مقایسهٔ روش‌ها

	مقیاس‌های بارک و مل	کنترل فعال نویز با الگوریتم FxLMS
حوزه	صوت‌شناسی	صوت‌شناسی
خانواده	Process / pipeline	Process / pipeline
سال پیدایش	1937	1975
پدیدآور	Eberhard Zwicker, Stanley Smith Stevens	Bernard Widrow, Samuel Stearns
نوع	Perceptual frequency mapping	Adaptive noise cancellation algorithm
منبع بنیادین	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.
نام‌های دیگر	bark scale, mel scale, critical bandwidth, perceptual frequency	FxLMS, filtered-x LMS, active noise cancellation, ANC
مرتبط	5	5
خلاصه	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.