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Algorytm FxLMS (Filtered-x Least Mean Squares) do aktywnej kontroli hałasu×Maskowanie psychoakustyczne×
DziedzinaAkustykaAkustyka
RodzinaProcess / pipelineProcess / pipeline
Rok powstania19751961
TwórcaBernard Widrow, Samuel StearnsEberhard Zwicker
TypAdaptive noise cancellation algorithmPerceptual model for audio systems
Źródło pierwotneWidrow, 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. DOI ↗Zwicker, E., & Scharf, B. (1965). Psychoacoustics: Facts and Models. Springer-Verlag. ISBN: 978-3540631644
Inne nazwyFxLMS, filtered-x LMS, active noise cancellation, ANCmasking, temporal masking, frequency masking, auditory masking
Pokrewne55
PodsumowanieThe 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.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.
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ScholarGatePorównaj metody: FxLMS Active Noise Control · Psychoacoustic Masking. Pobrano 2026-06-19 z https://scholargate.app/pl/compare