Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/568520
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dc.coverage.spatialDesign of efficient arithmetic datapath units for digital image and signal processing
dc.date.accessioned2024-06-03T07:04:46Z-
dc.date.available2024-06-03T07:04:46Z-
dc.identifier.urihttp://hdl.handle.net/10603/568520-
dc.description.abstractArithmetic operations employed in Very Large Scale Integration (VLSI) newlinecircuits majorly involve both exact and inexact computing. Exact computing newlineis used in high accuracy applications. There are applications that demands newlinelow power, high speed, less area relaxing the high accuracy works well with newlineacceptable results. Approximate or in-exact computing returns possibly newlineinaccurate result rather than a guaranteed accurate result where the system newlineintentionally exposes incorrectness to the application layer in return newlineconserving hardware resource. Currently, approximate computing technology newlineincreases efficiency with accuracy in terms of operating time, area and power. newlineApproximate computation is intended to add approximation levels from the newlinelevel of software, algorithms, architecture, logic or transistors to various newlinedesign levels. newlineThe main concern in approximate computing is the identification of the newlinesection of the application that can be approximated. Mostly it is introduced on newlinenon-critical data. Researchers are working on different layers like device newlinelevel, circuit level and high level abstraction levels to reduce power, area and newlinedelay at the cost of tolerable error. Significant attention to decrease power newlineconsumption, as it determines the system cost, packaging, battery life, thermal newlineand electrical limits of the devices is need of the day. They create space and newlineenergy-efficient structures for battery-powered portable electronics. newlineApproximate circuits are used in image and video processing applications and newlineapplication circuits that handle human sensing signals like hearing, touch, and newlinesmell because a little error in the output does not damage the visual quality or newlinehearing sense.Most of the electronic designs are focused on novel power newlinereduction techniques resulting in saving IC power by a large percentage newline newline
dc.format.extentxxv,172p.
dc.languageEnglish
dc.relationp.164-171
dc.rightsuniversity
dc.titleDesign of efficient arithmetic datapath units for digital image and signal processing
dc.title.alternative
dc.creator.researcherGnanambikai, P
dc.subject.keywordarithmetic datapath
dc.subject.keyworddigital image
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electronics and Communications
dc.subject.keywordsignal processing
dc.description.note
dc.contributor.guideVijeyakumar, K N
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2024
dc.date.awarded2024
dc.format.dimensions21cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File25.54 kBAdobe PDFView/Open
02_prelim pages.pdf1.57 MBAdobe PDFView/Open
03_content.pdf397.99 kBAdobe PDFView/Open
04_abstract.pdf14.89 kBAdobe PDFView/Open
05_chapter 1.pdf191.7 kBAdobe PDFView/Open
06_chapter 2.pdf215.05 kBAdobe PDFView/Open
07_chapter 3.pdf1.4 MBAdobe PDFView/Open
08_chapter 4.pdf1.04 MBAdobe PDFView/Open
09_chapter 5.pdf1.04 MBAdobe PDFView/Open
10_annexures.pdf104.15 kBAdobe PDFView/Open
80_recommendation.pdf128.35 kBAdobe PDFView/Open


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