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Title: Adaptive notch filters from lossless bounded real all-pass functions for frequency tracking and line enhancing
Authors: Chambers, Jonathon
Constantinides, A.G.
Keywords: Adaptive filters
All-pass filters
Notch filters
Signal processing
Issue Date: 1991
Publisher: © IEEE
Citation: CHAMBERS, J. and CONSTANTINIDES, A.G., 1991. Adaptive notch filters from lossless bounded real all-pass functions for frequency tracking and line enhancing. IN: IEEE International Conference on Acoustics, Speech, and Signal Processing, 14-17 April, Volume 3, pp. 1553 - 1556
Abstract: The authors introduce constrained adaptive notch filters which are synthesized from a numerically robust all-pass filter section. This section is realized as a structurally lossless bounded real function which is canonic in both multipliers and delay elements. The notch filter structures admit orthogonal tuning of their notch frequency and bandwidth. For the two structures, frequency tracking and signal enhancement outputs are derived. The mirror image pair of polynomials present in a real all-pass transfer function is shown to yield significant simplification in the generation of the necessary gradient terms used in parameter adaptation. A cascade of such structures is shown to be suitable for tracking multiple sinusoids. Simulation results verify the utility of these structures for frequency tracking
Description: This is a conference paper [© IEEE]. It is also available from: http://ieeexplore.ieee.org/. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Version: Published
DOI: 10.1109/ICASSP.1991.150539
URI: https://dspace.lboro.ac.uk/2134/5970
ISBN: 0780300033
ISSN: 1520-6149
Appears in Collections:Conference Papers and Presentations (Mechanical, Electrical and Manufacturing Engineering)

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