Ch 9 Sequences, Series, and Probability

Size: px
Start display at page:

Download "Ch 9 Sequences, Series, and Probability"

Transcription

1 Ch 9 Sequeces, Series, ad Probability Have you ever bee to a casio ad played blackjack? It is the oly game i the casio that you ca wi based o the Law of large umbers. I the early 1990s a group of math ad sciece majors from the Massachusetts Istitute of Techology (MIT) devised a foolproof scheme to wi at blackjack. A professor at MIT developed a basic strategy outlied i the figure that is based o the probability of combiatios of particular cards beig dealt, give certai cards already showig. To play blackjack (also called 21), each perso is dealt two cards with the optio of takig additioal cards. The goal is to get a combiatio of cards that is worth 21 poits (or less) without goig over (called a bust). You have to avoid goig over 21 or stayig too far below 21. All face cards (jacks, quees, ad kigs) are worth 10 poits, ad a ace i blackjack is worth either 1 or 11 poits. The studets used the professor s strategy alog with a card-coutig techique to place high bets whe there were more high-value cards left i the deck. It is reported that i 1992 the team wo $4,000,000 from Las Vegas casios. The casios caught o ad the studets were all baed withi 2 years. The 2008 movie 21 was based o this evet. 1

2 IN THIS CHAPTER we will discuss coutig ad probability i additio to three other topics: sequeces ad mathematical iductio, ad the biomial theorem. SECTION 9.1 SEQUENCES AND SERIES 9.2 ARITHMETIC SEQUENCES AND SERIES 9.3 GEOMETRIC SEQUENCES AND SERIES 9.4 MATHEMATICAL INDUCTION 9.5 THE BINOMIAL THEOREM 9.6 COUNTING, PERMUTATIONS, ANDCOMBINATIONS 9.7 PROBABILITY CHAPTER OBJECTIVES Uderstad the differece betwee sequeces ad series. Fid the geeral, th, term of a sequece or series. Uderstad the differece betwee fiite ad ifiite series. Evaluate a fiite series. Determie if a ifiite series coverges or diverges. Prove a mathematical statemet usig iductio. Use the biomial theorem to expad a biomial raised to a positive iteger power. Uderstad the differece betwee permutatios ad combiatios. Calculate the probability of a evet. Page 705 2

3 Page 706 SECTION 9.1 SEQUENCES AND SERIES SKILLS OBJECTIVES Fid terms of a sequece give the geeral term. Look for a patter i a sequece ad fid the geeral term Apply factorial otatio. Apply recursio formulas. Use summatio (sigma) otatio to represet a series. Evaluate a series. CONCEPTUAL OBJECTIVES Uderstad the differece betwee a sequece ad a series. Uderstad the differece betwee a fiite series ad a ifiite series. Sequeces The word sequece meas a order i which oe thig follows aother i successio I mathematics, it meas the same thig. For example, if we write x, 2 x, 3 x, 4 x, 5 x,?, what would the ext term i the sequece be, the oe where the questio mark ow stads? The aswer is 6 6x. DEFINITION Sequece A sequece is a fuctio whose domai is a set of positive itegers. The fuctio values, or terms of the sequece are writte as a1, a2 a3 a,,,, Rather tha usig fuctio otatio, sequeces are usually writte with subscript (or idex) otatio, a subscript. A fiite sequece has the domai { 1, 2, 3,..., } for some positive iteger. A ifiite sequece has the domai of all positive itegers { 1, 2, 3,...}. There are times whe it is coveiet to start the idexig at 0 istead of 1: 3

4 ,,,,, a0 a1, a2 a3 a Sometimes a patter i the sequece ca be obtaied ad the sequece ca be writte usig a geeral term. I the previous example, ad coefficiet. We ca write this sequece as called the geeral term x, 2 x, 3 x, 4 x, 5 x,6x,, each term has the same expoet a = x, = , 6 where a is EXAMPLE 1 Fidig the Sequece, Give the Geeral Term Fid the first four ( = 1, 2, 3, 4) terms of the sequeces, give the geeral term. Page 706 Page 707 4

5 Fid the first four terms of the sequece a = ( ) 1 2 EXAMPLE 2 Fidig the Geeral Term, Give Several Terms of the Sequece Fid the geeral term of the sequece, give the first five terms. 5

6 6

7 Fid the geeral term of the sequece, give the first five terms. Parts (b) i both Example 1 ad Example 2 are called alteratig sequeces, because the terms alterate sigs (positive ad egative). If the odd terms, a1, a3, a 5,..., are egative ad the eve terms, a2, a4, a 6,..., are positive, we iclude ( 1) i the geeral term. If the opposite is true, ad the odd terms are positive ad the eve terms are egative, we iclude ( 1) + 1 i the geeral term. Factorial Notatio May importat sequeces that arise i mathematics ivolve terms that are defied with products of cosecutive positive itegers. The products are expressed i factorial otatio. DEFINITION Factorial If is a positive iteger, the! (stated as factorial ) is the product of all positive itegers from dow to 1. ( )( )! = ad 0! = 1 ad 1! = 1 7

8 The values of! for the first six oegative itegers are 0! = 1 1! = 1 2! = 2 1 = 2 3! = 3 2 l = 6 4! = = 24 5! = = 120 Notice that 4! = =4 3!. I geeral, we ca apply the formula = ( ) Ofte the brackets are ot used, ad the otatio ( )! 1!.! = 1! implies calculatig the factorial ( - 1)! ad the multiplyig that quatity by. For example, to fid 6!, we employ the relatioship! = ( - 1)! ad set = 6: 6! = 6 5! = = 720 8

9 9

10 EXAMPLE 3 Fidig the Terms of a Sequece Ivolvig Factorials Fid the first four terms of the sequece, give the geeral term a = x! EXAMPLE 4 Evaluatig Expressios with Factorials Evaluate each factorial expressio. 10

11 11

12 12

13 COMMON MISTAKE YOUR TURN Evaluate the factorial expressios. 13

14 Recursio Formulas Aother way to defie a sequece is recursively, or usig a recursio formula. The first few terms are listed, ad the recursio formula determies the remaiig terms based o previous terms. For example, the famous Fiboacci sequece is 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89,. Each term i the Fiboacci sequece is foud by addig the previous two terms. We ca defie the Fiboacci sequece usig a geeral term: a = 1, a = 1, ad a = a + a The Fiboacci sequece is foud i places we least expect them (for example, pieapples, broccoli, ad flowers). The umber of petals i a flower is a Fiboacci umber. For example, a wild rose has 5 petals, lilies ad irises have 3 petals, ad daisies have 34, 55, or eve 89 petals. The umber of spirals i art Italia broccoli is a Fiboacci umber (13). 14

