Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/342180
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dc.coverage.spatialVlsi implementation of low power inverse fast fourier transform architecture using efficient pruning algorithm
dc.date.accessioned2021-09-27T07:26:07Z-
dc.date.available2021-09-27T07:26:07Z-
dc.identifier.urihttp://hdl.handle.net/10603/342180-
dc.description.abstractRecent researches are encouraged to develop a new method of designing in wireless communication systems and digital signal processors in algorithmic level and structural level. Communication modules as well as processors are improving by adopting good design methods for better design quality. Recent trends are encouraging the data speed and processing of huge data through a communication channel. Power consumption is also a major threat in the design of architectural level design. Researchers are encouraging to develop an optimized design in the sense of power consumption and speed of the system. Inverse Fast Fourier Transform is a major part in communication modules and DSP processor. IFFT includes large number of arithmetic operation during their operation. For each operation it performs large number of switching operations and consumes large amount of power. Pruning algorithms encourages reducing the number of switching activity by reducing the number of operations in Inverse Fast Fourier Transform. An enhanced pruning algorithm is utilized to reduce the number of arithmetic operations in the IFFT architecture. The performance of the improved IFFT architecture is estimated to find its suitability for the low power Wireless communication system. An arithmetic operation includes addition, subtraction and multiplication. Each arithmetic operation is designed based on the number of ones and zeros in the input data pattern. Based on the set of input data number of switching operations can be reducing by introducing the enhanced pruning algorithm to the IFFT. Each operator is programmed based on the enhanced newline
dc.format.extentxx,135p.
dc.languageEnglish
dc.relationp.136-134
dc.rightsuniversity
dc.titleVlsi implementation of low power inverse fast fourier transform architecture using efficient pruning algorithm
dc.title.alternative
dc.creator.researcherAbraham C G
dc.subject.keywordCommunication modules
dc.subject.keywordPruning algorithms
dc.subject.keyword
dc.description.note
dc.contributor.guideMadheswaran M
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registeredn.d.
dc.date.completed2020
dc.date.awarded2020
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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02_certificates.pdf268.37 kBAdobe PDFView/Open
03_vivaproceedings.pdf497.52 kBAdobe PDFView/Open
04_bonafidecertificate.pdf356.8 kBAdobe PDFView/Open
05_abstracts.pdf279.34 kBAdobe PDFView/Open
06_acknowledgements.pdf362.21 kBAdobe PDFView/Open
07_contents.pdf280.84 kBAdobe PDFView/Open
08_listoftables.pdf275.57 kBAdobe PDFView/Open
09_listoffigures.pdf271.05 kBAdobe PDFView/Open
10_listofabbreviations.pdf271.01 kBAdobe PDFView/Open
11_chapter1.pdf6.11 MBAdobe PDFView/Open
12_chapter2.pdf6.11 MBAdobe PDFView/Open
13_chapter3.pdf6.11 MBAdobe PDFView/Open
14_chapter4.pdf6.11 MBAdobe PDFView/Open
15_chapter5.pdf6.11 MBAdobe PDFView/Open
16_chapter6.pdf6.11 MBAdobe PDFView/Open
17_conclusion.pdf6.12 MBAdobe PDFView/Open
18_references.pdf6.12 MBAdobe PDFView/Open
19_listofpublications.pdf6.12 MBAdobe PDFView/Open
80_recommendation.pdf147.15 kBAdobe PDFView/Open


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