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Performance Evaluation of Baseband Communication Using Gaussian Pulse Train

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dc.contributor.author Likhon, Mahabubur Rahman
dc.contributor.author Huq, Mahmuda
dc.date.accessioned 2017-01-08T08:08:39Z
dc.date.available 2017-01-08T08:08:39Z
dc.date.issued 8/21/2016
dc.identifier.uri http://dspace.ewubd.edu/handle/2525/2010
dc.description This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electronics and Telecommunication Engineering of East West University, Dhaka, Bangladesh en_US
dc.description.abstract 4 Abstract According to Nyquist law of baseband communication, the received signal against a rectangular transmitted pulse will be a sinc pulse. Therefore rectangular pulse train will produce sinc pulse train at receiving end and the sampling instant will be at zero crossing points of the sinc pulse train. Only the desired pulse will provide the level of received signal since all other sinc pulses passed through zero but small jitter will produce huge error which is minimized by using raised cosine pulse instead of sinc pulse. Then raised cosine pulse alleviates the limitation of ideal LP characteristics of sinc pulse as well as the amplitude of tails of since pulse is heavily reduced in raised cosine pulse. Our objective is to make the amplitude of tail of sinc or raised cosine pulse to zero (hence jitter error is eliminated) at the same time the limitation of ideal LP characteristics of since pulse will be eliminated. The job is done Gaussian pulse at receiving end since Fourier transform of such pulse does not change the shape of the pulse at the same time amplitude of tail of the Gaussian pulse is zero. We measure the performance of three pulses at receiving end based on received SNR in dB varying jitter error and found the Gaussian as the best. en_US
dc.language.iso en_US en_US
dc.publisher East West University en_US
dc.relation.ispartofseries ;ECE00107
dc.subject Baseband Communication using Gaussian Pulse Train en_US
dc.title Performance Evaluation of Baseband Communication Using Gaussian Pulse Train en_US
dc.type Thesis en_US


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