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	Skale Bark i Mel	Algorytm FxLMS (Filtered-x Least Mean Squares) do aktywnej kontroli hałasu
Dziedzina	Akustyka	Akustyka
Rodzina	Process / pipeline	Process / pipeline
Rok powstania	1937	1975
Twórca	Eberhard Zwicker, Stanley Smith Stevens	Bernard Widrow, Samuel Stearns
Typ	Perceptual frequency mapping	Adaptive noise cancellation algorithm
Źródło pierwotne	Zwicker, E. (1961). Subdivision of the audible frequency range into critical bands. Journal of the Acoustical Society of America, 33(2), 248–248.	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.
Inne nazwy	bark scale, mel scale, critical bandwidth, perceptual frequency	FxLMS, filtered-x LMS, active noise cancellation, ANC
Pokrewne	5	5
Podsumowanie	Bark and Mel scales are perceptual frequency scales that map physical frequency (Hz) to perceived pitch and auditory perception. Formalized by Zwicker (Bark, 1961) and Stevens (Mel, 1937), these non-linear scales reflect how the human ear processes sound. Bark scale divides hearing into 24 critical bands; Mel scale models pitch perception. Both are essential for audio feature extraction, speech processing, and designing audio systems that align with human hearing.	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.