Discrete-Time Complex Exponential Sequence.

Size: px
Start display at page:

Download "Discrete-Time Complex Exponential Sequence."

Transcription

1 Discrt-Tim Cmplx Exptial Squc. x ] Cα, whr C adα ar i gral cmplx umbrs. Altrativly w ca xprss th squc i th fllwig frm : - x ] C β, whrα β. Althugh this frm is similar t th ctiuus - tim xptial sigal w hav dscribd prviusly, th frmr frm is prfrrd wh dalig with th discrt - tim squc. 1

2 Ral Exptial Sigal x ] C * α whrα > 1. g. x ] 2*1. 1 2

3 Ral Exptial Sigal x ] C * α whr 0 < α < 1 x ] 2*0. 9 3

4 Ral Exptial Sigal x ] C * α whr -1< α < 0 x ] 2*( 0.9) 4

5 Ral Exptial Sigal x ] C * α whrα < 1 x ] 2*( 1.1) 5

6 Ral Exptial Sigal x ] C * α whrα 1 x ] 2*( 1) 6

7 Ral Exptial Sigal Ral-valud discrt xptials ar usd t dscrib:- 1) Ppulati grwth as fucti f grati. 2) Ttal rtur ivstmt as a fucti f day, mth r quartr. 7

8 8 Siusidal Sigals j j j j j j A A A j A x x C x β ϖ ϖ β ) cs( si cs - rlati : Frm Eulr's radias. f hav uits ad th bth Takig as dimsilss, ). cs( ] : sigal is clsly rlatd t siusidal sigal This. ] b purly a imagiary umbr. j 1& lt C, ]

9 Discrt-tim Siusidal Sigals x ] cs(2π /12) x ] cs(8π / 31) x ] cs( / 6) 9

10 Discrt-tim Siusidal Sigals Ths discrt-tim sigals pssssd:- 1) Ifiit ttal rgy 2) Fiit avrag pwr. 10

11 Gral Cmplx Exptial Sigals Th gral discrt - tim cmplx xptial ca b itrprtd i trms f ral xptials ad siusidal sigals. Writig C ad α i plar frm : - C C jθ, x ] Cα α α C α j cs( + θ ) + j C α α 1, ral & imagiary parts ar siusidal. a < 1, siusidal dcayig xptially, a > 1, siusidal grwig xptially.. si( + θ ) 11

12 Gral Cmplx Exptial Sigals α >1 α <1 12

13 2) Pridicity Prprtis f Discrttim Cmplx Exptials Tw prprtis f 1)Th Largr is j t is ctiuus -, th highr is th rat f pridic fr ay valu f. tim cutrpart j t scillati. Thr ar diffrcs i ach f th abv prprtis fr th discrt-tim j cas f. 13

14 Pridicity Prprtis f Discrt-tim Cmplx Exptials Csidr th discrt - tim cmplx xptial with frqucy j( + 2π ) j2π j j Frm this w cclud that th xptial at frqucy + 2π : This is vry diffrt frm th ctiuus - tim cas whrby th sigals ar all distict fr all distict valus f.. + 2π is th sam as that at frqucy. Similarly at frqucis ± 2π, ± 4π,ad s. Bcaus f this pridicity f 2π, w d ly t csidr frqucy itrval f 2π i th cas fr discrt - tim sigals. 14

15 Pridicity Prprtis f Discrt-tim Cmplx Exptials Bcausf this implid pridicity f discrt- tim sigal, th sigal as j ds t hav a ctiually icrasigrat f scillati is icrasdi magitud. Icrasig frm 0 (d.c.,cstat squc, scillati) th scillati icrassutil π, thraftr th scillati willdcrast 0 i..a cstat squcr d.c.sigalat 2π. 15

16 Pridicity Prprtis f Discrt-tim Cmplx Exptials Thrfr,lw frqucis ccursat 0, ± 2π, ± v multiplf π. High frqucis ar at t fr π, dd multiplfπ, ± π, ± 3π, ± dd multiplf π. ( th sigal scillatsrapidly,chagigsig at ach pit i tim. jπ jπ ) ( 1), 16

