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dc.contributor.authorKrishnan, Ashok
dc.contributor.authorKosbar, Kurt
dc.date.accessioned2016-04-14T19:12:24Zen
dc.date.available2016-04-14T19:12:24Zen
dc.date.issued2003-10en
dc.identifier.issn0884-5123en
dc.identifier.issn0074-9079en
dc.identifier.urihttp://hdl.handle.net/10150/605359en
dc.descriptionInternational Telemetering Conference Proceedings / October 20-23, 2003 / Riviera Hotel and Convention Center, Las Vegas, Nevadaen_US
dc.description.abstractIt can be challenging to select the best architecture for DSP filters for a given application. Design constraints often include both objective and subjective information. This paper discusses the initial results of an investigation into using expert system techniques to address this problem. The goal is a system that allows users to specify traditional constraints such as impulse response, frequency response, stability, SNR, etc., but they may also constrain the filter’s cost, complexity, or any parameter which can be clearly identified for the specific application.
dc.description.sponsorshipInternational Foundation for Telemeteringen
dc.language.isoen_USen
dc.publisherInternational Foundation for Telemeteringen
dc.relation.urlhttp://www.telemetry.org/en
dc.rightsCopyright © International Foundation for Telemeteringen
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectDigital Signal Processingen
dc.subjectExpert Systemsen
dc.subjectFilter Designen
dc.subjectArtificial Intelligenceen
dc.titleAN INVESTIGATION INTO USING EXPERT SYSTEMS FOR DIGITAL FILTER DESIGNen_US
dc.typetexten
dc.typeProceedingsen
dc.contributor.departmentUniversity of Missourien
dc.identifier.journalInternational Telemetering Conference Proceedingsen
dc.description.collectioninformationProceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.en
refterms.dateFOA2018-09-11T08:50:33Z
html.description.abstractIt can be challenging to select the best architecture for DSP filters for a given application. Design constraints often include both objective and subjective information. This paper discusses the initial results of an investigation into using expert system techniques to address this problem. The goal is a system that allows users to specify traditional constraints such as impulse response, frequency response, stability, SNR, etc., but they may also constrain the filter’s cost, complexity, or any parameter which can be clearly identified for the specific application.


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