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A Low gate count reconfigurable architecture for biomedical signal processing applications

dc.contributor.affiliationDA-IICT, Gandhinagar
dc.contributor.authorJain, Nupur
dc.contributor.authorMishra, Biswajit
dc.contributor.authorWilson, Peter
dc.contributor.researcherJain, Nupur (201221008)
dc.date.accessioned2025-08-01T13:09:38Z
dc.date.issued08-03-2021
dc.description.abstractA new reconfigurable architecture for biomedical applications is presented in this paper. The architecture targets frequently encountered functions in biomedical signal processing algorithms thereby replacing multiple dedicated accelerators and reports low gate count. An optimized implementation is achieved by mapping methodologies to functions and limiting the required memory leading directly to an overall minimization of gate count. The proposed architecture has a simple configuration scheme with special provision for handling feedback. The effectiveness of the architecture is demonstrated on an FPGA to show implementation schemes for multiple DSP functions. The architecture has gate count of�25k and an operating frequency of 46.9 MHz.
dc.identifier.citationNupur Jain, Mishra, Biswajitand Peter Wilson "A Low gate count reconfigurable architecture for biomedical signal processing applications," SN Applied Sciences, Springer Nature, vol. 3, issue. 4, Article No. 439, ISSN: 25233971, 2021, doi: 10.1007/s42452-021-04412-y.
dc.identifier.doi10.1007/s42452-021-04412-y
dc.identifier.issn3004-9261
dc.identifier.scopus2-s2.0-85103265233
dc.identifier.urihttps://ir.daiict.ac.in/handle/dau.ir/2082
dc.identifier.wosWOS:000626968500004
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofseriesVol. 3; No. 4
dc.source SN Applied Sciences
dc.source.urihttps://link.springer.com/article/10.1007/s42452-021-04412-y
dc.titleA Low gate count reconfigurable architecture for biomedical signal processing applications
dspace.entity.typePublication
relation.isAuthorOfPublicationa0d02c67-380f-4408-bf67-20c265f67093
relation.isAuthorOfPublicationa0d02c67-380f-4408-bf67-20c265f67093
relation.isAuthorOfPublication.latestForDiscoverya0d02c67-380f-4408-bf67-20c265f67093

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