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Journal ArticleDOI

Active noise control: a tutorial review

Sen M. Kuo, +1 more
- Vol. 87, Iss: 6, pp 943-973
TLDR
The basic adaptive algorithm for ANC is developed and analyzed based on single-channel broad-band feedforward control, then modified for narrow-bandFeedforward and adaptive feedback control, which are expanded to multiple-channel cases.
Abstract
Active noise control (ANC) is achieved by introducing a cancelling "antinoise" wave through an appropriate array of secondary sources. These secondary sources are interconnected through an electronic system using a specific signal processing algorithm for the particular cancellation scheme. ANC has application to a wide variety of problems in manufacturing, industrial operations, and consumer products. The emphasis of this paper is on the practical aspects of ANC systems in terms of adaptive signal processing and digital signal processing (DSP) implementation for real-world applications. In this paper, the basic adaptive algorithm for ANC is developed and analyzed based on single-channel broad-band feedforward control. This algorithm is then modified for narrow-band feedforward and adaptive feedback control. In turn, these single-channel ANC algorithms are expanded to multiple-channel cases. Various online secondary-path modeling techniques and special adaptive algorithms, such as lattice, frequency-domain, subband, and recursive-least-squares, are also introduced. Applications of these techniques to actual problems are highlighted by several examples.

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Citations
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Journal ArticleDOI

Microscale acoustofluidics: Microfluidics driven via acoustics and ultrasonics

TL;DR: In this article, the use of acoustic fields, principally ultrasonics, for application in microfluidics is reviewed, and the abundance of interesting phenomena arising from nonlinear interactions in ultrasound that easily appear at these small scales is considered, especially in surface acoustic wave devices that are simple to fabricate with planar lithography techniques.
Journal ArticleDOI

Recent Advances on Active Noise Control: Open Issues and Innovative Applications

TL;DR: 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.
Journal ArticleDOI

Vibration analysis for bearing fault detection and classification using an intelligent filter

TL;DR: In this paper, an intelligent method based on artificial neural networks (ANNs) was proposed to detect bearing defects of induction motors. But, the proposed method is based on analyzing time-domain features which needs less computational effort.
Journal ArticleDOI

Cross-updated active noise control system with online secondary path modeling

TL;DR: Three cross-updated least mean square (LMS) adaptive filters are used to reduce mutual disturbances between the operation of the ANC controller and the modeling of the secondary path.
Journal ArticleDOI

A new variable step size LMS algorithm-based method for improved online secondary path modeling in active noise control systems

TL;DR: Computer simulations show that the proposed method for online secondary path modeling in active noise control systems gives better performance than the existing methods, but at the cost of a slightly increased computational complexity.
References
More filters
Book

Adaptive Filter Theory

Simon Haykin
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.
Book

Adaptive Signal Processing

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.
Journal ArticleDOI

Discrete Cosine Transform

TL;DR: In this article, a discrete cosine transform (DCT) is defined and an algorithm to compute it using the fast Fourier transform is developed, which can be used in the area of digital processing for the purposes of pattern recognition and Wiener filtering.
Book

Adaptive filtering prediction and control

TL;DR: This unified survey focuses on linear discrete-time systems and explores the natural extensions to nonlinear systems and summarizes the theoretical and practical aspects of a large class of adaptive algorithms.
Journal ArticleDOI

Adaptive noise cancelling: Principles and applications

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.