最相近的搜索结果。 查看全部搜索结果