Design aspects for feed-forward multiple-input active noise controllers
Iranian Journal of Science and Technology
Improved active noise control performance based on Laguerre lattice
Signal Processing
A note on cancellation path modeling signal in active noise control
Signal Processing - Signal processing in UWB communications
Development and evaluation for an adaptive-feedback active noise cancellation headset
BioMed'06 Proceedings of the 24th IASTED international conference on Biomedical engineering
Laguerre escalator lattice and feedforward/feedback active noise control
Signal Processing
Fast RLS Fourier analyzers capable of accommodating frequency mismatch
Signal Processing
Step size bound of the sequential partial update LMS algorithm with periodic input signals
EURASIP Journal on Audio, Speech, and Music Processing
Filtered-X affine projection algorithms for active noise control using Volterra filters
EURASIP Journal on Applied Signal Processing
Nonlinear active noise control using EKF-based recurrent fuzzy neural networks
International Journal of Hybrid Intelligent Systems
Adjoint EKF learning in recurrent neural networks for nonlinear active noise control
Applied Soft Computing
A hybrid noise canceling structure with secondary path estimation
ACACOS'08 Proceedings of the 7th WSEAS International Conference on Applied Computer and Applied Computational Science
Developing a new Kalman filter based control strategy for isolating flexible structures
ISPRA'08 Proceedings of the 7th WSEAS International Conference on Signal Processing, Robotics and Automation
Filtered-X Adaptive Neuro-Fuzzy Inference Systems for Nonlinear Active Noise Control
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Active Noise Control Using a Feedforward Network with Online Sequential Extreme Learning Machine
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks
Phasor representation for narrowband active noise control systems
EURASIP Journal on Audio, Speech, and Music Processing - Intelligent Audio, Speech, and Music Processing Applications
An efficient online secondary path estimation for feedback active noise control systems
Digital Signal Processing
Efficient active noise controller using a fixed-point DSP
Signal Processing
A hybrid noise cancelling algorithm with secondary path estimation
WSEAS Transactions on Signal Processing
An active noise cancelling algorithm with secondary path modeling
ICCOMP'08 Proceedings of the 12th WSEAS international conference on Computers
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
A new approach to active noise and vibration control-part I: the known frequency case
IEEE Transactions on Signal Processing
A new approach to active noise and vibration control-part II: the unknown frequency case
IEEE Transactions on Signal Processing
Properties of FXLMS-based narrowband active noise control with online secondary-path modeling
IEEE Transactions on Signal Processing
Adaptive fractional Fourier domain filtering
Signal Processing
Nonlinear active noise control using NARX model structure selection
ACC'09 Proceedings of the 2009 conference on American Control Conference
Active control of a two-stage active vibration isolation system with online secondary path modeling
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Nonlinear active noise control with NARX models
IEEE Transactions on Audio, Speech, and Language Processing
Selective noise cancellation using independent component analysis
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Analysis of frequency mismatch in narrowband active noise control
IEEE Transactions on Audio, Speech, and Language Processing
Analysis of online secondary-path modeling with auxiliary noise scaled by residual noise signal
IEEE Transactions on Audio, Speech, and Language Processing
Efficient NLMS and RLS algorithms for perfect and imperfect periodic sequences
IEEE Transactions on Signal Processing
Expert Systems with Applications: An International Journal
Automatica (Journal of IFAC)
A filtered-X RLS algorithm for nonlinear active noise control
ICS'06 Proceedings of the 10th WSEAS international conference on Systems
Adaptive feedforward compensation algorithms for active vibration control with mechanical coupling
Automatica (Journal of IFAC)
Expert Systems with Applications: An International Journal
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
Model-free iterative learning control for repetitive impulsive noise using FFT
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part II
Nonlinear feedback active noise control for broadband chaotic noise
Applied Soft Computing
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)
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From the Publisher:Active noise control (ANC) is rapidly becoming the most effective way to reduce noises that can otherwise be very difficult and expensive to control. ANC is achieved by introducing a canceling "anti-noise" wave through an appropriate array of secondary sources. When applied accurately, ANC can provide effective solutions to noise-related problems in a broad range of areas, including manufacturing and industrial operations as well as consumer products. Consequently, ANC research and development has become an important focus of both industrial applications and engineering research. Active Noise Control Systems: Algorithms and DSP Implementations introduces the basic concepts of ANC with an emphasis on digital signal processing (DSP) hardware and adaptive signal processing algorithms, both of which have come into prominence within the last decade. The authors emphasize the practical aspects of ANC systems by combining the principles of adaptive signal processing with both experimental results and practical implementation. Applications are cited in many fields and encompass all types of noise media, including air-acoustic, hydroacoustic, vibrations, and others. The specific implementation stressed is based on the TMS320 family of signal processors from Texas Instruments, which are the most widely used worldwide. Coverage of theory includes concise derivations and analyses of commonly used adaptive structures and algorithms for active noise control applications, which are enhanced by the inclusion of a floppy disk featuring C and assembly programs for implementing many ANC systems. Mathematical representations are employed and the source code included on the disk is in a form that is easily accessible to anyone using the book. 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 de