Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/11091
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dc.coverage.spatialen_US
dc.date.accessioned2013-09-11T09:45:01Z-
dc.date.available2013-09-11T09:45:01Z-
dc.date.issued2013-09-11-
dc.identifier.urihttp://hdl.handle.net/10603/11091-
dc.description.abstractIn this dissertation, several algorithms to design linear phase Finite Impulse Response FIR) and Infinite Impulse Response (IIR) filters have been discussed. newlineContrary to various already existing standard algorithms,the proposed methods approximate magnitude and phase characteristics simultaneously. The basicmechanism used in this study is polynomial based design of digital filters. We have used several already existing polynomials; e.g., Chebyshev polynomials, Legendre polynomials, to develop linear phase digital filters and developed some two dimensional polynomials following orthogonal properties to design digital filters for image processing, their design methodology have also been discussed. newlineFilters of proposed type can be used for applications where exact linear phase is required. Another application of this type of filters is the design of filters with zero group delay. IIR filters are designed with absolute linear phase and zero group delay. newlineThe algorithms proposed in the present thesis allow user to design filters with his set of constraints, which is required in practical filter design problems. Very narrow band 1D and 2D linear phase FIR filters can easily be designed by the proposed methodology. The IIR filters proposed provide the guarantee to result in a stable filter. newlineAll the algorithms have been discussed stepwise to make sure that any one with basic programming capability can easily design them. We have not used any standard routine of any particular platform, therefore any freely available programming platform (like C, C++, Scilab, Octave, etc.) can be used to design these filters. newline newlineen_US
dc.format.extenten_US
dc.languageEnglishen_US
dc.relationen_US
dc.rightsuniversityen_US
dc.titlePolynomial Based Design of Linear Phase Recursive and Non Recursive Filtersen_US
dc.title.alternativeen_US
dc.creator.researcherKumar, Vinayen_US
dc.subject.keywordFIR Filtersen_US
dc.subject.keywordPolynomialsen_US
dc.description.noteen_US
dc.contributor.guideBhooshan, Sunil Vidyaen_US
dc.publisher.placeSolanen_US
dc.publisher.universityJaypee University of Information Technology, Solanen_US
dc.publisher.institutionDepartment of Electronics and Communication Engineeringen_US
dc.date.registered11-1-2006en_US
dc.date.completed27/03/2009en_US
dc.date.awarded27/03/2009en_US
dc.format.dimensionsen_US
dc.format.accompanyingmaterialDVDen_US
dc.source.universityUniversityen_US
dc.type.degreePh.D.en_US
Appears in Departments:Department of Electronics and Communication Engineering

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01_title.pdfAttached File116.62 kBAdobe PDFView/Open
02_acknowledgement.pdf255.11 kBAdobe PDFView/Open
03_contents.pdf554.48 kBAdobe PDFView/Open
04_list of figures.pdf2.02 MBAdobe PDFView/Open
05_chapter 1.pdf2.14 MBAdobe PDFView/Open
06_chapter 2.pdf1.19 MBAdobe PDFView/Open
07_chapter 3.pdf1.76 MBAdobe PDFView/Open
08_chapter 4.pdf2.81 MBAdobe PDFView/Open
09_chapter 5.pdf2.05 MBAdobe PDFView/Open
10_chapter 6.pdf4.25 MBAdobe PDFView/Open
11_chapter 7.pdf2.22 MBAdobe PDFView/Open
12_chapter 8.pdf6.52 MBAdobe PDFView/Open
13_chapter 9.pdf343.11 kBAdobe PDFView/Open
14_appendix.pdf223.79 kBAdobe PDFView/Open
15_references.pdf1.79 MBAdobe PDFView/Open
16_vita.pdf549.28 kBAdobe PDFView/Open


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