17 Pridicity Prprtis f Discrt-tim Cmplx Exptials x ] cs( 0 ) 1 x ] cs( π / 8 ) x ] cs( π / 4 ) x ] cs( π ) x ] cs( π / 2 ) x ] cs( 3π / 2 ) x ] cs( 7π / 4 ) x ] cs( 15 π / 8 ) x ] cs( 2π ) 17

18 Pridicity Prprtis f Discrt-tim Cmplx Exptials Scd prprty ccrs th pridicity f th discrt-tim cmplx xptial. I rdr fr j ( + ) i.. j j must b a, r quivaltly multipl f j This mas that th sigal t b pridic with prid 2π. j 2π m, r quvaltly 2π 1. is pridic if / 2π is a ratial umbr ad is t pridic thrwis. This is als tru fr th discrt - tim siusids. m, > 0, 18

19 19 Discrt-tim Siusidal Sigals /12, 2 pridic bcaus /12) cs(2 ] π π π x , / 8 pridic bcaus 31) / cs(8 ] π π π x umbr ratial 2 6, 1/ t pridic bcaus 6) / cs( ] π x

20 Fudamtal Prid & Frqucy f discrt-tim cmplx xptial If x] 2π Its fudamtal frqucy is, m Th fudamtal prid is writt as : - 2π m( ) j is pridic with fudamtal prid, 20

21 Cmparis f th sigal j t j ad j t Distict sigals fr distict valus f. j Idtical sigals fr valus f sparatd by multipls f 2π Pridic fr ay chic f. Fudamtal frqucy Fudamtal 0 : udfid 2π 0 : prid Pridic ly if fr sm itgrs > 2 π m 0 ad 0 Fudamtal frqucy m Fudamtal prid 0 : udfid 2π 0 : m( ) 21, m

22 Harmically rlatd pridic xptial squc Csidrig pridic xptials with cmm prid sampls: k ] jk (2π / ), fr k 0, ± 1,... This st f sigals pssss frqucis which ar multipls f 2π / 22

23 Harmically rlatd pridic xptial squc I ctiuus-tim cas jk ( 2π / T ) t ar all distict sigals fr k 0, ± 1, ± 2,... k + ] j( k + )(2π / ) jk(2π/) j2π k ] 23

24 24 Harmically rlatd pridic xptial squc Thrfr, thr ar ly distict pridic xptials i th discrt harmic squcs. ] ) ] th abv.(.g. f t ]is idtical Ay thr ]..., ], ] 1, ] 0 k / 1) ( 2 1 / 4 2 / 2 1 j j j π π π

2.2.C Analogy between electronic excitations in an atom and the mechanical motion of a forced harmonic oscillator"

2.2.C Analogy between electronic excitations in an atom and the mechanical motion of a forced harmonic oscillator ..C Analgy btwn lctrnic xcitatins in an atm and th mchanical mtin f a frcd harmnic scillatr" Hw t chs th valu f th crrspnding spring cnstant k? Rsnant Absrptin Mchanical rsnanc W idntify th mchanical rsnanc

More information

Finite Dimensional Vector Spaces.

Finite Dimensional Vector Spaces. Lctur 5. Ft Dmsoal Vctor Spacs. To b rad to th musc of th group Spac by D.Maruay DEFINITION OF A LINEAR SPACE Dfto: a vctor spac s a st R togthr wth a oprato calld vctor addto ad aothr oprato calld scalar

More information

Problem Set 6 Solutions

Problem Set 6 Solutions 6.04/18.06J Mathmatics for Computr Scic March 15, 005 Srii Dvadas ad Eric Lhma Problm St 6 Solutios Du: Moday, March 8 at 9 PM Problm 1. Sammy th Shar is a fiacial srvic providr who offrs loas o th followig

More information

BASIC DEFINITIONS AND TERMINOLOGY OF SOILS

BASIC DEFINITIONS AND TERMINOLOGY OF SOILS 1 BASIC DEFINITIONS AND TERMINOLOGY OF SOILS Soil i a thr pha atrial hich coit of olid particl hich ak up th oil klto ad void hich ay b full of atr if th oil i aturatd, ay b full of air if th oil i dry,

