STATEMENT OF PURPOSE ‘Success is a journey‚ not the destination’. This is one of my favorite percepts and at this point in my life when I am about to complete my undergraduate program and my future is going to unfold in front of me like a maze‚ a dream; this maxim has never influenced my life more than this before. Let me introduce myself‚ I was completed my undergraduate program in Electronics and Communication Engineering in Sri
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Factors Affecting The Resistance Of Wire Aim: To investigate the factors that affect the resistance in a conductor. The main factors that affect the resistance in a conductor are: · Length · Temperature · Cross sectional area · Material · Magnetism The factor that we are going to change is the cross sectional area. Hypothesis: I think that the higher the cross sectional area‚ the lower the resistance in the conductor will be. This is because the Resistance in a metal conductor happens
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Sessional End Semester CT TA TOT P Th P 10 10 20 80 30 20 50 100 Total 100 150 Credits 3 4 Technical 3 Writing Mathematics- III 3 3 4 5 6 7 EE- 305 EC- 301 EC -302 EC- 303 AU-301/ AU-401 Sensor and Instrumentation Electronic Devices Digital Design Signals and Systems Human Values and Professional Ethics 3 3 3 3 2 1 1 1 1 1 2 2 2 2 0 20 20 20 20 10 10 30 10 30 10 30 10 30 10 20 15 15 15 15 - 100 100 100 100 80 30 30 30 30 - 175 175 175 175 100 5 5 5 5 Comp Audit
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rendezvous systems; meteorological precipitation monitoring; altimetry and flight control systems; guided missile target locating systems; and ground-penetrating radar for geological observations. High tech radar systems are associated with digital signal processing and are capable of extracting useful information from very high noise levels. Other systems similar to radar make use of other parts of the
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equalization algorithm was presented by establishing a nonlinear relationship between the two relevant statistics for step-size factor μ ( n ) and the error signal e( n ) . Compared with other algorithms‚ this algorithm overcomes of sensitivity to the noise coming from outside by introducing the statistics for the correlation of error signal e( n ) . Meanwhile‚ this algorithm presents some improvement on the principle of robustness. Theoretical analysis and simulation results indicate that this
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because of my natural ability in technology and my liking for the Electronic field .While studying for my degree‚ I took keen interest in Electronic device and Circuit‚ Electrical Technology‚ Network analysis‚ Signal & Systems‚ Pulse and digital Circuits‚ Control system‚‚ Digital signal processing‚ Microprocessors & Interfacing‚ Microwave Engineering‚. I have given seminar on difference topic related to Electronic such as “Electrooculography guidance of a Wheelchair using Eye movement Codification”.
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Applications Digital Logic Circuits Practical Control Systems Laboratory Linear and Digital Integrated Circuits Laboratory Electrical Machines I Laboratory 0 0 0 0 0 0 3 3 3 2 2 2 29 Subject Theory 3 3 3 3 3 3 1 1 1 1 0 1 0 0 0 0 0 0 4 4 4 4 3 4 L T P C Total SEMESTER V S. No. 1 2 3 4 5 6 7 8 9 Subject Code MG1301 EE1301 EE1302 EC1307 EC1308 CS1312 EE1303 EC1309 CS1313 Subject Theory Total Quality Management Electrical Machines II Transmission and Distribution Engineering Digital Signal Processing
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matlab programs for the digital computation of the fractional Fourier transform that are freely available and we describe our own implementation that filters the best out of the existing ones. Two types of transforms are considered: First the fast approximate fractional Fourier transform algorithm for which two algorithms are available. The method is described in H.M. Ozaktas‚ M.A. Kutay‚ and G. Bozda˘i. Digital computation of the fractional Fourier transform. g IEEE Trans. Signal Process.‚ 44:2141–2150
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transferred‚ not harmonically associated with the sampling frequency‚ then at this point‚ the reaction for this FFT behaves just like a sinc function i.e. commonly known as the sampling function‚ defined as a function used to rise the frequency in the signal processing and propagation‚ classified as Fourier transforms[4] . However‚ the other components such as integrated power and aliasing have different variations as the integrated power still gives you the correct values but aliasing can be reduced by using
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This objective is to get the best results for VoIP by embedding 2-bit quantizer to 3-bit quantizer‚ and the same for the higher modes. This permits the dropping of the least significant bit from the bit stream without any adverse effect on speech signals. Thirdly‚ why should one use UDP? Most often‚ UDP applications do not employ reliability mechanisms. Streaming media and voice over IP are examples of applications that often use UDP. In these particular applications‚ loss of packets is not usually
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