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Journal ArticleDOI

Modified-filtered-u LMS algorithm for active noise control and its application to a short acoustic duct

TLDR
In this paper, a modified-filtered-u LMS (MFU-LMS) algorithm is proposed for active noise control in a short acoustic duct of an automobile engine.
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This article is published in Mechanical Systems and Signal Processing.The article was published on 2011-01-01. It has received 45 citations till now. The article focuses on the topics: Adaptive algorithm & Active noise control.

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Citations
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Journal ArticleDOI

Review: Advances in active noise control: A survey, with emphasis on recent nonlinear techniques

TL;DR: The focus of this study is on the use of signal processing and some recent soft computing tools on the development of active noise control systems.
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

Multi-channel adaptive active vibration control of piezoelectric smart plate with online secondary path modelling using PZT patches

TL;DR: A new multi-channel FXLMS with online secondary path modelling (SPM) is designed based on the auxiliary random noise technique and experimental results show that the vibration of the smart cantilever plate could be effectively attenuated with a high convergence rate.
Journal ArticleDOI

On the development of adaptive hybrid active noise control system for effective mitigation of nonlinear noise

TL;DR: A novel filtered-su LMS (FsuLMS) algorithm based ANC system which employs a convex combination of an adaptive IIR filter with a functional link artificial neural network (FLANN) is proposed in this paper.
Journal ArticleDOI

A New Method for Active Cancellation of Engine Order Noise in a Passenger Car

TL;DR: In this paper, an adaptive filter with an optimal weight vector for the active control of a quasi-stationary narrowband sinusoidal signal was proposed to reduce the engine noise inside the cabin of a car.
References
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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.
Book

Active Noise Control Systems: Algorithms and DSP Implementations

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.
Journal ArticleDOI

A variable step size LMS algorithm

TL;DR: A least-mean-square adaptive filter with a variable step size, allowing the adaptive filter to track changes in the system as well as produce a small steady state error, is introduced.
Journal ArticleDOI

A variable step (VS) adaptive filter algorithm

TL;DR: It is shown that an upper bound for the convergence time is the classical mean-square-error time constant, and examples are given to demonstrate that for broad signal classes the convergenceTime is reduced by a factor of up to 50 in noise canceller applications for the proper selection of variable step parameters.
Journal ArticleDOI

Development of the filtered‐U algorithm for active noise control

TL;DR: The filtered‐X algorithm developed by Widrow and Burgess is an alternate form of the least‐mean‐square (LMS) algorithm for use when there are transfer functions in the auxiliary path following the adaptive filter to ensure convergence.