15 EXAMPLE 5 Usig a Recursio Formula to Fid a Sequece YOUR T U RN Fid the first four terms of the sequece: Sums ad Series Whe we add the terms i a sequece, the result is a series. DEFINITION Series Give the ifiite sequece a1, a2, a3,, a, sequece is called a ifiite series ad is deoted by a + a + a + + a the sum of all of the terms i the ifiite ad the sum of oly the first terms is called a fiite series, or th partial sum, ad is deoted by S = a + a + a + + a

16 The capital Greek letter Σ (sigma) correspods to the capital S i our alphabet. Therefore, we use Σ as a shorthad way to represet a sum (series). For example, the sum of the first five terms of the sequece 1, 4, 9, 16, 25,., 2,.. ca be represeted usig sigma (or summatio) otatio: This is read the sum as goes from 1 to 5 of 2. The letter is called the idex of summatio, ad ofte other letters are used istead of. It is importat to ote that the sum1 ca start at other umbers besides 1. If we wated the sum of all of the terms i the sequece, we would represet that ifiite series usig summatio otatio as 16

17 EXAMPLE 6 Writig a Series Usig Sigma Notatio Write the followig series usig sigma otatio. 17

18 YOUR TURN Write the followig series usig sigma otatio. Now that we are comfortable with sigma (summatio) otatio, let s tur our attetio to evaluatig a series (calculatig the sum). You ca always evaluate a fiite series. However, you caot always evaluate a ifiite series. 18

19 19

20 EXAMPLE 7 Evaluatig a Fiite Series Study Tip The sum of a fiite series always - exists. The sum of a ifiite series may or may ot exist. Ifiite series may or may ot have a fiite sum. For example, if we keep addig , the there is o sigle real umber that the series sums to because the sum cotiues to grow without boud. However, if we add ± this sum is = 0.9, which is a ratioal umber, ad it ca be prove that 0.9 = 1. 20

21 EXAMPLE 8 Evaluatig a Ifiite Series, If Possible Evaluate the followig ifiite series, if possible. 21

22 Solutio (b): Expad the series. = This sum is ifiite sice it cotiues to grow without ay boud. I part (a) we say that the series coverges to ad i part (b) the say that the series diverges. YOUR TURN Evaluate the followig ifiite series, if possible. 22

23 Applicatios The aual sales at Home Depot from 2000 to 2002 ca be approximated by the model 2 a = , where a, is the yearly sales i billios of dollars = 0,1, 2. What does the fiite series a = 0 tell us? It tells us the average yearly sales over 3 yes 23

24 24

25 I Exercises 1-12, write the first four terms of the sequece. Assume starts at a = 2. a = 2 3. a = a = x 5. a = ( + 1) 25

26 6. a = ( + 1) 7. a = 2! 8. a =! 1! ( + ) ( ) a = x + 26

27 + ( ) a = a = ( 1) ( + 1)( + 2) 12. a = ( 1) ( + 1)

28 I Exercises 13-20, fid the idicated term of the sequece a = a9 =? 2 ( ) ( + ) 1! 15. a = a19 =? 2! 28

29 l 20. a = e a49 =? 29

30 I Exercises , write a expressio for the th term of the give sequece. 30

31 31

32 I Exercises 29-40, simplify the ratio of factorials. Solutios:

33 33

34 I Exercises 41-50, write the first four terms of the sequece defied by the recursio formula. Assume the sequece begis at 1. 34

35 35

36 I Exercises 51-64, evaluate the fiite series. 36

37 37

38 38

39 I Exercises 65-68, evaluate the ifiite series, if possible. I Exercises 69-76, apply sigma otatio to write the sum. 39

40 40

41 41

42 77. Moey. Upo graduatio Jessica receives a commissio from the U.S. Navy to become a officer ad a $20,000 sigig bous for selectig aviatio. She puts the etire bous i a accout that ears 6% iterest compouded mothly. The balace i the accout after moths is Her commitmet to the Navy is 6 years. Calculate A 72. What does A 72 represet? 78. Moey. Dyla sells his car i his freshma year ad puts $7,000 i a accout that ears 5% iterest compouded quarterly. The balace i the accout after quarters is Calculate A 12. What does A 12, represet? 79. Salary. A attorey is tryig to calculate the costs associated with goig ito private practice. If she hires a paralegal to assist her, she will have to pay the paralegal $20.00 per hour. To be competitive with most firms, she will have to give her paralegal a $2 per hour raise per year. Fid a geeral term of a sequece a, which represets the hourly salary of a paralegal with years of experiece. What will be the paralegal s salary with 20 years of experiece? 42

43 80. TL Salaries. A player i the NFL typically has a career that lasts 3 years. The practice squad makes the league miimum of $275,000 (2004) i the first year, with a $75,000 raise per year. Write the geeral term of a sequece a,, that represets the salary of a NFL player makig the league miimum durig his etire career. Assumig = 1 correspods to the first year, what does 3 a represet? = 1 43

Logarithms APPENDIX IV. 265 Appendix

Logarithms APPENDIX IV. 265 Appendix APPENDIX IV Logarithms Sometimes, a umerical expressio may ivolve multiplicatio, divisio or ratioal powers of large umbers. For such calculatios, logarithms are very useful. They help us i makig difficult

More information

Roberto s Notes on Infinite Series Chapter 1: Series Section 2. Infinite series

Roberto s Notes on Infinite Series Chapter 1: Series Section 2. Infinite series Roberto s Notes o Ifiite Series Chapter : Series Sectio Ifiite series What you eed to ow already: What sequeces are. Basic termiology ad otatio for sequeces. What you ca lear here: What a ifiite series

More information

Combinatorics. Chapter Permutations. Reading questions. Counting Problems. Counting Technique: The Product Rule

Combinatorics. Chapter Permutations. Reading questions. Counting Problems. Counting Technique: The Product Rule Chapter 3 Combiatorics 3.1 Permutatios Readig questios 1. Defie what a permutatio is i your ow words. 2. What is a fixed poit i a permutatio? 3. What do we assume about mutual disjoitedess whe creatig

More information

}, how many different strings of length n 1 exist? }, how many different strings of length n 2 exist that contain at least one a 1

}, how many different strings of length n 1 exist? }, how many different strings of length n 2 exist that contain at least one a 1 1. [5] Give sets A ad B, each of cardiality 1, how may fuctios map A i a oe-tooe fashio oto B? 2. [5] a. Give the set of r symbols { a 1, a 2,..., a r }, how may differet strigs of legth 1 exist? [5]b.

