Cited time in webofscience Cited time in scopus

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dc.contributor.author Lee, Seok-Jae -
dc.contributor.author Choi, Ji-Woong -
dc.contributor.author Kim, Seon Wook -
dc.contributor.author Park, Jongsun -
dc.date.accessioned 2018-01-25T01:14:49Z -
dc.date.available 2018-01-25T01:14:49Z -
dc.date.created 2017-04-10 -
dc.date.issued 2011-12 -
dc.identifier.issn 1063-8210 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/5383 -
dc.description.abstract This paper presents an architectural approach to the design of low power reconfigurable finite impulse response (FIR) filter. The approach is well suited when the filter order is fixed and not changed for particular applications, and efficient trade-off between power savings and filter performance can be made using the proposed architecture. Generally, FIR filter has large amplitude variations in input data and coefficients. Considering the amplitude of both the filter coefficients and inputs, the proposed FIR filter dynamically changes the filter order. Mathematical analysis on power savings and filter performance degradation and its experimental results show that the proposed approach achieves significant power savings without seriously compromising the filter performance. The power savings is up to 41.9% with minor performance degradation, and the area overhead of the proposed scheme is less than 5.3% compared to the conventional approach. © 2006 IEEE. -
dc.publisher Institute of Electrical and Electronics Engineers Inc. -
dc.title A Reconfigurable FIR Filter Architecture to Trade Off Filter Performance for Dynamic Power Consumption -
dc.type Article -
dc.identifier.doi 10.1109/TVLSI.2010.2088142 -
dc.identifier.wosid 000296459300008 -
dc.identifier.scopusid 2-s2.0-80455134735 -
dc.identifier.bibliographicCitation IEEE Transactions on Very Large Scale Integration (VLSI) Systems, v.19, no.12, pp.2221 - 2228 -
dc.subject.keywordAuthor Approximate filtering -
dc.subject.keywordAuthor low power filter -
dc.subject.keywordAuthor reconfigurable design -
dc.subject.keywordPlus Algorithm -
dc.subject.keywordPlus Approximate Filtering -
dc.subject.keywordPlus Architectural Approach -
dc.subject.keywordPlus Area Overhead -
dc.subject.keywordPlus Conventional Approach -
dc.subject.keywordPlus DEGRADATION -
dc.subject.keywordPlus DESIGN -
dc.subject.keywordPlus Dynamic Power Consumption -
dc.subject.keywordPlus Economic and Social Effects -
dc.subject.keywordPlus Filter Architecture -
dc.subject.keywordPlus Filter Coefficients -
dc.subject.keywordPlus Filter Performance -
dc.subject.keywordPlus Finite Impulse Response Filter -
dc.subject.keywordPlus Fir Filters -
dc.subject.keywordPlus Impulse Response -
dc.subject.keywordPlus Input Datas -
dc.subject.keywordPlus Large Amplitude -
dc.subject.keywordPlus LOW-COMPLEXITY -
dc.subject.keywordPlus Low Power -
dc.subject.keywordPlus Low Power Filter -
dc.subject.keywordPlus Mathematical Analysis -
dc.subject.keywordPlus Performance Degradation -
dc.subject.keywordPlus Power Savings -
dc.subject.keywordPlus Proposed Architectures -
dc.subject.keywordPlus Re-Configurable -
dc.subject.keywordPlus Reconfigurable Design -
dc.subject.keywordPlus Trade off -
dc.citation.endPage 2228 -
dc.citation.number 12 -
dc.citation.startPage 2221 -
dc.citation.title IEEE Transactions on Very Large Scale Integration (VLSI) Systems -
dc.citation.volume 19 -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.relation.journalResearchArea Computer Science; Engineering -
dc.relation.journalWebOfScienceCategory Computer Science, Hardware & Architecture; Engineering, Electrical & Electronic -
dc.type.docType Article -
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Department of Electrical Engineering and Computer Science CSP(Communication and Signal Processing) Lab 1. Journal Articles

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