方法证据记录
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.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Filtered-x Least Mean Squares Algorithm for Active Noise Control
分类方法记录 · 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
精选声明
声明已持久化到证据分类账中，每个声明都有自己的评估。
尚无精选声明
当分类账中没有声明时，此视图不会自行创建声明评估。
相关方法
从方法图中生成，显示为机器建议的关系 — 不推断任何证据声明。