More information

x y z HD(x, y) + HD(y, z) HD(x, z)

x y z HD(x, y) + HD(y, z) HD(x, z) Massachusetts Istitute of Techology Departmet of Electrical Egieerig ad Computer Sciece 6.02 Solutios to Chapter 5 Updated: February 16, 2012 Please sed iformatio about errors or omissios to hari; questios

More information

CS3203 #5. 6/9/04 Janak J Parekh

CS3203 #5. 6/9/04 Janak J Parekh CS3203 #5 6/9/04 Jaak J Parekh Admiistrivia Exam o Moday All slides should be up We ll try ad have solutios for HWs #1 ad #2 out by Friday I kow the HW is due o the same day; ot much I ca do, uless you

More information

PERMUTATIONS AND COMBINATIONS

PERMUTATIONS AND COMBINATIONS www.sakshieducatio.com PERMUTATIONS AND COMBINATIONS OBJECTIVE PROBLEMS. There are parcels ad 5 post-offices. I how may differet ways the registratio of parcel ca be made 5 (a) 0 (b) 5 (c) 5 (d) 5. I how

More information

H2 Mathematics Pure Mathematics Section A Comprehensive Checklist of Concepts and Skills by Mr Wee Wen Shih. Visit: wenshih.wordpress.

H2 Mathematics Pure Mathematics Section A Comprehensive Checklist of Concepts and Skills by Mr Wee Wen Shih. Visit: wenshih.wordpress. H2 Mathematics Pure Mathematics Sectio A Comprehesive Checklist of Cocepts ad Skills by Mr Wee We Shih Visit: weshih.wordpress.com Updated: Ja 2010 Syllabus topic 1: Fuctios ad graphs 1.1 Checklist o Fuctios

More information

PERMUTATION AND COMBINATION

PERMUTATION AND COMBINATION MPC 1 PERMUTATION AND COMBINATION Syllabus : Fudametal priciples of coutig; Permutatio as a arragemet ad combiatio as selectio, Meaig of P(, r) ad C(, r). Simple applicatios. Permutatios are arragemets

More information

PERMUTATIONS AND COMBINATIONS

PERMUTATIONS AND COMBINATIONS Chapter 7 PERMUTATIONS AND COMBINATIONS Every body of discovery is mathematical i form because there is o other guidace we ca have DARWIN 7.1 Itroductio Suppose you have a suitcase with a umber lock. The

More information

1. How many possible ways are there to form five-letter words using only the letters A H? How many such words consist of five distinct letters?

1. How many possible ways are there to form five-letter words using only the letters A H? How many such words consist of five distinct letters? COMBINATORICS EXERCISES Stepha Wager 1. How may possible ways are there to form five-letter words usig oly the letters A H? How may such words cosist of five distict letters? 2. How may differet umber

More information

Grade 6 Math Review Unit 3(Chapter 1) Answer Key

Grade 6 Math Review Unit 3(Chapter 1) Answer Key Grade 6 Math Review Uit (Chapter 1) Aswer Key 1. A) A pottery makig class charges a registratio fee of $25.00. For each item of pottery you make you pay a additioal $5.00. Write a expressio to represet

More information

THE LUCAS TRIANGLE RECOUNTED. Arthur T. Benjamin Dept. of Mathematics, Harvey Mudd College, Claremont, CA Introduction

THE LUCAS TRIANGLE RECOUNTED. Arthur T. Benjamin Dept. of Mathematics, Harvey Mudd College, Claremont, CA Introduction THE LUCAS TRIANLE RECOUNTED Arthur T Bejami Dept of Mathematics, Harvey Mudd College, Claremot, CA 91711 bejami@hmcedu 1 Itroductio I 2], Neville Robbis explores may properties of the Lucas triagle, a

More information

8. Combinatorial Structures

8. Combinatorial Structures Virtual Laboratories > 0. Foudatios > 1 2 3 4 5 6 7 8 9 8. Combiatorial Structures The purpose of this sectio is to study several combiatorial structures that are of basic importace i probability. Permutatios

More information

7. Counting Measure. Definitions and Basic Properties

7. Counting Measure. Definitions and Basic Properties Virtual Laboratories > 0. Foudatios > 1 2 3 4 5 6 7 8 9 7. Coutig Measure Defiitios ad Basic Properties Suppose that S is a fiite set. If A S the the cardiality of A is the umber of elemets i A, ad is

More information

AMC AMS AMR ACS ACR ASR MSR MCR MCS CRS

AMC AMS AMR ACS ACR ASR MSR MCR MCS CRS Sectio 6.5: Combiatios Example Recall our five frieds, Ala, Cassie, Maggie, Seth ad Roger from the example at the begiig of the previous sectio. The have wo tickets for a cocert i Chicago ad everybody

More information

APPLICATION NOTE UNDERSTANDING EFFECTIVE BITS

APPLICATION NOTE UNDERSTANDING EFFECTIVE BITS APPLICATION NOTE AN95091 INTRODUCTION UNDERSTANDING EFFECTIVE BITS Toy Girard, Sigatec, Desig ad Applicatios Egieer Oe criteria ofte used to evaluate a Aalog to Digital Coverter (ADC) or data acquisitio

More information

Permutation Enumeration

Permutation Enumeration RMT 2012 Power Roud Rubric February 18, 2012 Permutatio Eumeratio 1 (a List all permutatios of {1, 2, 3} (b Give a expressio for the umber of permutatios of {1, 2, 3,, } i terms of Compute the umber for

More information

AMC AMS AMR ACS ACR ASR MSR MCR MCS CRS

AMC AMS AMR ACS ACR ASR MSR MCR MCS CRS Sectio 6.5: Combiatios Example Recall our five frieds, Ala, Cassie, Maggie, Seth ad Roger from the example at the begiig of the previous sectio. The have wo tickets for a cocert i Chicago ad everybody

More information

Extra Practice 1. Name Date. Lesson 1.1: Patterns in Division

Extra Practice 1. Name Date. Lesson 1.1: Patterns in Division Master 1.22 Extra Practice 1 Lesso 1.1: Patters i Divisio 1. Which umbers are divisible by 4? By 5? How do you kow? a) 90 b) 134 c) 395 d) 1724 e) 30 f) 560 g) 3015 h) 74 i) 748 2. Write a 5-digit umber

More information

arxiv: v2 [math.co] 15 Oct 2018

arxiv: v2 [math.co] 15 Oct 2018 THE 21 CARD TRICK AND IT GENERALIZATION DIBYAJYOTI DEB arxiv:1809.04072v2 [math.co] 15 Oct 2018 Abstract. The 21 card trick is well kow. It was recetly show i a episode of the popular YouTube chael Numberphile.

