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### EE261Hw8_WenqiongGuo

Course: EE 216, Fall 2011
School: Stanford
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Stanford - EE - 216
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EE 261 The Fourier Transform and its ApplicationsFall 2011Problem Set Four Due Wednesday, October 261. (10 points) Solving the wave equationAn innite string is stretched along the x-axis and is given an initial displacement describedby a function f (
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Captulo 1Lectura 05: Implantacin de lazos decontrol a nivel industrial:Medicin devariables en Procesos Qumicos1.1.IntroduccinNingn proceso puede llevarse a cabo a ciegas. Es necesario siempre obtener alguna informacin de la manera como evoluciona el
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La vlvula de control acta como una resistencia variable en la lnea de proceso; medianteel cambio de su apertura se modifica la resistencia al flujo Cv y el flujo mismo f.1.1 Coeficiente de flujo, Cv de una vlvula de control y su dimensionadoEn 1944 Mas
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9/28/11 The most exciting branch of government!BureaucracyChapter 8People dont seem to like the bureaucracyasdfasf1 9/28/11 People dont seem to like the bureaucracyasdfBureaucracy OverviewThe bureaucracy is not talked about much in theC
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9/25/11 Current EventsThe straw polls just keep on coming.In Florida, a shocking upset for Herman Cain!Poor showing for Perry, Romney officially didnt participate.In Michigan, Romney cruises to a win of 51%.The PresidencyChapter 7Presidency O
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MSIT 3000Chapter 3 Surveys and SamplingThree Ways to Gather Data1. Conduct an experiment2. Take a sample, often using a survey3. Take a census.Typically, researchers dont have the abilityto question everyone, but they dont wanttheir conclusions to
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MSIT 3000Section 4.1: The Three Rules of Data AnalysisRule 1: Make a pictureRule 2: Make a pictureRule 3: Make a picturePictures reveal things that cant be seen in a table of numbers.show important features and patterns in the data.provide an exce
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MSIT 3000Chapter 5 Displaying and Describing Quantitative DataThe Distribution of a VariableTo describe a variable, include all of the following: Shape Center Spread or variationMSIT 3000Section 5.1 Displaying DistributionsSHAPE:To determine the
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Test 1 ReviewBusiness Statistics:A First CourseSlide 2- 1by Sharpe, De Veaux, VellemanCopyright 2011 Pearson Education,Inc.You are currently sitting in MSIT 3000.A. TrueB. FalseSlide 5- 2Copyright 2011 Pearson Education,Inc.1. Based on a samp
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Michigan - EECS - eecs551
50Lecture 12Example 4: Let S be a 2-dimensional space of real vectors. Consider the following inner productwith a parameter such that 0 1:x, y = [x1 x2 ]11y1y2= x1 y1 + x2 y1 + y2 x1 + x2 y2Question: Is it a valid inner product ?Answer: Conditi
Michigan - EECS - eecs551
58Lecture 13-15Subspaces: We have introduced the notion of angle, length and distance into the space ofsignals. The next concept we look at is related to the notion of a plane or line in the space ofsignals. Note that in 3-dimensions to specify a plan
UGA - MIST - 3000
MSIT 3000Chapter 10 Testing Hypotheses about ProportionsA study was done to see if bank executiveswere more inclined to promote males thanfemales. Forty-eight randomly chosen bankexecutives were given a resume of afictitious candidate and asked if t
Michigan - EECS - eecs551
67Lecture 16-18In many practical applications, we are asked to approximate a given signal using a linearcombination of a xed collection of elementary signals. Recall that while studying DT signals,in the rst part of the course, we looked at at least 3
UGA - MIST - 3000
MSIT 3000Chapter 11 Confidence Intervals and Hypothesis Tests for MeansSection 11.1 Sampling Distributions for MeansWhat other distributions have we talkedabout? How do we describe distributions?Previously, weve examined data andcalculated statistic
Michigan - EECS - eecs551
79Lecture 19-203. Least Squares Filtering: Consider the example of acoustic echo cancellation in teleconferencing applications. Input speech signal f [n] enters the system. It is convertedinto an acoustic signal which is radiated by a loudspeaker into
Michigan - EECS - eecs551
86Lecture 21Eigen Values and Eigen Vectors: To study linear systems we will develop thenotion of eigen functions. This notion was used in rst part of the course to introduceFourier transforms. Let us look at some examples of linear systems.1. Let S s
UGA - MIST - 3000
MSIT 3000Chapter 12 Comparing Two GroupsDo customers spend more using their creditcard if they are given an incentive such asdouble miles or double coupons towardflights, hotel stays, or store purchases?To answer questions such as this, credit card
Michigan - EECS - eecs551
92Lecture 22-23The concept of eigen values and eigen vectors is applicable to any Hilbert space and forany linear transformation. The topic that deals with this concept is called linear operatortheory.Procedure for nding eigen values and eigen vector
UGA - MIST - 3000
KEEP THREE DECIMAL PLACES ON ALL CALCULATIONS ON EVERY QUESTIONQUESTIONS 1-4: From a survey of 250 randomly selected coworkers, the company you workfor finds that 155 would like the company to provide on-site day care. A 95% confidenceinterval was calc
Michigan - EECS - eecs551
100Lecture 24-25Applications of eigen vectors and eigen values:1. Karhunen-Loeve Transform (KLT): In many image processing applications, onewould like to transmit images (512 x 512) over a noisy channel to a remote receiver.In such cases the informat
Michigan - EECS - eecs551
UGA - MIST - 3000
QUESTIONS 1-4: An online retailer was interested in the percentage of customers who useexpedited shipping during the month of December. A sample of randomly chosen orders duringDecember 2009 showed a 95% confidence interval for the proportion of orders
Michigan - EECS - eecs551
University of MichiganFall 2011EECS551: Practice Problems 2Instructor: Sandeep Pradhan1 State TRUE or FALSE by giving reasons. If you give no reason or a wrong reason, you may notget credit. The eigen values of matrix5425are 1 and 10. The eigen
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ReviewQuestionsReviewQuestionsTest2:MSIT30001.Amarketresearchgroupcomparedthepricesof1.AmarketresearchgroupcomparedthepricesofgroceriesatKrogerandPublix.Pricesof50itemswereobtainedfrombothKrogerandPublix(thesameitemsateachstore).Whichtestshouldbeu
Michigan - EECS - 551
IEEE TRANSACTIONS ON MEDICAL IMAGING, V OL 13. NO. 2 , JUNE 1994217Model-Based Estimation forDynamic Cardiac Studies Using ECTPing-Chun Chiao, W . L eslie Rogers, Neal H. Clinthorne, Jeffrey A. Fessler, and Alfred 0. HeroAbstract-In this paper, we de
Michigan - EECS - 551
IV. ESTIMATORObjective: ML estimatorWhere P is positive since the elements of P (compartmental parameters,concentrations, myocardial thicknesses, and endocardial radii) are physicallypositive, andwith assumption of Poisson measurement noise where k i
UGA - MIST - 3000
Chapter 6: Correlation and Linear RegressionHow can we determine if 2quantitative variables arerelated to each other? Ifthere is a linear association,how can that informationhelp understand anddescribe the data?Suppose we want to predict the asses