NDLI: A nonlinear active noise control scheme with on-line model structure selection

Content Provider	IEEE Xplore Digital Library
Author	Delvecchio, D. Piroddi, L.
Copyright Year	2011
Description	Author affiliation: Dipartimento di Elettronica e Informazione, Politecnico di Milano, Via Ponzio 34/5, 20133, Italy (Delvecchio, D.; Piroddi, L.)
Abstract	In nonlinear active noise control (ANC) applications the on-line tuning of the parameters of the nonlinear control filter is not sufficient to guarantee the required model accuracy, and a suitable model structure adaptation scheme must be included. However, the ANC setting configures an indirect model identification problem which does not give direct access to the target output signal for the filter model. As such, the filter adaptation problem cannot be solved with the linear regression tools usually employed for model selection. A modified ANC scheme is here proposed, where the controller adaptation loop is reconfigured as a direct identification problem, to allow for model selection, and an auxiliary adaptation loop is introduced to compensate for the error resulting from the scheme modification. Some simulation examples are reported to show the algorithm effectiveness.
Starting Page	8014
Ending Page	8019
File Size	298637
Page Count	6
File Format	PDF
ISBN	9781612848006
ISSN	07431546
e-ISBN	9781612848013
e-ISBN	9781612847993
DOI	10.1109/CDC.2011.6160514
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptation models Finite impulse response filter Filtering algorithms Noise Least squares approximation Computational modeling Polynomials
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Modeling and Simulation

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Online secondary path modeling in active noise control system using PBS-LMS algorithm

Modeling of a Robust and Fast Noise Cancellation System

Filter bank design for an adaptive subband structure with critical sampling using a new adaptation scheme

Online identification scheme via modified response error method

Optimum Finite Impulse Response Digital Filter Design Using Computational Intelligence Based Optimization Algorithms

Nonlinear multichannel active noise control using partial updates [acoustic noise control]

Kernel selection in linear system identification part II: A classical perspective

Deconvolution of non-minimum phase FIR systems using adaptive filtering

Computing minimum-phase factors of polynomials

A nonlinear active noise control scheme with on-line model structure selection

Similar Documents

Online secondary path modeling in active noise control system using PBS-LMS algorithm

Modeling of a Robust and Fast Noise Cancellation System

Filter bank design for an adaptive subband structure with critical sampling using a new adaptation scheme

Online identification scheme via modified response error method

Optimum Finite Impulse Response Digital Filter Design Using Computational Intelligence Based Optimization Algorithms

Nonlinear multichannel active noise control using partial updates [acoustic noise control]

Kernel selection in linear system identification part II: A classical perspective

Deconvolution of non-minimum phase FIR systems using adaptive filtering

Computing minimum-phase factors of polynomials

A nonlinear active noise control scheme with on-line model structure selection