Design of computationally efficient 2-D narrow-band FIR filters using sampling kernels and McClellan transformation
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, K.J. | - |
dc.contributor.author | Kim, J.H. | - |
dc.contributor.author | Nam, S.W. | - |
dc.date.accessioned | 2022-12-20T10:46:12Z | - |
dc.date.available | 2022-12-20T10:46:12Z | - |
dc.date.created | 2022-09-16 | - |
dc.date.issued | 2010-12 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/173325 | - |
dc.description.abstract | In this paper, a new method of designing 2-D linear-phase narrowband FIR filters is proposed by extending the conventional method of designing computationally efficient sharp linear-phase FIR filters, whereby the McClellan transformation and sampling kernels are utilized. In particulr, by applying the McClellan transformation to the sampling kernels and 1-D prototype model filters, we can design various types of 2-D narrow-band FIR filters (e.g., circular, elliptic, and diamond-shaped) with sharp transition. Design examples are included to demonstrate the effectiveness of the proposed design approach. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | ICROS | - |
dc.title | Design of computationally efficient 2-D narrow-band FIR filters using sampling kernels and McClellan transformation | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Nam, S.W. | - |
dc.identifier.doi | 10.1109/ICCAS.2010.5670317 | - |
dc.identifier.scopusid | 2-s2.0-78751502333 | - |
dc.identifier.bibliographicCitation | ICCAS 2010 - International Conference on Control, Automation and Systems, pp.1387 - 1390 | - |
dc.relation.isPartOf | ICCAS 2010 - International Conference on Control, Automation and Systems | - |
dc.citation.title | ICCAS 2010 - International Conference on Control, Automation and Systems | - |
dc.citation.startPage | 1387 | - |
dc.citation.endPage | 1390 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | 2-D FIR filter | - |
dc.subject.keywordPlus | Can design | - |
dc.subject.keywordPlus | Computationally efficient | - |
dc.subject.keywordPlus | Conventional methods | - |
dc.subject.keywordPlus | Design approaches | - |
dc.subject.keywordPlus | Linear-phase | - |
dc.subject.keywordPlus | Linear-phase FIR filters | - |
dc.subject.keywordPlus | McClellan transformations | - |
dc.subject.keywordPlus | Narrow bands | - |
dc.subject.keywordPlus | Prototype models | - |
dc.subject.keywordPlus | Sharp transition | - |
dc.subject.keywordPlus | Computational efficiency | - |
dc.subject.keywordPlus | Design | - |
dc.subject.keywordPlus | Linear transformations | - |
dc.subject.keywordPlus | FIR filters | - |
dc.subject.keywordAuthor | 2-D FIR filter | - |
dc.subject.keywordAuthor | McClellan transformation | - |
dc.subject.keywordAuthor | Sampling kernel | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/5670317 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.