Journal ArticleDOI
A robust filtered-s LMS algorithm for nonlinear active noise control
Nithin V. George,Ganapati Panda +1 more
TLDR
In this article, a robust FsLMS algorithm is proposed for a functional link artificial neural network (FLANN) based active noise control (ANC) system which is least sensitive to such disturbances and does not call for any prior information on the noise characteristics.About:
This article is published in Applied Acoustics.The article was published on 2012-08-01. It has received 80 citations till now. The article focuses on the topics: Active noise control & Noise.read more
Citations
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Journal ArticleDOI
Review: Advances in active noise control: A survey, with emphasis on recent nonlinear techniques
Nithin V. George,Ganapati Panda +1 more
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 Particle-Swarm-Optimization-Based Decentralized Nonlinear Active Noise Control System
Nithin V. George,Ganapati Panda +1 more
TL;DR: This paper proposes a functional-link-artificial-neural-network-based (FLANN) multichannel nonlinear active noise control (ANC) system trained using a particle swarm optimization (PSO) algorithm suitable for nonlinear noise processes.
Journal ArticleDOI
Active impulsive noise control using maximum correntropy with adaptive kernel size
TL;DR: Simulation and experimental results demonstrate that the proposed filtered-x recursive maximum correntropy (FxRMC) algorithms achieve much better performance than the existing algorithms in various noise environments.
Journal ArticleDOI
Swarm and evolutionary computing algorithms for system identification and filter design: A comprehensive review
TL;DR: An exhaustive review on the use of structured stochastic search approaches towards system identification and digital filter design is presented, which focuses on the identification of various systems using infinite impulse response adaptive filters and Hammerstein models.
Journal ArticleDOI
Convex combination of nonlinear adaptive filters for active noise control
TL;DR: In this article, a nonlinear active noise control (ANC) system based on convex combination of a functional link artificial neural network (FLANN) and a Volterra filter is proposed.
References
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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.
Journal ArticleDOI
Robust anisotropic diffusion
TL;DR: It is shown that anisotropic diffusion can be seen as a robust estimation procedure that estimates a piecewise smooth image from a noisy input image and the connection to the error norm and influence function in the robust estimation framework leads to a new "edge-stopping" function based on Tukey's biweight robust estimator that preserves sharper boundaries than previous formulations and improves the automatic stopping of the diffusion.
Journal ArticleDOI
A Method for Simulating Stable Random Variables
TL;DR: In this article, a nonlinear transformation of two independent uniform random variables into one stable random variable is presented, which is a continuous function of each of the uniform random variable, and of α and a modified skewness parameter β' throughout their respective permissible ranges.
Journal ArticleDOI
Signal processing with fractional lower order moments: stable processes and their applications
M. Shao,Chrysostomos L. Nikias +1 more
TL;DR: A tutorial review of the basic characteristics of stable distributions and stable signal processing is presented, focusing on the differences and similarities between stable signal processors based on fractional lower-order moments and Gaussian signal processing methods based on second-order Moments.
Journal ArticleDOI
Adaptive Volterra filters for active control of nonlinear noise processes
Li Tan,Jean Jiang +1 more
TL;DR: Numerical simulation results show that the developed VFXLMS algorithm achieves performance improvement over the standard filtered-X LMS algorithm for the following two situations: the reference noise is a nonlinear noise process, and at the same time, the secondary path estimate is of nonminimum phase; and the primary path exhibits the nonlinear behavior.
Related Papers (5)
Active mitigation of nonlinear noise Processes using a novel filtered-s LMS algorithm
Debi Prasad Das,Ganapati Panda +1 more