More information

Counting on r-fibonacci Numbers

Counting on r-fibonacci Numbers Claremot Colleges Scholarship @ Claremot All HMC Faculty Publicatios ad Research HMC Faculty Scholarship 5-1-2015 Coutig o r-fiboacci Numbers Arthur Bejami Harvey Mudd College Curtis Heberle Harvey Mudd

More information

Arithmetic Sequences and Series Sequences and Series Preliminary Maths

Arithmetic Sequences and Series Sequences and Series Preliminary Maths Arithmetic Sequeces ad Series Arithmetic Sequeces ad Series Sequeces ad Series Prelimiary Maths www.primeeducatio.com.au Arithmetic Sequeces ad Series Sequeces ad Series 1 Questio 1 The first 5 terms of

More information

Name Class. Date Section. Test Form A Chapter Chapter 9 Infinite Series. 1 n 1 2 n 3n 1, n 1, 2, 3, Find the fourth term of the sequence

Name Class. Date Section. Test Form A Chapter Chapter 9 Infinite Series. 1 n 1 2 n 3n 1, n 1, 2, 3, Find the fourth term of the sequence 8 Chapter 9 Ifiite Series Test Form A Chapter 9 Name Class Date Sectio. Fid the fourth term of the sequece,,,,.... 6 (a) (b) 6 (c) 8 6. Determie if the followig sequece coverges or diverges: If the sequece

More information

Chapter (6) Discrete Probability Distributions Examples

Chapter (6) Discrete Probability Distributions Examples hapter () Discrete robability Distributios Eamples Eample () Two balaced dice are rolled. Let X be the sum of the two dice. Obtai the probability distributio of X. Solutio Whe the two balaced dice are

More information

The Institute of Chartered Accountants of Sri Lanka

The Institute of Chartered Accountants of Sri Lanka The Istitute of Chartered Accoutats of Sri Laka Postgraduate Diploma i Busiess ad Fiace Quatitative Techiques for Busiess Hadout 02:Presetatio ad Aalysis of data Presetatio of Data The Stem ad Leaf Display

More information

A Math Learning Center publication adapted and arranged by. EUGENE MAIER and LARRY LINNEN

A Math Learning Center publication adapted and arranged by. EUGENE MAIER and LARRY LINNEN A Math Learig Ceter publicatio adapted ad arraged by EUGENE MAIER ad LARRY LINNEN ALGEBRA THROUGH VISUAL PATTERNS, VOLUME 1 A Math Learig Ceter Resource Copyright 2005, 2004 by The Math Learig Ceter, PO

More information

COLLEGE ALGEBRA LECTURES Copyrights and Author: Kevin Pinegar

COLLEGE ALGEBRA LECTURES Copyrights and Author: Kevin Pinegar OLLEGE ALGEBRA LETURES opyrights ad Author: Kevi iegar 8.3 Advaced outig Techiques: ermutatios Ad ombiatios Factorial Notatio Before we ca discuss permutatio ad combiatio formulas we must itroduce factorial

More information

COMBINATORICS 2. Recall, in the previous lesson, we looked at Taxicabs machines, which always took the shortest path home

COMBINATORICS 2. Recall, in the previous lesson, we looked at Taxicabs machines, which always took the shortest path home COMBINATORICS BEGINNER CIRCLE 1/0/013 1. ADVANCE TAXICABS Recall, i the previous lesso, we looked at Taxicabs machies, which always took the shortest path home taxipath We couted the umber of ways that

More information

We often find the probability of an event by counting the number of elements in a simple sample space.

We often find the probability of an event by counting the number of elements in a simple sample space. outig Methods We ofte fid the probability of a evet by coutig the umber of elemets i a simple sample space. Basic methods of coutig are: Permutatios ombiatios Permutatio A arragemet of objects i a defiite

More information

Summary of Random Variable Concepts April 19, 2000

Summary of Random Variable Concepts April 19, 2000 Summary of Radom Variable Cocepts April 9, 2000 his is a list of importat cocepts we have covered, rather tha a review that derives or explais them. he first ad primary viewpoit: A radom process is a idexed

More information

Discrete Mathematics and Probability Theory Spring 2014 Anant Sahai Note 12

Discrete Mathematics and Probability Theory Spring 2014 Anant Sahai Note 12 EECS 70 Discrete Mathematics ad Probability Theory Sprig 204 Aat Sahai Note 2 Probability Examples Based o Coutig We will ow look at examples of radom experimets ad their correspodig sample spaces, alog

More information

5 Quick Steps to Social Media Marketing

5 Quick Steps to Social Media Marketing 5 Quick Steps to Social Media Marketig Here's a simple guide to creatig goals, choosig what to post, ad trackig progress with cofidece. May of us dive ito social media marketig with high hopes to watch

More information

Math 7 Flipped Mastery Self Tester Worksheet Name: Class:. Chapter 1 (Unit 1) Patterns and Relationships - Accommodated 1.1 Patterns In Division /36

Math 7 Flipped Mastery Self Tester Worksheet Name: Class:. Chapter 1 (Unit 1) Patterns and Relationships - Accommodated 1.1 Patterns In Division /36 Chapter 1 (Uit 1) Patters ad Relatioships - Accommodated 1.1 Patters I Divisio /36 Divisibility Rule Cheats; A whole umber is divisible by 2 if it is a eve umber A whole umber is divisible by 4 if the

More information

Procedia - Social and Behavioral Sciences 128 ( 2014 ) EPC-TKS 2013

Procedia - Social and Behavioral Sciences 128 ( 2014 ) EPC-TKS 2013 Available olie at www.sciecedirect.com ScieceDirect Procedia - Social ad Behavioral Scieces 18 ( 014 ) 399 405 EPC-TKS 013 Iductive derivatio of formulae by a computer Sava Grozdev a *, Veseli Nekov b

More information

lecture notes September 2, Sequential Choice

lecture notes September 2, Sequential Choice 18.310 lecture otes September 2, 2013 Sequetial Choice Lecturer: Michel Goemas 1 A game Cosider the followig game. I have 100 blak cards. I write dow 100 differet umbers o the cards; I ca choose ay umbers

More information

On Parity based Divide and Conquer Recursive Functions

On Parity based Divide and Conquer Recursive Functions O Parity based Divide ad Coquer Recursive Fuctios Sug-Hyu Cha Abstract The parity based divide ad coquer recursio trees are itroduced where the sizes of the tree do ot grow mootoically as grows. These

More information

2. There are n letter and n addressed envelopes. The probability that all the letters are not kept in the right envelope, is. (c)

2. There are n letter and n addressed envelopes. The probability that all the letters are not kept in the right envelope, is. (c) PAGE # CHAPTER EXERCISE I. A sigle letter is selected at radom from the word PROBABILITY. The probability that the selected letter is a vowel is / / / 0. There are letter ad addressed evelopes. The probability

More information

AS Exercise A: The multiplication principle. Probability using permutations and combinations. Multiplication principle. Example.

