ScholarGate
Pembantu

Bandingkan kaedah

Semak kaedah pilihan anda secara bersebelahan; baris yang berbeza akan diserlahkan.

Kawalan Bunyi Aktif FxLMS×Penyelindungan Psikoakustik×
BidangAkustikAkustik
KeluargaProcess / pipelineProcess / pipeline
Tahun asal19751961
PengasasBernard Widrow, Samuel StearnsEberhard Zwicker
JenisAdaptive noise cancellation algorithmPerceptual model for audio systems
Sumber perintisWidrow, 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
AliasFxLMS, filtered-x LMS, active noise cancellation, ANCmasking, temporal masking, frequency masking, auditory masking
Berkaitan55
RingkasanThe 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.
ScholarGateSet data
  1. v1
  2. 3 Sumber
  3. PUBLISHED
  1. v1
  2. 3 Sumber
  3. PUBLISHED

Pergi ke carian Muat turun slaid

ScholarGateBandingkan kaedah: FxLMS Active Noise Control · Psychoacoustic Masking. Dicapai 2026-06-19 daripada https://scholargate.app/ms/compare