Recent Advances on Active Noise Control: Open Issues and Innovative Applications
Yoshinobu Kajikawa,Woon-Seng Gan,Sen M. Kuo +2 more
- Vol. 1, Iss: 388, pp 103-108
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TLDR
Active noise control (ANC) was developed in the early 20th century to help reduce noise as discussed by the authors, but it is still not widely used owing to the effectiveness of control algorithms, and to the physical and economical constraints of practical applications.Abstract:
The problem of acoustic noise is becoming increasingly serious with the growing use of industrial and medical equipment, appliances, and consumer electronics. Active noise control (ANC), based on the principle of superposition, was developed in the early 20th century to help reduce noise. However, ANC is still not widely used owing to the effectiveness of control algorithms, and to the physical and economical constraints of practical applications. In this paper, we briefly introduce some fundamental ANC algorithms and theoretical analyses, and focus on recent advances on signal processing algorithms, implementation techniques, challenges for innovative applications, and open issues for further research and development of ANC systems.read more
Citations
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Stability Consideration and Implementation of a Robust Hybrid Feedback Active Noise Cancellation Headset
Ying Song,Senjin Liu,Yu Gong +2 more
TL;DR: It is analytically show that adding an analog feedback loop into the digital ANC systems can effectively reduce the plant fluctuation, thus achieving a more robust system.
Journal ArticleDOI
Active Noise Control Over Space: A Wave Domain Approach
TL;DR: Simulation results demonstrate the effectiveness of the proposed wave-domain adaptive algorithms, more specifically the convergence speed and the noise cancellation performance in terms of the noise reduction level and acoustic potential energy reduction level over the entire spatial region.
Journal ArticleDOI
A survey on active noise control in the past decade–Part II: Nonlinear systems
TL;DR: The development of the linear active noise control (ANC) technique in the past decade was reviewed, with recent advances of NLANC algorithms, such as spline ANC algorithms, kernel adaptive filters, and nonlinear distributed ANC algorithms.
Journal ArticleDOI
Frequency-Domain Filtered-x LMS Algorithms for Active Noise Control: A Review and New Insights
TL;DR: A new delayless frequency-domain ANC algorithm is proposed that completely removes the two kinds of delays and has a low complexity.
Journal ArticleDOI
Stochastic Analysis of the Filtered-x LMS Algorithm for Active Noise Control
TL;DR: A comprehensive statistical convergence analysis of the FxLMS algorithm without assuming a specific model for the reference signal and the covariance matrix of the augmented weight-error vector is evaluated using the vectorization operation, which makes the analysis easy to follow and suitable for arbitrary input distributions.
References
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TL;DR: In this paper, the authors propose a recursive least square adaptive filter (RLF) based on the Kalman filter, which is used as the unifying base for RLS Filters.
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Adaptive Signal Processing
Bernard Widrow,Samuel D. Stearns +1 more
TL;DR: This chapter discusses Adaptive Arrays and Adaptive Beamforming, as well as other Adaptive Algorithms and Structures, and discusses the Z-Transform in Adaptive Signal Processing.
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Adaptive noise cancelling: Principles and applications
Bernard Widrow,J.R. Glover,John M. McCool,J. Kaunitz,C.S. Williams,R.H. Hearn,James R. Zeidler,Jr. Eugene Dong,R.C. Goodlin +8 more
TL;DR: It is shown that in treating periodic interference the adaptive noise canceller acts as a notch filter with narrow bandwidth, infinite null, and the capability of tracking the exact frequency of the interference; in this case the canceller behaves as a linear, time-invariant system, with the adaptive filter converging on a dynamic rather than a static solution.
Book
Active Noise Control Systems: Algorithms and DSP Implementations
Sen M. Kuo,Dennis R. Morgan +1 more
TL;DR: For practicing engineers, researchers, and advanced students in signal processing, Active Noise Control Systems: Algorithms and DSP Implementations will serve as a comprehensive, state-of-the-art text/reference on this important and rapidly changing area of signal processing.