The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A minimal parameter adaptive notch filter with constrained poles and zeros
Abstract
A new algorithm is presented for adaptive notch filtering and parametric spectral estimation of multiple narrow-band or sine wave signals in an additive broad-band process. The algorithm is of recursive prediction error (RPE) form and uses a special constrained model of infinite impulse response (IIR) with a minimal number of parameters. The convergent filter is characterized by highly narrow bandwidth and uniform notches of desired shape. For sufficiently large data sets, the variances of the sine wave frequency estimates are of the same order of magnitude as the Cramer-Rao bound. Results from simulations illustrate the performance of the algorithm under a wide range of conditions.
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Citations
Cites
Adaptive noise cancelling: Principles and applications
Widrow, B., Glover, J. R., McCool, J. M., Kaunitz, J., Williams, C. S., Hearn, R. H., Zeidler, J. R., Eugene Dong, Jr., & Goodlin, R. C. (1975) · Proceedings of the IEEE · doi:10.1109/proc.1975.10036 · Cited by 3,939
Metadata
- Authors
- Nehorai, A.
- Venue
- IEEE Transactions on Acoustics, Speech, and Signal Processing
- Published
- 1985-08
- Volume
- 33
- Issue
- 4
- Pages
- 983-996
- ISSN
- 0096-3518 (ISSN-L)
- OpenAlex
- W2167777948
- Cited by
- 455
- References
- 1
- FWCI
- 6.63
- Type
- journal article
- Language
- en
- Open access
- closed
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- Nehorai, A. (1985). A minimal parameter adaptive notch filter with constrained poles and zeros. IEEE Transactions on Acoustics, Speech, and Signal Processing. https://doi.org/10.1109/tassp.1985.1164643
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
