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dc.contributor.authorLee, Chiou-Yngen_US
dc.contributor.authorMeher, Pramod Kumaren_US
dc.contributor.authorFan, Chia-Chenen_US
dc.contributor.authorYuan, Shyan-Mingen_US
dc.date.accessioned2017-04-21T06:56:36Z-
dc.date.available2017-04-21T06:56:36Z-
dc.date.issued2017-02en_US
dc.identifier.issn1063-8210en_US
dc.identifier.urihttp://dx.doi.org/10.1109/TVLSI.2016.2605183en_US
dc.identifier.urihttp://hdl.handle.net/11536/133186-
dc.description.abstractIn this paper, we have shown that a regular Toeplitz matrix-vector product (TMVP) can be transformed into a Toeplitz block TMVP (TBTMVP) using a suitable permutation matrix. Based on the TBTMVP representation, we have proposed a new (a, b)-way TBTMVP decomposition algorithm for implementing a digit-serial multiplication. Moreover, it is shown that, based on iterative block recombination, we can improve the space complexity of the proposed TBTMVP decomposition. From the synthesis results, we have shown that the proposed TBTMVP-based multiplier involves less area, less area-delay product, and higher throughput compared with the existing digitserial multipliers.en_US
dc.language.isoen_USen_US
dc.subjectKaratsuba algorithmen_US
dc.subjectshifted polynomial basis (SPB)en_US
dc.subjectToeplitz matrix-vector product (TMVP)en_US
dc.titleLow-Complexity Digit-Serial Multiplier Over GF(2(m)) Based on Efficient Toeplitz Block Toeplitz Matrix-Vector Product Decompositionen_US
dc.identifier.doi10.1109/TVLSI.2016.2605183en_US
dc.identifier.journalIEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMSen_US
dc.citation.volume25en_US
dc.citation.issue2en_US
dc.citation.spage735en_US
dc.citation.epage746en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000394593300030en_US
Appears in Collections:Articles