AS Exercise A: The multiplication principle. Probability using permutations and combinations. Multiplication principle. Example. Probability usig permutatios ad combiatios Multiplicatio priciple If A ca be doe i ways, ad B ca be doe i m ways, the A followed by B ca be doe i m ways. 1. A die ad a coi are throw together. How may results

More information

You Think You ve Got Problems? Marc Brodie Associate Professor of Mathematics, WJU

You Think You ve Got Problems? Marc Brodie Associate Professor of Mathematics, WJU You Thik You ve Got Problems? Marc Brodie Associate Professor of Mathematics, WJU Itroductio. My life, like that of ay other s, has its share of problems. I cosider myself fortuate, however, to have more

More information

13 Legislative Bargaining

13 Legislative Bargaining 1 Legislative Bargaiig Oe of the most popular legislative models is a model due to Baro & Ferejoh (1989). The model has bee used i applicatios where the role of committees have bee studies, how the legislative

More information

X-Bar and S-Squared Charts

X-Bar and S-Squared Charts STATGRAPHICS Rev. 7/4/009 X-Bar ad S-Squared Charts Summary The X-Bar ad S-Squared Charts procedure creates cotrol charts for a sigle umeric variable where the data have bee collected i subgroups. It creates

More information

CS 201: Adversary arguments. This handout presents two lower bounds for selection problems using adversary arguments ëknu73,

CS 201: Adversary arguments. This handout presents two lower bounds for selection problems using adversary arguments ëknu73, CS 01 Schlag Jauary 6, 1999 Witer `99 CS 01: Adversary argumets This hadout presets two lower bouds for selectio problems usig adversary argumets ëku73, HS78, FG76ë. I these proofs a imagiary adversary

More information

Join a Professional Association

Join a Professional Association Joi a Professioal Associatio 1. The secret job resource: professioal orgaizatios. You may ot kow this, but the career field you re i, or plaig to work i i the future, probably has at least oe professioal

More information

Data Mining the Online Encyclopedia of Integer Sequences for New Identities Hieu Nguyen

Data Mining the Online Encyclopedia of Integer Sequences for New Identities Hieu Nguyen Slide 1 of 18 Data Miig the Olie Ecyclopedia of Iteger Sequeces for New Idetities Hieu Nguye Rowa Uiversity MAA-NJ Sectio Sprig Meetig March 31, 2012 2 MAA-NJ Sprig Meetig Data Miig OEIS.b ü Ackowledgemets

More information

Final exam PS 30 December 2009

Final exam PS 30 December 2009 Fial exam PS 30 December 2009 Name: UID: TA ad sectio umber: This is a closed book exam. The oly thig you ca take ito this exam is yourself ad writig istrumets. Everythig you write should be your ow work.

More information

AP Calculus BC. Sample Student Responses and Scoring Commentary. Inside: Free Response Question 6. Scoring Guideline.

AP Calculus BC. Sample Student Responses and Scoring Commentary. Inside: Free Response Question 6. Scoring Guideline. 208 AP Calculus BC Sample Studet Resposes ad Scorig Commetary Iside: Free Respose Questio 6 RR Scorig Guidelie RR Studet Samples RR Scorig Commetary College Board, Advaced Placemet Program, AP, AP Cetral,

More information

AC : USING ELLIPTIC INTEGRALS AND FUNCTIONS TO STUDY LARGE-AMPLITUDE OSCILLATIONS OF A PENDULUM

AC : USING ELLIPTIC INTEGRALS AND FUNCTIONS TO STUDY LARGE-AMPLITUDE OSCILLATIONS OF A PENDULUM AC 007-7: USING ELLIPTIC INTEGRALS AND FUNCTIONS TO STUDY LARGE-AMPLITUDE OSCILLATIONS OF A PENDULUM Josue Njock-Libii, Idiaa Uiversity-Purdue Uiversity-Fort Waye Josué Njock Libii is Associate Professor

More information

General Model :Algorithms in the Real World. Applications. Block Codes

General Model :Algorithms in the Real World. Applications. Block Codes Geeral Model 5-853:Algorithms i the Real World Error Correctig Codes I Overview Hammig Codes Liear Codes 5-853 Page message (m) coder codeword (c) oisy chael decoder codeword (c ) message or error Errors

More information

Application of Improved Genetic Algorithm to Two-side Assembly Line Balancing

Application of Improved Genetic Algorithm to Two-side Assembly Line Balancing 206 3 rd Iteratioal Coferece o Mechaical, Idustrial, ad Maufacturig Egieerig (MIME 206) ISBN: 978--60595-33-7 Applicatio of Improved Geetic Algorithm to Two-side Assembly Lie Balacig Ximi Zhag, Qia Wag,

More information

Lecture 4: Frequency Reuse Concepts

Lecture 4: Frequency Reuse Concepts EE 499: Wireless & Mobile Commuicatios (8) Lecture 4: Frequecy euse Cocepts Distace betwee Co-Chael Cell Ceters Kowig the relatio betwee,, ad, we ca easily fid distace betwee the ceter poits of two co

More information

Copywriting. for your. legacy. giving. website

Copywriting. for your. legacy. giving. website Copywritig Basics for your legacy givig website www.imarketsmart.com www.imarketsmart.com 301.289.3670 1 You ve decided to tap ito the greatest trasfer of wealth that the world has ever see by buildig

More information

A generalization of Eulerian numbers via rook placements

A generalization of Eulerian numbers via rook placements A geeralizatio of Euleria umbers via rook placemets Esther Baaia Steve Butler Christopher Cox Jeffrey Davis Jacob Ladgraf Scarlitte Poce Abstract We cosider a geeralizatio of Euleria umbers which cout

More information

Shuffling Cards. D.J.W. Telkamp. Utrecht University Mathematics Bachelor s Thesis. Supervised by Dr. K. Dajani

Shuffling Cards. D.J.W. Telkamp. Utrecht University Mathematics Bachelor s Thesis. Supervised by Dr. K. Dajani Shufflig Cards Utrecht Uiversity Mathematics Bachelor s Thesis D.J.W. Telkamp Supervised by Dr. K. Dajai Jue 3, 207 Cotets Itroductio 2 2 Prerequisites 2 2. Problems with the variatio distace................

