Metodes pierādījumu reģistrs

FxLMS Active Noise Control

The Filtered-x Least Mean Squares (FxLMS) algorithm is an adaptive filter used in active noise control (ANC) systems to reduce unwanted sound by generating anti-noise. Pioneered by Widrow and Stearns in 1975 and refined by Eriksson and colleagues, FxLMS is the most widely deployed algorithm in commercial noise-canceling headphones, hearing aids, automotive cabins, and industrial noise barriers. It works by continuously learning the acoustical path and dynamically adjusting a canceling signal in real time.

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Avota reģistrs

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Filtered-x Least Mean Squares Algorithm for Active Noise Control

Taksonomiskās metodes reģistrs · process-pipeline / acoustics

Widrow, B., & Stearns, S. D. (1975). Adaptive signal processing for active vibration and noise control. IEEE Transactions on Acoustics, Speech, and Signal Processing, 23(5), 440–453. · DOI 10.1109/icassp.1984.1172527
Eriksson, L. J., Allie, M. C., & Greiner, R. A. (1988). The selection and application of an IIR adaptive filter for use in active sound attenuation. IEEE Transactions on Acoustics, Speech, and Signal Processing, 36(11), 1879–1891. · DOI 10.1109/tassp.1987.1165165
Kuo, S. M., & Morgan, D. R. (2002). Active Noise Control Systems: Algorithms and DSP Implementations. John Wiley & Sons. · ISBN 978-0-471-49663-5

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Saistītās metodes

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