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### Practice1

Course: ECE 332, Spring 2008
School: Wisconsin
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Wisconsin - ECE - 332
ECE 332 Homework #21) Draw the Nyquist and Bode plots for each of the following rational functions. 1 a) s3 +3s2 +2s s+1 b) s4 +5s3 +6s2 c) s2 +1 s -s d) s3 + 3s2 + 2s 2) Determine whether each of the following is BIBO stable. a) ss+1 2 -1 b) ss-1
Wisconsin - ECE - 332
ECE 332 Homework #31) Design a second-order transfer function Hd (s) to meet all of the following specifications. Choose n as small as possible. a) ess0 = 0 b) Mr 1.3 c) Mp 1.3 d) ess1 .8 s e) b 1.5 rad/s f) r .7 rad/s g) Tr 2.3 s h) Tp 3.5
Wisconsin - ECE - 317
Abstract In this lab, the characteristic and function of two sound sensor, electret microphone element and a speaker, will be introduced. First, student will be asked to measure the output the voltage of the circuit corresponding to the several diffe
Texas A&M - CPSC - 110
ORDINAL TYPESA Type whose values are specified by a list is called an Ordinal Type.Integer Char Boolean Given a value( e.g. `D' , 10 , False) in an ordinal type ,we can specify the one unique value which proceeds or follows the value.Real and
Tufts - EE - 12
Tufts - EE - 12
Tufts - EE - 12
Tufts - EE - 12
Tufts - EE - 12
Tufts - EE - 12
Tufts - EE - 12
MOSFET PRIMERSameer Sonkusale http:/nanolab.ece.tufts.eduMOSFETMetal Oxide Semiconductor Field Effect TransistorGate electrode is used to control the electric field in the channel region which in turn controls the flow of charges between sourc
Tufts - EE - 12
Tufts - EE - 12
Tufts - EE - 12
Tufts - EE - 12
Tufts - EE - 12
Tufts - EE - 12
Tufts - EE - 12
Tufts - EE - 12
Texas A&M - CPSC - 110
WELCOME TO CPSC 110STRUCTURED PROGRAMMING INPASCAL1LECTURE INFORMATIONhttp:/people.cs.tamu.edu/yjoo9317/cpsc206/2INTRODUCTION TO COMPUTER SCIENCECONCEPTS AND PROGRAMMING3Outline Part I: An overview of Computer Science. Part II: Compu
Wisconsin - EE - ECE 332
Discussion Notes - ECE 332 - 12/11/06 Algebraic Pole Placement DesignLet's say we have a plant G(s) in a unity feedback system, where we design the compensator Gc (s) to achieve some desired CLTF H(s). The most obvious way to accomplish this is to s
Texas A&M - CPSC - 110
CPSC 110 PASCAL PROGRAMMING Developed at Dartmouth (1970) by Wirth Designed as a language that can be utilized to develop programs in a structured manner. A high-level general purpose language1General Format of a Pascal ProgramProgram Heading
Texas A&M - CPSC - 110
Predefined FunctionsName Type of Argument Type of Result Exampleabs integer real real real integer real real or integer integer real integer integer integer real real abs (-2) abs (-2.4) round (2.6) trunc (2.6) sqr (2) sqr (1.100) sqrt (4)Value o
Texas A&M - CPSC - 110
Chapter 5 Modularity, Functions, and Data FlowLocal Variables: The SCOPE of a valuable is determined by where the variable is created. A Local variable is one that is declared within a procedure. It is known and can be referenced ONLY within that pr
Texas A&M - CPSC - 110
Multi way BranchingIf-Then Handles A 2-choice problem If Age &gt; 65 Then else Code-1 Code - 2 ;we either execute (1) Code-1 or (2) Code - 2101Problem: Assign the student the correct letter grade based on the following: 90 - 100 A 80 - 89 B 70 - 7
Texas A&M - CPSC - 110
Chapter 7Design And Implementation Of LoopsRepeat until : Repeat Body of Loop until Boolean Expression 1. Repeat Body Until Expression is True 2. No Compound statement used. 3. Always at least 1 pass through the loop.116Loop CategoriesConditi
Texas A&M - CPSC - 110
Chapter 1 Notes Computers- machines that perform very simple tasks according to specific instructions Program- a set of instructions for a computer to follow Software- a collection of programs Hardware- the physical machines that make up a computer C
Texas A&M - CPSC - 110
{ -Program Description: This program will use procedures to evaluate gross and gross pay of the worker by inputing the number of hours worked and calculating withholdings. pg.104 --} program WorkersPay; const payrate= 9.63; sstax= 0.06; fitax= 0.14;
Texas A&M - CPSC - 110