More information

On the Number of Permutations on n Objects with. greatest cycle length

On the Number of Permutations on n Objects with. greatest cycle length Ž. ADVANCES IN APPLIED MATHEMATICS 0, 9807 998 ARTICLE NO. AM970567 O the Number of Permutatios o Obects with Greatest Cycle Legth k Solomo W. Golomb ad Peter Gaal Commuicatio Scieces Istitute, Uiersity

More information

VIII. Shell-Voicings

VIII. Shell-Voicings VIII. Shell-Voicigs A. The Cocept The 5th (ad ofte the root as well) ca be omitted from most 7th-chords. Ratioale: Most chords have perfect 5ths. The P5th is also preset as the rd partial i the overtoe

More information

x 1 + x x n n = x 1 x 2 + x x n n = x 2 x 3 + x x n n = x 3 x 5 + x x n = x n

x 1 + x x n n = x 1 x 2 + x x n n = x 2 x 3 + x x n n = x 3 x 5 + x x n = x n Sectio 6 7A Samplig Distributio of the Sample Meas To Create a Samplig Distributio of the Sample Meas take every possible sample of size from the distributio of x values ad the fid the mea of each sample

More information

Unit 5: Estimating with Confidence

Unit 5: Estimating with Confidence Uit 5: Estimatig with Cofidece Sectio 8.2 The Practice of Statistics, 4 th editio For AP* STARNES, YATES, MOORE Uit 5 Estimatig with Cofidece 8.1 8.2 8.3 Cofidece Itervals: The Basics Estimatig a Populatio

More information

Combinatorics. ChaPTer a The addition and multiplication principles introduction. The addition principle

Combinatorics. ChaPTer a The addition and multiplication principles introduction. The addition principle ChaPTer Combiatorics ChaPTer CoTeTS a The additio ad multiplicatio priciples b Permutatios C Factorials D Permutatios usig P r e Permutatios ivolvig restrictios F Arragemets i a circle G Combiatios usig

More information

CHAPTER 5 A NEAR-LOSSLESS RUN-LENGTH CODER

CHAPTER 5 A NEAR-LOSSLESS RUN-LENGTH CODER 95 CHAPTER 5 A NEAR-LOSSLESS RUN-LENGTH CODER 5.1 GENERAL Ru-legth codig is a lossless image compressio techique, which produces modest compressio ratios. Oe way of icreasig the compressio ratio of a ru-legth

More information

CP 405/EC 422 MODEL TEST PAPER - 1 PULSE & DIGITAL CIRCUITS. Time: Three Hours Maximum Marks: 100

CP 405/EC 422 MODEL TEST PAPER - 1 PULSE & DIGITAL CIRCUITS. Time: Three Hours Maximum Marks: 100 PULSE & DIGITAL CIRCUITS Time: Three Hours Maximum Marks: 0 Aswer five questios, takig ANY TWO from Group A, ay two from Group B ad all from Group C. All parts of a questio (a, b, etc. ) should be aswered

More information

Counting III. Today we ll briefly review some facts you dervied in recitation on Friday and then turn to some applications of counting.

Counting III. Today we ll briefly review some facts you dervied in recitation on Friday and then turn to some applications of counting. 6.04/18.06J Mathematics for Computer Sciece April 5, 005 Srii Devadas ad Eric Lehma Lecture Notes Coutig III Today we ll briefly review some facts you dervied i recitatio o Friday ad the tur to some applicatios

More information

Chapter 2: Probability

Chapter 2: Probability hapter : roaility A {FF}, B {MM}, {MF, FM, MM} The, A B 0/, B {MM}, B {MF, FM}, A B {FF,MM}, A, B a A B A B c A B d A B A B 4 a 8 hapter : roaility 9 5 a A B A B A B B A A B A B B A B B B A A c A B A B

More information

4.3 COLLEGE ALGEBRA. Logarithms. Logarithms. Logarithms 11/5/2015. Logarithmic Functions

4.3 COLLEGE ALGEBRA. Logarithms. Logarithms. Logarithms 11/5/2015. Logarithmic Functions 0 TH EDITION COLLEGE ALGEBRA 4. Logarithic Fuctios Logarithic Equatios Logarithic Fuctios Properties of LIAL HORNSBY SCHNEIDER 4. - 4. - The previous sectio dealt with epoetial fuctios of the for y = a

More information

Math 140 Introductory Statistics

Math 140 Introductory Statistics 6. Probability Distributio from Data Math Itroductory Statistics Professor Silvia Ferádez Chapter 6 Based o the book Statistics i Actio by A. Watkis, R. Scheaffer, ad G. Cobb. We have three ways of specifyig

More information

Lecture 28: MOSFET as an Amplifier. Small-Signal Equivalent Circuit Models.

Lecture 28: MOSFET as an Amplifier. Small-Signal Equivalent Circuit Models. hites, EE 320 ecture 28 Page 1 of 7 ecture 28: MOSFET as a Amplifier. Small-Sigal Equivalet Circuit Models. As with the BJT, we ca use MOSFETs as AC small-sigal amplifiers. A example is the so-called coceptual

More information

MDM 4U MATH OF DATA MANAGEMENT FINAL EXAMINATION

MDM 4U MATH OF DATA MANAGEMENT FINAL EXAMINATION Caadia Iteratioal Matriculatio rogramme Suway Uiversity College MDM 4U MTH OF DT MNGEMENT FINL EXMINTION Date: November 28 th, 2006 Time: 11.30a.m 1.30p.m Legth: 2 HOURS Lecturers: lease circle your teacher

More information

EMCdownload. Acknowledgements. Fair use

EMCdownload. Acknowledgements. Fair use EMC_Sulight.idd 1 28/03/2013 09:06 Ackowledgemets Writte by Aa Sarchet, with Kate Oliver Edited by Kate Oliver Frot cover: Rebecca Scambler, 2013 Published by The Eglish ad Media Cetre, 2013 for EMCdowload.co.uk

More information

信號與系統 Signals and Systems

信號與系統 Signals and Systems Sprig 24 信號與系統 Sigals ad Systems Chapter SS- Sigals ad Systems Feg-Li Lia NTU-EE Feb4 Ju4 Figures ad images used i these lecture otes are adopted from Sigals & Systems by Ala V. Oppeheim ad Ala S. Willsky,

More information

3. Error Correcting Codes

3. Error Correcting Codes 3. Error Correctig Codes Refereces V. Bhargava, Forward Error Correctio Schemes for Digital Commuicatios, IEEE Commuicatios Magazie, Vol 21 No1 11 19, Jauary 1983 Mischa Schwartz, Iformatio Trasmissio

More information

LP10 INFERENTIAL STATISTICS - Confidence intervals.

