Adaptive detection and enhancement of closely spaced sinusoids using multirate techniques
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: digital speech processing - Volume III
Stationary points of the recursive generalized least squaresalgorithm for adaptive notch filtering
IEEE Transactions on Signal Processing
Tracking analysis of an adaptive notch filter with constrainedpoles and zeros
IEEE Transactions on Signal Processing
Analysis and performance evaluation of an adaptive notch filter
IEEE Transactions on Information Theory
A direct approach for the frequency-adaptive feedforward cancellation of harmonic disturbances
IEEE Transactions on Signal Processing
| Hi-index | 22.15 |
Standard notch models for the estimation of a sinusoid in noise are characterized by two poles on the unit circle and two zeros aligned with the poles. These models provide biased estimates of the unknown frequency, the bias increasing with the zero-pole distance. On the other hand, keeping the zeros far from the poles has the beneficial effect of making the identification algorithm less sensitive to the adopted initialization. In this paper we remove the pole-zero alignment constraint. The extra degree of freedom thus obtained is used to alleviate the traditional trade-off between unbiasedness of the estimates and robustness against poor initializations. The proposed technique applies to the case of both white and colored additive noise.