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	Algorytm FxLMS (Filtered-x Least Mean Squares) do aktywnej kontroli hałasu	Formowanie wiązki
Dziedzina	Akustyka	Akustyka
Rodzina	Process / pipeline	Process / pipeline
Rok powstania	1975	1988
Twórca	Bernard Widrow, Samuel Stearns	Van Veen, Barry Buckley
Typ	Adaptive noise cancellation algorithm	Directional audio array processing
Źródło pierwotne	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.	Van Veen, B. D., & Buckley, K. M. (1988). Beamforming: A versatile approach to spatial filtering. IEEE ASSP Magazine, 5(2), 4–24.
Inne nazwy	FxLMS, filtered-x LMS, active noise cancellation, ANC	beamformer, spatial filtering, microphone array, phased array
Pokrewne	5	5
Podsumowanie	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.	Beamforming is a spatial signal processing technique that uses microphone arrays to selectively enhance sound from a desired direction while suppressing sounds from other directions. Formalized by Van Veen and Buckley in 1988, beamforming is fundamental to hands-free speech communication, hearing aids, sonar, radar, and spatial audio recording. It enables 'listening' with directional sensitivity despite using omnidirectional microphones, by exploiting time delays and phase differences between array elements.