More information

Lecture 3: Diffusion: Fick s first law

Lecture 3: Diffusion: Fick s first law Lctur 3: Diffusion: Fick s first law Today s topics What is diffusion? What drivs diffusion to occur? Undrstand why diffusion can surprisingly occur against th concntration gradint? Larn how to dduc th

More information

www.akcp.com Virtual Sensors

www.akcp.com Virtual Sensors www.akcp.cm Irduci: Virual Ssrs Virual ssrs ca b a vry pwrful l i yur mirig sysm. O h scuriyprb yu ca hav up 80 f hs virual ssrs ad hy allw fr a muliud f applicais. Igrai wih MODBUS wrks wih h scuriyprb

More information

The time series data in this example are obtained from sampling a function describing the free decay of a torsion oscillator for time t > t o

The time series data in this example are obtained from sampling a function describing the free decay of a torsion oscillator for time t > t o The Excel FFT Fucti v2 P T Debevec July 5, 28 The discrete Furier trasfrm may be used t idetify peridic structures i time series data Suppse that a physical prcess is represeted by the fucti f time, ht

More information

Basis risk. When speaking about forward or futures contracts, basis risk is the market

Basis risk. When speaking about forward or futures contracts, basis risk is the market Basis risk Whn spaking about forward or futurs contracts, basis risk is th markt risk mismatch btwn a position in th spot asst and th corrsponding futurs contract. Mor broadly spaking, basis risk (also

More information

CHAPTER 4c. ROOTS OF EQUATIONS

CHAPTER 4c. ROOTS OF EQUATIONS CHAPTER c. ROOTS OF EQUATIONS A. J. Clark School o Enginring Dpartmnt o Civil and Environmntal Enginring by Dr. Ibrahim A. Aakka Spring 00 ENCE 03 - Computation Mthod in Civil Enginring II Dpartmnt o Civil

More information

Question 3: How do you find the relative extrema of a function?

Question 3: How do you find the relative extrema of a function? ustion 3: How do you find th rlativ trma of a function? Th stratgy for tracking th sign of th drivativ is usful for mor than dtrmining whr a function is incrasing or dcrasing. It is also usful for locating

More information

Sun Synchronous Orbits for the Earth Solar Power Satellite System

Sun Synchronous Orbits for the Earth Solar Power Satellite System Sun Synchrnus Orbts fr th Earth Sar Pwr Satt Systm Sm f th mst prmsng rbts fr th Earth Sar Pwr Systm ar crcuar Sun synchrnus rbts whch nvr ntr Earth's shaw. In ths rbts, gravty grant stabz "pwr twrs" w

More information

Econ 371: Answer Key for Problem Set 1 (Chapter 12-13)

Econ 371: Answer Key for Problem Set 1 (Chapter 12-13) con 37: Answr Ky for Problm St (Chaptr 2-3) Instructor: Kanda Naknoi Sptmbr 4, 2005. (2 points) Is it possibl for a country to hav a currnt account dficit at th sam tim and has a surplus in its balanc

More information

GROUP MEDICAL INSURANCE PROPOSAL FORM GROUP MEDICAL INSURANCE PROPOSAL FORM

GROUP MEDICAL INSURANCE PROPOSAL FORM GROUP MEDICAL INSURANCE PROPOSAL FORM Call us: 920012331 www.acig.com.sa Allid Cooprativ Isurac Group (ACIG) شركة املجموعة املتحدة للتاأمني التعاوين ) أ سيج( GROUP MEDICAL INSURANCE GROUP MEDICAL INSURANCE Clit Dtails: - GROUP MEDICAL INSURANCE

More information

ESCI 241 Meteorology Lesson 6 Humidity

ESCI 241 Meteorology Lesson 6 Humidity ESCI 41 Mtorology Lsson 6 Humiity Raing: MT Chatr 5 PARTIAL PRESSURE In a mixtur of gass, ach gas scis contributs to th total rssur. ο Th rssur xrt by a singl gas scis is known as th artial rssur for that

More information

Trigonometric Form of a Complex Number. The Complex Plane. axis. ( 2, 1) or 2 i FIGURE 6.44. The absolute value of the complex number z a bi is

