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	FxLMS アクティブノイズコントロール	線形予測符号化
分野	音響学	音響学
系統	Process / pipeline	Process / pipeline
提唱年	1975	1975
提唱者	Bernard Widrow, Samuel Stearns	Freddy Burg, John Makhoul
種類	Adaptive noise cancellation algorithm	Predictive speech coding and analysis
原典	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.	Makhoul, J. (1975). Linear prediction: A tutorial review. Proceedings of the IEEE, 63(4), 561–580.
別名	FxLMS, filtered-x LMS, active noise cancellation, ANC	LPC, autoregressive model, speech prediction, vocal tract modeling
関連	5	5
概要	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.	Linear Predictive Coding (LPC) is a powerful signal processing technique for modeling and compressing speech by assuming each speech sample can be predicted from a linear combination of previous samples. Pioneered by Burg and Makhoul in the 1970s, LPC is the foundation of speech codecs, speech synthesis, speaker recognition, and speech enhancement. LPC exploits the time-correlated structure of speech to achieve high compression ratios and enable efficient parameter extraction.