مقایسهٔ روش‌ها

	پوشش صوتی-روانشناختی	کنترل فعال نویز با الگوریتم FxLMS
حوزه	صوت‌شناسی	صوت‌شناسی
خانواده	Process / pipeline	Process / pipeline
سال پیدایش	1961	1975
پدیدآور	Eberhard Zwicker	Bernard Widrow, Samuel Stearns
نوع	Perceptual model for audio systems	Adaptive noise cancellation algorithm
منبع بنیادین	Zwicker, E., & Scharf, B. (1965). Psychoacoustics: Facts and Models. Springer-Verlag. ISBN: 978-3540631644	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	masking, temporal masking, frequency masking, auditory masking	FxLMS, filtered-x LMS, active noise cancellation, ANC
مرتبط	5	5
خلاصه	Psychoacoustic masking describes how the human auditory system suppresses the perception of weak sounds in the presence of stronger sounds. Formalized by Eberhard Zwicker in the 1960s, masking is a fundamental phenomenon in hearing and the basis for perceptual audio coding (MP3, AAC, OPUS). Masking occurs both in frequency (spectral masking) and time (temporal masking), and understanding these effects enables efficient audio compression and realistic sound design.	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.