Trigonometric Form of a Complex Number. The Complex Plane. axis. ( 2, 1) or 2 i FIGURE 6.44. The absolute value of the complex number z a bi is 0_0605.qxd /5/05 0:45 AM Page 470 470 Chapter 6 Additioal Topics i Trigoometry 6.5 Trigoometric Form of a Complex Number What you should lear Plot complex umbers i the complex plae ad fid absolute values

More information

Traffic Flow Analysis (2)

Traffic Flow Analysis (2) Traffic Flow Analysis () Statistical Proprtis. Flow rat distributions. Hadway distributions. Spd distributions by Dr. Gang-Ln Chang, Profssor Dirctor of Traffic safty and Oprations Lab. Univrsity of Maryland,

More information

MATHEMATICS P2 COMMON TEST JUNE 2014 NATIONAL SENIOR CERTIFICATE

MATHEMATICS P2 COMMON TEST JUNE 2014 NATIONAL SENIOR CERTIFICATE Mathematics/P Jue 04 Cmm Test MATHEMATICS P COMMON TEST JUNE 04 NATIONAL SENIOR CERTIFICATE GRADE Marks: 5 Time: ½ hurs N.B. This questi paper csists f 9 pages, diagram sheets ad ifrmati sheet. Mathematics/P

More information

Adverse Selection and Moral Hazard in a Model With 2 States of the World

Adverse Selection and Moral Hazard in a Model With 2 States of the World Advrs Slction and Moral Hazard in a Modl With 2 Stats of th World A modl of a risky situation with two discrt stats of th world has th advantag that it can b natly rprsntd using indiffrnc curv diagrams,

More information

Wireless Communication Technologies

Wireless Communication Technologies Wirlss Commuicatio chologis Rutgrs Uivrsity Dpt. of Elctrical ad Computr Egirig ECE559 (Advacd opics i Commuicatio Egirig Lctur & (Fruary 7 & March 4, Istructor: Dr. araya B. Madayam Summary y Di Wu (diwu@wila.rutgrs.du

More information

CPS 220 Theory of Computation REGULAR LANGUAGES. Regular expressions

CPS 220 Theory of Computation REGULAR LANGUAGES. Regular expressions CPS 22 Thory of Computation REGULAR LANGUAGES Rgular xprssions Lik mathmatical xprssion (5+3) * 4. Rgular xprssion ar built using rgular oprations. (By th way, rgular xprssions show up in various languags:

More information

Analyzing multiple logs for forensic evidence 5

Analyzing multiple logs for forensic evidence 5 digital ivstigati 4S (2007) S82 S91 availabl at www.scicdirct.cm jural hmpag: www.lsvir.cm/lcat/dii Aalyzig multipl lgs fr frsic vidc 5 Ali Rza Arasth, Murad Dbbabi*, Assaad Sakha, Mhamd Salh Cmputr Scurity

More information

Initial inventory levels for a book publishing firm

Initial inventory levels for a book publishing firm Mőhlytaulmáy Vállalatgazdaságta Itézt 93 Budapst, Fıvám tér 8. (+36 ) 482-5566, Fax: 482-5567 www.u-crvus.hu/vallgazd Ital vtry lvls fr a b publshg frm Imr Dbs Ágs Wmmr 23. sz. Mőhlytaulmáy HU ISSN 786-33

More information

Long run: Law of one price Purchasing Power Parity. Short run: Market for foreign exchange Factors affecting the market for foreign exchange

Long run: Law of one price Purchasing Power Parity. Short run: Market for foreign exchange Factors affecting the market for foreign exchange Lctur 6: Th Forign xchang Markt xchang Rats in th long run CON 34 Mony and Banking Profssor Yamin Ahmad xchang Rats in th Short Run Intrst Parity Big Concpts Long run: Law of on pric Purchasing Powr Parity

More information

by John Donald, Lecturer, School of Accounting, Economics and Finance, Deakin University, Australia

by John Donald, Lecturer, School of Accounting, Economics and Finance, Deakin University, Australia Studnt Nots Cost Volum Profit Analysis by John Donald, Lcturr, School of Accounting, Economics and Financ, Dakin Univrsity, Australia As mntiond in th last st of Studnt Nots, th ability to catgoris costs

