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.