IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing · 1993 · 150 citations · 23 references
EngineeringComputational EngineeringBiomedical Signal ProcessingComputational AcousticsTime Series AnalysisDigital Signal ProcessingSignal Detection TheorySignal ProcessingTime-frequency AnalysisAdaptive FilteringAdaptive Notch FilteringConvergenceLattice FiltersMinimum Mean Square Error EstimationNotch FilteringNotch FiltersOrdinary Differential Equation Systems
A lattice notch filter for the detection and enchancement of sinusoids in noise is presented, and the convergence properties of the algorithm are investigated using ODE (ordinary differential equation) analysis. It is shown that the frequency estimate of the algorithm for a single sinusoid is unbiased, regardless of the pole-zero contraction factor and the noise variance. An expression for the MSE (mean square error) of the frequency estimate and the output SNR of the algorithm is derived. Simulation results are presented to verify the theoretical analysis. Based on cascading the proposed second-order adaptive notch filter, three different approaches for the detection of multiple sinusoids are presented. The first approach uses a linear cascade structure, and the second and third approaches use a triangular cascade structure. The performance of the algorithms for multiple sinusoids is investigated, and computer simulation results are presented and discussed.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
23
Adaptive noise cancelling: Principles and applications
Bernard Widrow, John R. Glover, J. McCool et al. · Proceedings of the IEEE · 1975 · 3.9K citations
J.J. Shynk · IEEE ASSP Magazine · 1989 · 611 citations