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Unconstrained frequency-domain adaptive filter
Abstract
An unconstrained frequency-domain least mean-squares (UFLMS) algorithm is presented. The algorithm is based on the "overlap-save" technique used in frequency-domain filtering. The proposed algorithm converges to the Wiener solution without the time-domain constraint on the impulse response as proposed by Ferrara. For a large number of taps (\geq32), the UFLMS algorithm offers a significant reduction in computation. Another advantage is its fast convergence for highly correlated input signals. The performance of the algorithm is illustrated by a simulation.
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Cited by
Adaptive eigenvalue decomposition algorithm for passive acoustic source localization
Benesty, J. (2000) · The Journal of the Acoustical Society of America · doi:10.1121/1.428310 · Cited by 356
Applications of Digital Signal Processing to Audio and Acoustics
(2002) · The International Series in Engineering and Computer Science · doi:10.1007/b117882 · Cited by 278
Metadata
- Authors
- Mansour, D., & Gray, A.
- Venue
- IEEE Transactions on Acoustics, Speech, and Signal Processing
- Published
- 1982-10
- Volume
- 30
- Issue
- 5
- Pages
- 726-734
- ISSN
- 0096-3518 (ISSN-L)
- OpenAlex
- W2101620555
- Cited by
- 235
- References
- 0
- FWCI
- 5.86
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Unconstrained frequency-domain adaptive filter. https://app.cochat.ai/papers/10.1109/tassp.1982.1163949
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- Mansour, D., & Gray, A. (1982). Unconstrained frequency-domain adaptive filter. IEEE Transactions on Acoustics, Speech, and Signal Processing. https://doi.org/10.1109/tassp.1982.1163949
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