Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/351738
Title: Design And Analysis On Multiband Pass Integrator
Researcher: Sumit Bhardwaj
Guide(s): Ashwni Kumar and R L Yadava
Keywords: Engineering
Engineering and Technology
Engineering Electrical and Electronic
University: Dr. A.P.J. Abdul Kalam Technical University
Completed Date: 2021
Abstract: Integrators and Differentiators play an important role when it comes to deal with summing newlineand differentiating various numerical data over some time. With the advancement in the newlinetechnology and increasing need for accuracy, it becomes a challenge to minimise the error newlineand approximate integrator with the minimum error or we can say with maximum possible newlineaccuracy so that the best results are obtained. Multiband pass integrators (MPI) are used newlineover single band integrators as they are capable of performing multiple operations at a newlinetime. They work on different frequencies at a single time in comparison to single band newlineintegrators which is operational at a single frequency at a time. Selection of exact newlinefrequency is of importance in many applications for example deciding of jamming newlinefrequency in radar for detection of objects, seismic measurements, navigations, etc. newlineIn this thesis, FIR based novel Multiband Pass Integrators have been approximated in newlinevarious ways. newlinei. Approximation of and#119875; and#771;(and#120596;) = 1/and#119895;and#120596;, to give equivalent response for the frequency newlinerange, 0 lt and#120596; lt and#120587;. newlineii. Approximation of and#119876; and#771; (and#120596;) = 1/and#120596;, to give equivalent response for the frequency newlinerange, 0 lt and#120596; lt and#120587;. newlineiii. Approximation of and#119875; and#771;(and#120596;) = 1/and#119895;and#120596;, to give equivalent response for the frequency newlinerange, 0 lt and#120596; lt and#120587; having multiple bands. newlineiv. Approximation of and#119876; and#771; (and#120596;) = 1/and#120596;, to give equivalent response for the frequency newlinerange, 0 lt and#120596; lt and#120587; having multiple bands. newlinev. Approximation of and#119875; and#771;(and#120596;) = 1/and#119895;and#120596;, to give equivalent response for multiband in newlinefrequency range, 0 lt and#120596; lt and#120587; using offset function. newlineiv newlinevi. Approximation of and#119876; and#771; (and#120596;) = 1/and#120596;, to give equivalent response for multiband in newlinefrequency range, 0 lt and#120596; lt and#120587; using offset function. newlinevii. Approximation and forecasting of and#119875; and#771; (and#120596;) = 1/and#119895;and#120596; by using the Linear Regression newlineMethod for frequency range, 0 lt and#120596;. newlineviii. Approximation and forecasting of and#119876; and#771; (and#120596;) = 1/and#120596; by using the Linear Regression newlineMethod for frequency range, 0 lt and#120596;. newlineProblems (i) and (ii) have been dealt with mathematical formulas to compute the newlineweights for M
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URI: http://hdl.handle.net/10603/351738
Appears in Departments:dean PG Studies and Research

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chapter 1.pdf186.92 kBAdobe PDFView/Open
chapter 2.pdf209.54 kBAdobe PDFView/Open
chapter 3.pdf802.38 kBAdobe PDFView/Open
chapter 4.pdf745.67 kBAdobe PDFView/Open
chapter 5.pdf464.12 kBAdobe PDFView/Open
chapter 6.pdf1.1 MBAdobe PDFView/Open
chapter 7.pdf253.44 kBAdobe PDFView/Open
preliminary pages.pdf179.01 kBAdobe PDFView/Open
title page.pdf52.03 kBAdobe PDFView/Open
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