LP10 INFERENTIAL STATISTICS - Confidence intervals. LP10 INFERENTIAL STATISTICS - Cofidece iterval. Objective: - how to determie the cofidece iterval for the mea of a ample - Determiig Sample Size for a Specified Width Cofidece Iterval Theoretical coideratio

More information

Design of FPGA- Based SPWM Single Phase Full-Bridge Inverter

Design of FPGA- Based SPWM Single Phase Full-Bridge Inverter Desig of FPGA- Based SPWM Sigle Phase Full-Bridge Iverter Afarulrazi Abu Bakar 1, *,Md Zarafi Ahmad 1 ad Farrah Salwai Abdullah 1 1 Faculty of Electrical ad Electroic Egieerig, UTHM *Email:afarul@uthm.edu.my

More information

Introduction to Wireless Communication Systems ECE 476/ECE 501C/CS 513 Winter 2003

Introduction to Wireless Communication Systems ECE 476/ECE 501C/CS 513 Winter 2003 troductio to Wireless Commuicatio ystems ECE 476/ECE 501C/C 513 Witer 2003 eview for Exam #1 March 4, 2003 Exam Details Must follow seatig chart - Posted 30 miutes before exam. Cheatig will be treated

More information

Table Of Contents Blues Turnarounds

Table Of Contents Blues Turnarounds Table Of Cotets Blues Turarouds Turaroud #1 Turaroud # Turaroud # Turaroud # Turaroud # Turaroud # Turaroud # Turaroud # Turaroud # Blues Turarouds Blues Soloig Masterclass Week 1 Steve Stie A Blues Turaroud

More information

信號與系統 Signals and Systems

信號與系統 Signals and Systems Sprig 2 信號與系統 Sigals ad Systems Chapter SS- Sigals ad Systems Feg-Li Lia NTU-EE Feb Ju Figures ad images used i these lecture otes are adopted from Sigals & Systems by Ala V. Oppeheim ad Ala S. Willsky,

More information

ASample of an XML stream is:

ASample of an XML stream is: 1 Efficiet Multichael i XML Wireless Broadcast Stream Arezoo Khatibi* 1 ad Omid Khatibi 2 1 Faculty of Computer Sciece, Uiversity of Kasha, Kasha, Ira 2 Faculty of Mathematics, Uiversity of Viea,Viea,

More information

Spread Spectrum Signal for Digital Communications

Spread Spectrum Signal for Digital Communications Wireless Iformatio Trasmissio System Lab. Spread Spectrum Sigal for Digital Commuicatios Istitute of Commuicatios Egieerig Natioal Su Yat-se Uiversity Spread Spectrum Commuicatios Defiitio: The trasmitted

More information

POWERS OF 3RD ORDER MAGIC SQUARES

POWERS OF 3RD ORDER MAGIC SQUARES Fuzzy Sets, Rough Sets ad Multivalued Operatios ad Applicatios, Vol. 4, No. 1, (Jauary-Jue 01): 37 43 Iteratioal Sciece Press POWERS OF 3RD ORDER MAGIC SQUARES Sreerajii K.S. 1 ad V. Madhukar Mallayya

More information

Counting and Probability CMSC 250

Counting and Probability CMSC 250 Coutig ad Probabilit CMSC 50 1 Coutig Coutig elemets i a list: how ma itegers i the list from 1 to 10? how ma itegers i the list from m to? assumig m CMSC 50 How Ma i a List? How ma positive three-digit

More information

Intermediate Information Structures

Intermediate Information Structures Modified from Maria s lectures CPSC 335 Itermediate Iformatio Structures LECTURE 11 Compressio ad Huffma Codig Jo Roke Computer Sciece Uiversity of Calgary Caada Lecture Overview Codes ad Optimal Codes

More information

Using Color Histograms to Recognize People in Real Time Visual Surveillance

Using Color Histograms to Recognize People in Real Time Visual Surveillance Usig Color Histograms to Recogize People i Real Time Visual Surveillace DANIEL WOJTASZEK, ROBERT LAGANIERE S.I.T.E. Uiversity of Ottawa, Ottawa, Otario CANADA daielw@site.uottawa.ca, lagaier@site.uottawa.ca

More information

As an Exceptional Student in Intellectual Disabilities. You Are Cordially Invited to be Seen and Recognized as a Future Leader in the Field

As an Exceptional Student in Intellectual Disabilities. You Are Cordially Invited to be Seen and Recognized as a Future Leader in the Field As a Exceptioal Studet i Itellectual Disabilities You Are Cordially Ivited to be See ad Recogized as a Future Leader i the Field You Caot Start Too Early To Begi Your Rise To Leadership i Our Field You

More information

HOW BAD RECEIVER COORDINATES CAN AFFECT GPS TIMING

HOW BAD RECEIVER COORDINATES CAN AFFECT GPS TIMING HOW BAD RECEIVER COORDINATES CAN AFFECT GPS TIMING H. Chadsey U.S. Naval Observatory Washigto, D.C. 2392 Abstract May sources of error are possible whe GPS is used for time comparisos. Some of these mo

More information

HIGHER SECONDARY FIRST YEAR MATHEMATICS. ALGEBRA Creative Questions Time : 1.15 Hrs Marks : 45 Part - I Choose the correct answer 10 1 = 10.

HIGHER SECONDARY FIRST YEAR MATHEMATICS. ALGEBRA Creative Questions Time : 1.15 Hrs Marks : 45 Part - I Choose the correct answer 10 1 = 10. www.tbtpsc.com HIGHER SEONDARY FIRST YEAR MATHEMATIS ALGEBRA eative Questios Time :. Hs Maks : Pat - I hoose the coect aswe =. The co-efficiet of middle tem i the epasio of is a) b)...( )! c).6,...( )

More information

A SELECTIVE POINTER FORWARDING STRATEGY FOR LOCATION TRACKING IN PERSONAL COMMUNICATION SYSTEMS

A SELECTIVE POINTER FORWARDING STRATEGY FOR LOCATION TRACKING IN PERSONAL COMMUNICATION SYSTEMS A SELETIVE POINTE FOWADING STATEGY FO LOATION TAKING IN PESONAL OUNIATION SYSTES Seo G. hag ad hae Y. Lee Departmet of Idustrial Egieerig, KAIST 373-, Kusug-Dog, Taejo, Korea, 305-70 cylee@heuristic.kaist.ac.kr

More information

GENERALIZED FORM OF A 4X4 STRONGLY MAGIC SQUARE

GENERALIZED FORM OF A 4X4 STRONGLY MAGIC SQUARE IJMMS, Vol. 1, No. Geeralized 1, (Jauary-Jue Form 016):87-9 of A 4x4 Strogly Magic Square Serials Publicatios 87 ISSN: 0973-339 GENERALIZED FORM OF A 4X4 STRONGLY MAGIC SQUARE Neeradha. C. K, ad Dr. V.

