EC51-DIGITAL COMMUNICATION UNIT-1 DIGITAL COMMUNICATION SYSTEM 1. What are the advantages of digital transmission? The advantage of digital transmission over analog transmission is noise immunity. Digital pulses are less susceptible than analog signals to variations caused by noise. Digital signals are better suited to processing and multiplexing than analog signals. Digital transmission systems are more noise resistant than the analog transmission systems. Digital systems are better suited to evaluate
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Vibration- Rotation Spectroscopy of HCl and DCl Purpose: To determine the fundamental vibration frequency and bond length for H35Cl‚ H37Cl‚ D35Cl‚ and D37Cl and to compare the isotope effects to theoretically predicted values. Introduction Vibration spectroscopy is one of the most important tools for the accurate determination of molecular structure. Vibration spectroscopy also plays an important role in environmental chemistry. For example‚ the albedo of the earth’s atmosphere is controlled by the
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A Brief History of Computing - Mechanical Computing Devices © Copyright 1996-2005‚ Credit to: Stephen White Source: http://trillian.randomstuff.org.uk/~stephen//history/timeline-MECH.html#17 For reading purposes only by: Lornilo S. Alimpuangon Pictures: credit to Google Hardware History Overview • • • • • Modern computing can probably be traced back to the ’Harvard Mk I’ and Colossus (both of 1943). Colossus was an electronic computer built in Britain at the end 1943 and
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aktn-k = bnp(n) (2) • The left hand side is the same as (1)‚ but on the right hand side we have bnp(n)‚ where b is a constant and p(n) is a polynomial in n of degree d. Anaysis of Algorihms‚ Fall 2012 CEng 315 2 Recurrences (cont.) Example: Solve the following recurrence: tn - 2tn-1 = 3n. In this case b =3 and p(n) = 1‚ a polynomial of degree d=0. A little manipulation allows us to reduce this example to the form (1). To see this‚ we first multiply the recurrence by 3‚ obtaining
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MATH 122 SYLLABUS Faculty Information: Name: E-mail: Office: Office Hours: Section 08 B-1-122 MAK MW 6:00 – 7:15 PM Fall 2013 Corrina Campau campauc@gvsu.edu A-1-132 MAK Phone: (616)331-2052 Tuesday‚ Thursday 3:45 – 4:30 PM Monday‚ Wednesday 3:30 - 4:30 PM Monday‚ Wednesday 7:15 – 8:00 PM by appointment only Prerequisite: MTH 110 (a grade of C or better is recommended) or assignment through GVSU Math Placement. You may wish to take the MTH 122 proficiency test which would allow you to
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Edwin Purpose To enables the student to understand electric filter technology and to design and analyze passive and active filters. Learning outcomes At the end of the course‚ the student should be able to:1. Analyze ladder networks and Hurwitz polynomials 2. Explain the characteristics of filters 3. Use various approximation theories to design passive and active filters 4. Use network analysis techniques to analyze the designed filters Course Description Analogue Filters: Survey of electrical
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of purchase(A) for each customer 2. Calculated the likelihood of churn(B) after last transaction Both the model was based on a regression frame work where generalized additive model (GAM) was used to identify non linear patterns in the data and polynomial
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Have you ever ridden on a rollercoaster and felt your heart drop as you were going downhill? Have you asked yourself how getting these feelings were possible? The answer is math. You may ask what math has to do with rollercoasters. Math is the reason for everything and anything that has to do with rollercoasters. Without math‚ it would be impossible to even be able to create one. To build a rollercoaster you need to be able to use numbers when talking about the costs‚ taking measurements‚ calculating
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CHAPTER 3 Response surface methodology 3.1 Introduction Response surface methodology (RSM) is a collection of mathematical and statistical techniques for empirical model building. By careful design of experiments‚ the objective is to optimize a response (output variable) which is influenced by several independent variables (input variables). An experiment is a series of tests‚ called runs‚ in which changes are made in the input variables in order to identify the reasons for changes in
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Quality guarantees required l Limited time 2 Approach l l Constraint Based Reasoning – Distributed Constraint Optimization Problem (DCOP) Adopt algorithm – First-ever distributed‚ asynchronous‚ optimal algorithm for DCOP – Efficient‚ polynomial-space l Bounded error approximation – Principled solution-quality/time-to-solution tradeoffs 3 Constraint Representation Why constraints for multiagent systems? l Constraints are natural‚ general‚ simple – Many successful applications
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