{ -Program Description: This program will allow the user to compute their electric bill. pg.351 #22. -} program Grades; var Scores: array[1.50] of integer; Students: array[1.50] of integer;{-PromptForInput: This procedure prompts the user to enter
Texas A&M - CPSC - 110
program Mechanics; vars hrs, quaterhrs, mechanic1charge, mechanic2charge : real;Procedure GetData(var hrs:real); begin writeln('Please enter the number of hours you expect the job to take, then press return:'); readln(hrs); end; Procedure CalcQuart
Texas A&M - CPSC - 110
program Sizes; vars height, weight, age, hatsize, sweatersize, pantsize : real;Procedure GetData(var height, weight, age: real); begin writeln('Please enter your height in inches, then press enter:'); readln(height); writeln('Please enter your weig
Texas A&M - CPSC - 110
program WorkersPay; const payrate= 9.63 sstax= .06 fitax= .14 sitax= .05 uniondues= 6 dependdues= 10 overtimerate= 1.5 vars hrs, grosspay, netpay, dependents, withholdings, socialdeduc, federaldeduc, statededuc, uniondeduc, dependdeduc := real;Proc
Wisconsin - EE - ECE 332
10-28 Bode plot for Gp(s)Bode Diagram 50 System: sys Frequency (rad/sec): 985 Magnitude (dB): -28.6Magnitude (dB) Phase (deg)0-50-100-150 -90-180 System: sys Frequency (rad/sec): 999 Phase (deg): -180-270-360 10110210 Frequenc
Texas A&M - CPSC - 110
{ -Program Description: This program will use procedures to evaluate gross and gross pay of the worker by inputing the number of hours worked and calculating withholdings. pg.104 --} program WorkersPay; const payrate= 9.63; sstax= 0.06; fitax= 0.14;
Texas A&M - CPSC - 110
{ -Program Description: This program will use procedures to compare the prices of two different mechanics. It will accept the number of hours it will take to complete the job and then calculate the price of the services. pg.142 -} program Mechanics(i
Texas A&M - CPSC - 110
{ -Program Description: This program will use procedures to evaluate the hat, sweater, and pant sizes using the user's input of their weight, height, and age. pg.142 --} program Sizes; var height, weight, age, hatsize, sweatersize, pantsize : real; {
Texas A&M - CPSC - 110
{ -Program Description: This program will use procedures to evaluate the area of a triangle. pg.104 -} program TriangleArea(input,output); var a, b, c, s, area : real; {one side of the triangle} {one side of the triangle} {one side of the triangle} {
Wisconsin - MICROBIO - 101
Wisconsin - EE - ECE 332
beforeAfter
Catawba Valley Community College - HUM - Spa-181
Lee L. Skinner2/28/08Northern Mexico FactsDonde Esta Norte Mxico? Mxico esta al norte Guatemala y El Salvador. Mexico es un pais de America Central. La capital de Mxico es Ciudad de Mxico Distrito Federal. Los colores de Mxico es verde y blanco
Texas A&M - STAT - 211
STATISTICS 211 HONORS 2007 PROF EMANUEL PARZEN KEY CONCEPTS ONE SAMPLE STATISTICAL INFERENCE 10/31 0.Population Parameters \mu, p Estimators from sample \mu\hat, \p\hat Denote standard error by S.E.; derive formulas from SONG OF SUMS for mean, varian
Texas A&M - STAT - 211
STAT 211 Prof Parzen CHAPTER 2 PROBABILITY, CONDITIONAL PROBABILITY, BAYES Probability theory enables us to measure uncertainity, chance, likelihood. Probability theory has applications to explain and predict observations in every aspect of life: sci
Texas A&M - STAT - 211
Statistics 211 Prof. Emanuel Parzen Chapter 5 Sampling Distributions, Central Limit Theorem, Normal Approximation to the Binomial This chapter will complete our set of tools of probability theory that we need to conduct statistical inference. defined
Texas A&M - STAT - 211
1 Stat 211 Prof Parzen CHAPTER 1 STATISTICAL DATA ANALYSIS Statistical methods seek to learn patterns from a data set by computing, comparing, and interpreting statistical summaries, including mean, median, quartiles, midquartile, inter-quartile rang
Texas A&M - STAT - 211
Stat 211 Prof Parzen CHAPTER 3 Binomial Probability, Random Variables, ExpectationA Binomial Probability problem considers independent trials whose outcome are 0 or 1 (also called failure or success) according as a specified event A does not or doe
Texas A&M - STAT - 211
Statistics 211 Prof. Emanuel Parzen Chapter 6 STATISTICAL INFERENCE, HYPOTHESIS TESTS, CONFIDENCE INTERVALS Statistical inference is the science of learning from data. Its strategy (long range plan) is to determine probability models which fit the ob
Wisconsin - EE - ECE 332
I and B part2I and C part2I and A Part4I and D part 4A and D part 6A (grounded) and C part 7D (grounded) and CPart 9 commonPart 10 P (grounded) and CPart 10 Q (grounded) and C
Texas A&M - STAT - 211
STATISTICS 211 HONORS Chapter 6A STATISTICAL INFERENCE CONFIDENCE INTERVALS HYPOTHESIS TESTSPROF EMANUEL PARZENSTATISTICAL INFERENCE seeks to learn from data values of parameters of the probability distribution obeyed by the random variable of wh
Texas A&M - STAT - 211
STATISTICS 211 PROF EMANUEL PARZEN Chapter 7 ONE SAMPLE, TWO SAMPLE STATISTICAL METHODS STATISTICAL INFERENCE PARAMETERS , pOur Data Modeling Strategy has VALIDATION action, phase, problem 3 whose goal is to find parameters of probability models t
Texas A&M - STAT - 211
STATISTICS 211 Prof EMANUEL PARZEN Chapter 7A OUTLINE TWO SAMPLE INFERENCE CASE \mu: Two samples of continuous variable Y Scientific nature of random variable Y being observed Distribution of variable Y: (1) Assume NORMAL or (2) assume finite populat
Texas A&M - STAT - 211
STATISTICS 211 PROF EMANUEL PARZEN CHAPTER 8 ANALYSIS OF VARIANCE, MULTIPLE SAMPLES Statistical methods for learning from multiple (more than 2) samples is called Analysis of Variance; they were pioneered by Sir Ronald Fisher in the 1920/s. We observ
Texas A&M - STAT - 211
STATISTICS 211 CHAPTER 8A REGRSSION SUMMARY This chapter is a summary of the formulas derive in the next chapter on Simple Linear RegressionREGRESSION FORMULAS SUMMARY Response variable Y continuous quantitative ; Y Random variable Explanatory vari
Texas A&M - STAT - 211
STATISTICS 211 PROF EMANUEL PARZEN CHAPTER 9 BIVARIATE DATA ANALYSIS, CORRELATION, REGRESSION LINE A very important application of statistical methods is study of relations between two continuous variables X and Y . given observed data ( X j , Y j )
Texas A&M - STAT - 211
Chapter 4 Stat 211 Prof Parzen STANDARD DISTRIBUTIONS FOR APPLIED STATISTICS In statistical practice there are a small number of distinguished distributions which researchers use as models for observed data. The continuous distributions that are fund
Texas A&M - MATH - 308
Day 8: In Day 8 we began Chapters 4 (second order linear) and 6 (linear higher than second order ). Since differential equations in both chapters are handled exactly the same way, both will be studied at the same time and homework from both chapters
Texas A&M - MATH - 308
Day 1: In the first class, we covered what differential equations are, what makes them linear or not linear, and why we care. Differential equations have equal signs. Differential equations also have &quot;fleas.&quot; (The prime, indicating a derivative.) The
Texas A&M - MATH - 222
Math 222 - 5001.Final ExamDec 13, 2006(25) Define the following: a. L is a linear transformation, L is first of all a function mapping a vector space V into a vector space W with the following additional property: if and are any two vectors
Texas A&M - MATH - 222
Math 222-5001.Solutions Exam 1October 10, 2006(15) Define the following: a. the span of the set of vectors 1 , 2 , , k , x x x The set of all linear combinations of these vectors is the span.b.the set of vectors 1 , 2 , , k is linearly inde
Texas A&M - MATH - 222
Math 222 - 200 1. (20) Define the following terms:Exam 1 SolutionsFebruary 25, 2005(a) linearly independent set of vectors A set of vectors {x1 , , xk } is linearly independent if whenever 1 x1 + + k xk = 0, then 1 = 2 = = k = 0. (b) s
Texas A&M - MATH - 222
Math 222-5001.Solutions Exam 2November 21, 2006(15) Define the following: a. coordinates of a vector, If V is a vector space, and S 1 , , n is a basis of V, then the u u coordinates of a vector V with respect to the basis S are the unique
Wisconsin - AIS - 100
Answer Key Exam 2 I. Multiple ChoiceVer A 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25Answer D B D C B D D D A C A B B D D B C A A A A A C B CII. Periodic Inventory (14 points)A. +2 points each (a) Using FIFO - the earlie