More information

Fingerprint Classification Based on Directional Image Constructed Using Wavelet Transform Domains

Fingerprint Classification Based on Directional Image Constructed Using Wavelet Transform Domains 7 Figerprit Classificatio Based o Directioal Image Costructed Usig Wavelet Trasform Domais Musa Mohd Mokji, Syed Abd. Rahma Syed Abu Bakar, Zuwairie Ibrahim 3 Departmet of Microelectroic ad Computer Egieerig

More information

Department of Electrical and Computer Engineering, Cornell University. ECE 3150: Microelectronics. Spring Due on April 26, 2018 at 7:00 PM

Department of Electrical and Computer Engineering, Cornell University. ECE 3150: Microelectronics. Spring Due on April 26, 2018 at 7:00 PM Departmet of Electrical ad omputer Egieerig, orell Uiersity EE 350: Microelectroics Sprig 08 Homework 0 Due o April 6, 08 at 7:00 PM Suggested Readigs: a) Lecture otes Importat Notes: ) MAKE SURE THAT

More information

A Novel Three Value Logic for Computing Purposes

A Novel Three Value Logic for Computing Purposes Iteratioal Joural o Iormatio ad Electroics Egieerig, Vol. 3, No. 4, July 23 A Novel Three Value Logic or Computig Purposes Ali Soltai ad Saeed Mohammadi Abstract The aim o this article is to suggest a

More information

sible number of wavelengths. The wave~~ngt~ ~ ~ ~ c ~ n b~dwidth is set low eno~gh to interfax One of the most im

sible number of wavelengths. The wave~~ngt~ ~ ~ ~ c ~ n b~dwidth is set low eno~gh to interfax One of the most im sible umber of wavelegths. The wave~~gt~ ~ ~ ~ c ~ b~dwidth is set low eo~gh to iterfax vices. Oe of the most im ed trasmitters ad ysis much more CO "The author is also f Cumputer sciece Departmet, Uiversity

More information

Making sure metrics are meaningful

Making sure metrics are meaningful Makig sure metrics are meaigful Some thigs are quatifiable, but ot very useful CPU performace: MHz is ot the same as performace Cameras: Mega-Pixels is ot the same as quality Cosistet ad quatifiable metrics

More information

A Novel Small Signal Power Line Quality Measurement System

A Novel Small Signal Power Line Quality Measurement System IMTC 3 - Istrumetatio ad Measuremet Techology Coferece Vail, CO, USA, - May 3 A ovel Small Sigal Power Lie Quality Measuremet System Paul B. Crilly, Erik Leadro Boaldi, Levy Ely de Lacarda de Oliveira,

More information

Cancellation of Multiuser Interference due to Carrier Frequency Offsets in Uplink OFDMA

Cancellation of Multiuser Interference due to Carrier Frequency Offsets in Uplink OFDMA Cacellatio of Multiuser Iterferece due to Carrier Frequecy Offsets i Upli OFDMA S. Maohar, V. Tiiya, D. Sreedhar, ad A. Chocaligam Departmet of ECE, Idia Istitute of Sciece, Bagalore 56001, INDIA Abstract

More information

Efficient Feedback-Based Scheduling Policies for Chunked Network Codes over Networks with Loss and Delay

Efficient Feedback-Based Scheduling Policies for Chunked Network Codes over Networks with Loss and Delay Efficiet Feedback-Based Schedulig Policies for Chuked Network Codes over Networks with Loss ad Delay Aoosheh Heidarzadeh ad Amir H. Baihashemi Departmet of Systems ad Computer Egieerig, Carleto Uiversity,

More information

ECE 333: Introduction to Communication Networks Fall Lecture 4: Physical layer II

ECE 333: Introduction to Communication Networks Fall Lecture 4: Physical layer II ECE 333: Itroductio to Commuicatio Networks Fall 22 Lecture : Physical layer II Impairmets - distortio, oise Fudametal limits Examples Notes: his lecture cotiues the discussio of the physical layer. Recall,

More information

Laboratory Exercise 3: Dynamic System Response Laboratory Handout AME 250: Fundamentals of Measurements and Data Analysis

Laboratory Exercise 3: Dynamic System Response Laboratory Handout AME 250: Fundamentals of Measurements and Data Analysis Laboratory Exercise 3: Dyamic System Respose Laboratory Hadout AME 50: Fudametals of Measuremets ad Data Aalysis Prepared by: Matthew Beigto Date exercises to be performed: Deliverables: Part I 1) Usig

More information

A study on the efficient compression algorithm of the voice/data integrated multiplexer

A study on the efficient compression algorithm of the voice/data integrated multiplexer A study o the efficiet compressio algorithm of the voice/data itegrated multiplexer Gyou-Yo CHO' ad Dog-Ho CHO' * Dept. of Computer Egieerig. KyiigHee Uiv. Kiheugup Yogiku Kyuggido, KOREA 449-71 PHONE

More information

15 min/ Fall in New England

15 min/ Fall in New England 5 mi/ 0+ -4 Fall i New Eglad Before witer makes its appearace, a particularly warm fall bathes the forest i a golde shimmer. Durig the Idia Summer, New Eglad blossoms oe last time. Treetops are ablaze

More information

Room Design [ HOW TO SET UP YOUR EVENT SPACE ]

Room Design [ HOW TO SET UP YOUR EVENT SPACE ] Room Desig [ HOW TO SET UP YOUR EVENT SPACE ] There are so may compoets of plaig a evet ad so may decisios! I this article you will lear about some factors that will help you choose the best space for

More information

4. INTERSYMBOL INTERFERENCE

4. INTERSYMBOL INTERFERENCE DATA COMMUNICATIONS 59 4. INTERSYMBOL INTERFERENCE 4.1 OBJECT The effects of restricted badwidth i basebad data trasmissio will be studied. Measuremets relative to itersymbol iterferece, usig the eye patter

More information