File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: State-space adaptive filtering based balanced realization

TitleState-space adaptive filtering based balanced realization
Authors
KeywordsFiltering
FIR coefficients
Adaptive
Balanced Realization
Issue Date2013
Citation
Proceedings of International Conference on Computers and Industrial Engineering, CIE, 2013, v. 1, p. 440-450 How to Cite?
AbstractBalanced realizations are attractive candidates for state-space adaptive filter structures due to low parameter sensitivity. Since the balanced realization minimizes the ratio of maximum-to-minimum eigenvalues of the Grammian matrices, this property may lead to an adaptive filter exhibiting good noise rejection. Thus a balanced realization would seem an appropriate choice for the structure of an adaptive filtering algorithm. This paper focuses on answering the research question how does one use discrete-time Lyapunov equations such that, upon adjusting the parameters, the terms in the system matrices vary in such a way that the solutions for the controllability and observability Grammian matrices are always diagonal and equal Here, using an alternative to the finite impulse response coefficients as the adaptive filter parameters, a state-space adaptive filtering based balanced realization is proposed for output-error minimization. The algorithm is in internally balanced realization. Simulation results show that the balanced structure yields good noise rejection compared with the controllable canonical form in steady-state. The simulation results from the experiments imply that the approach is able to reduce the fluctuation in steady-state compared with the controllable canonical structure under the same scenarios.
Persistent Identifierhttp://hdl.handle.net/10722/222156

 

DC FieldValueLanguage
dc.contributor.authorDai, Dameng-
dc.contributor.authorWu, Chengwen-
dc.contributor.authorZhong, Ray Y.-
dc.date.accessioned2015-12-21T06:49:03Z-
dc.date.available2015-12-21T06:49:03Z-
dc.date.issued2013-
dc.identifier.citationProceedings of International Conference on Computers and Industrial Engineering, CIE, 2013, v. 1, p. 440-450-
dc.identifier.urihttp://hdl.handle.net/10722/222156-
dc.description.abstractBalanced realizations are attractive candidates for state-space adaptive filter structures due to low parameter sensitivity. Since the balanced realization minimizes the ratio of maximum-to-minimum eigenvalues of the Grammian matrices, this property may lead to an adaptive filter exhibiting good noise rejection. Thus a balanced realization would seem an appropriate choice for the structure of an adaptive filtering algorithm. This paper focuses on answering the research question how does one use discrete-time Lyapunov equations such that, upon adjusting the parameters, the terms in the system matrices vary in such a way that the solutions for the controllability and observability Grammian matrices are always diagonal and equal Here, using an alternative to the finite impulse response coefficients as the adaptive filter parameters, a state-space adaptive filtering based balanced realization is proposed for output-error minimization. The algorithm is in internally balanced realization. Simulation results show that the balanced structure yields good noise rejection compared with the controllable canonical form in steady-state. The simulation results from the experiments imply that the approach is able to reduce the fluctuation in steady-state compared with the controllable canonical structure under the same scenarios.-
dc.languageeng-
dc.relation.ispartofProceedings of International Conference on Computers and Industrial Engineering, CIE-
dc.subjectFiltering-
dc.subjectFIR coefficients-
dc.subjectAdaptive-
dc.subjectBalanced Realization-
dc.titleState-space adaptive filtering based balanced realization-
dc.typeConference_Paper-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-84898832299-
dc.identifier.volume1-
dc.identifier.spage440-
dc.identifier.epage450-
dc.identifier.eissn2164-8689-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats