Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/27271
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dc.coverage.spatialVLSI design of energy efficient high Speed multipliers based on vedic Mathematicsen_US
dc.date.accessioned2014-10-29T08:56:45Z-
dc.date.available2014-10-29T08:56:45Z-
dc.date.issued2014-10-29-
dc.identifier.urihttp://hdl.handle.net/10603/27271-
dc.description.abstractThe need for high speed processing has been increasing as a result of newlineexpanding signal processing and cryptography applications To achieve this newlineobjective high speed multipliers and adders which form the core modules newlineare required In addition the different types of applications demand different newlineperformance measures such as scalability reconfigurability high speed low newlinepower consumption regularity of layout and less area or a combination of one newlineor more of these features The modular exponentiation is a common operation used in newlinescrambling and public key cryptosystems and involves repeated iterative newlineapplication of modular multiplication The performance of public key newlinecryptosystems is primarily determined by the implementation efficiency of newlinethe modular multiplication and exponentiation operations There are various newlinereported algorithms to perform modular multiplications The most prominent newlineones are Karatsuba Ofman Algorithm Booth Algorithm Barrett Reduction newlineMethod Montgomery Algorithm In particular Karatsuba Ofman algorithm is newlineconsidered as one of the fastest ways to multiply long integers It is based on a newlinedivide and conquer strategy newline newlineen_US
dc.format.extentxiii, 74p.en_US
dc.languageEnglishen_US
dc.relationp67-72.en_US
dc.rightsuniversityen_US
dc.titleVLSI design of energy efficient high Speed multipliers based on vedic Mathematicsen_US
dc.title.alternativeen_US
dc.creator.researcherRamalatha Sen_US
dc.subject.keywordMontgomery Algorithmen_US
dc.subject.keywordPublic key cryptosystemsen_US
dc.description.notereference p67-72.en_US
dc.contributor.guideSridharan Den_US
dc.publisher.placeChennaien_US
dc.publisher.universityAnna Universityen_US
dc.publisher.institutionFaculty of Information and Communication Engineeringen_US
dc.date.registeredn.d,en_US
dc.date.completed01/06/2007en_US
dc.date.awarded30/06/2007en_US
dc.format.dimensions23cm.en_US
dc.format.accompanyingmaterialNoneen_US
dc.source.universityUniversityen_US
dc.type.degreePh.D.en_US
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File31.27 kBAdobe PDFView/Open
02_certificate.pdf5.61 kBAdobe PDFView/Open
03_abstract.pdf7.98 kBAdobe PDFView/Open
04_acknowledgement.pdf5.94 kBAdobe PDFView/Open
05_content.pdf18.75 kBAdobe PDFView/Open
06_chapter1.pdf80.36 kBAdobe PDFView/Open
07_chapter2.pdf165.89 kBAdobe PDFView/Open
08_chapter3.pdf23.1 kBAdobe PDFView/Open
09_chapter4.pdf27.36 kBAdobe PDFView/Open
10_chapter5.pdf1.68 MBAdobe PDFView/Open
11_chapter6.pdf10.88 kBAdobe PDFView/Open
12_appendix.pdf12.39 kBAdobe PDFView/Open
13_reference.pdf24.84 kBAdobe PDFView/Open
14_publication.pdf5.46 kBAdobe PDFView/Open
15_vitae.pdf5.19 kBAdobe PDFView/Open


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