EE2 Signals and Linear Systems Pier Luigi Dragotti Electrical & Electronic Engineering Department Imperial College London URL: http://www.commsp.ee.ic.ac.uk/~pld/Teaching/ E-mail: p.dragotti@imperial.ac.uk PLD Autumn 2012 Thursday‚ 27 September 12 Signals and Linear Systems Lecture 1 Aims and Objectives “The concepts of signals and systems arise in a variety of fields and the techniques associated with these notions play a central role in many areas of science and technology
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Newton’s Laws‚ linear momentum‚ and kinetic energy. Principles In this experiment you will study a collision where a moving object strikes and sticks to an initially motionless object. When the colliding objects stick together the collision is said to be completely inelastic. The net momentum of the system should not change‚ but the net kinetic energy of the system will decrease. The amount of kinetic energy left after the collision can be predicted using conservation of momentum. Linear momentum
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3.2.3 The Stepwise Regression Analyses Table 4 and 5 showed the result of multiple regression analysis of critical thinking (CT) and speaking Skill (SS) achievement. The correlation among the Debate and context‚ issue‚ implication‚ and assumption was 0.923 or 92.3% and the influence of contribution of the whole aspects of critical thinking (CT) was 0.821 or 82.1%. Partially‚ the contribution of each aspect of critical thinking (CT) toward critical thinking (CT) achievement was as follows: context
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Linear Least Squares Suppose we are given a set of data points {(xi ‚ fi )}‚ i = 1‚ . . . ‚ n. These could be measurements from an experiment or obtained simply by evaluating a function at some points. You have seen that we can interpolate these points‚ i.e.‚ either find a polynomial of degree ≤ (n − 1) which passes through all n points or we can use a continuous piecewise interpolant of the data which is usually a better approach. How‚ it might be the case that we know that these data points should
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11th‚ 2012 Project 3 We are given a linear regression that gives us an equation on the relationship of Quantity on Total Cost. As stated in the project‚ the regression data is very good with a relatively high R2‚ significant F‚ and t-values but we can’t use this model to estimate plant size. When we perform a simple eye test on the residual plot for Q a trend seems to form from positive to negative and back to positive. When we also fit a linear trend line to the normal probability plot
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Regression Analysis of Army Jackboots Ochirmunkh Boldbaatar‚ Myriam Hirscher‚ Bastian Latz‚ and Manuel Padutsch ECON 510 Aun Hassan November 26‚ 2012 Introduction The German company we established the data from sells cloths and shoes. The customers are not private customers but mostly national divisions like the military or fire departments. The company has around 20 stores in Germany; however‚ the stores have different prices for the same products. The data package we received includes
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Professor Amit Seru Linear Technologies Case “I pledge my honor that I have not violated the Chicago Booth honor code for this assignment” Viral Patel 1. Linear’s historical payout policy has been to pay a quarterly dividend of $0.05/share and use any additional funds to repurchase shares to increase shareholder value. This kept their payout ratio to around 15% until about 2002 where this dividend payout moved the ratio to around 25% to 30%. Currently Linear is sitting on a large
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Regression As the human race ‘evolves’ and progresses it has created an environment unsuitable for the generations to come. This Darwinist environment promotes the ideals of a ‘dog-eat-dog’ world‚ in which one person’s ambitions are more important than another human being’s. People strive for the ideal life in which money is not an issue‚ so the matter of living comfortably is not a problem. To live comfortably is an idea of life without worry of matters such as starving‚ fiscal responsibility
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3 Introduction to Linear Programming The development of linear programming has been ranked among the most important scientific advances of the mid-20th century‚ and we must agree with this assessment. Its impact since just 1950 has been extraordinary. Today it is a standard tool that has saved many thousands or millions of dollars for most companies or businesses of even moderate size in the various industrialized countries of the world; and its use in other sectors of society has been spreading
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Logistic regression analysis revealed that physicians in psychiatry or emergency medicine departments received more violent threats and sexual harassment than physicians in other departments. (J Occupational Health 2015; 57: 540–547) The causes of ED violence is complex
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