More information

MOSFET Small Signal Model and Analysis

MOSFET Small Signal Model and Analysis Just as we did with the BJT, we ca csider the MOSFET amplifier aalysis i tw parts: Fid the DC peratig pit The determie the amplifier utput parameters fr ery small iput sigals. + V 1 - MOSFET Small Sigal

More information

1. Online Event Registration 2. Event Marketing 3. Automated Event Progress Reports 4. Web based Point of Sale Terminal 5. Email Marketing System

1. Online Event Registration 2. Event Marketing 3. Automated Event Progress Reports 4. Web based Point of Sale Terminal 5. Email Marketing System 2 t v E S d Ivit 3 M o it o r ro la 1 r g 1 Oli Evt Rgitratio 2 Evt Marktig 3 Automatd Evt rogr Rport 4 Wb bad oit of Sal Trmial 5 Email Marktig Sytm ag 1 of 6 Copyright 2004-2011 myvillag oli Evt Maagmt

More information

ME 612 Metal Forming and Theory of Plasticity. 6. Strain

ME 612 Metal Forming and Theory of Plasticity. 6. Strain Mtal Forming and Thory of Plasticity -mail: azsnalp@gyt.du.tr Makin Mühndisliği Bölümü Gbz Yüksk Tknoloji Enstitüsü 6.1. Uniaxial Strain Figur 6.1 Dfinition of th uniaxial strain (a) Tnsil and (b) Comprssiv.

More information

New Basis Functions. Section 8. Complex Fourier Series

New Basis Functions. Section 8. Complex Fourier Series Nw Basis Functions Sction 8 Complx Fourir Sris Th complx Fourir sris is prsntd first with priod 2, thn with gnral priod. Th connction with th ral-valud Fourir sris is xplaind and formula ar givn for convrting

More information

Lecture 20: Emitter Follower and Differential Amplifiers

Lecture 20: Emitter Follower and Differential Amplifiers Whits, EE 3 Lctur 0 Pag of 8 Lctur 0: Emittr Followr and Diffrntial Amplifirs Th nxt two amplifir circuits w will discuss ar ry important to lctrical nginring in gnral, and to th NorCal 40A spcifically.

More information

5.4 Exponential Functions: Differentiation and Integration TOOTLIFTST:

5.4 Exponential Functions: Differentiation and Integration TOOTLIFTST: .4 Eponntial Functions: Diffrntiation an Intgration TOOTLIFTST: Eponntial functions ar of th form f ( ) Ab. W will, in this sction, look at a spcific typ of ponntial function whr th bas, b, is.78.... This

More information

CPU. Rasterization. Per Vertex Operations & Primitive Assembly. Polynomial Evaluator. Frame Buffer. Per Fragment. Display List.

CPU. Rasterization. Per Vertex Operations & Primitive Assembly. Polynomial Evaluator. Frame Buffer. Per Fragment. Display List. Elmntary Rndring Elmntary rastr algorithms for fast rndring Gomtric Primitivs Lin procssing Polygon procssing Managing OpnGL Stat OpnGL uffrs OpnGL Gomtric Primitivs ll gomtric primitivs ar spcifid by

More information

SFO Central Office Diversity Statement of Work

SFO Central Office Diversity Statement of Work SFO Central Office Diversity Statement f Wrk In an effrt t prvide a higher level f telecmmunicatins diversity t the Airprt Cmmissin, and its Tenants, San Francisc Airprt (SFO) is initiating a prject t

More information

Compression Outline. LZ77: Sliding Window Lempel-Ziv. Lempel-Ziv Algorithms. CPS 296.3:Algorithms in the Real World

Compression Outline. LZ77: Sliding Window Lempel-Ziv. Lempel-Ziv Algorithms. CPS 296.3:Algorithms in the Real World Cmprssin Outlin CPS 296.3:Algrithms in th Ral Wrl Data Cmprssin III Intrutin: Lssy vs. Lsslss, Bnhmarks, Infrmatin Thry: Entrpy, t. Prbability Cing: Huffman + Arithmti Cing Appliatins f Prbability Cing:

More information

A Production-Delivery Inventory System under Continuous Price Decrease and Finite Planning Horizon

A Production-Delivery Inventory System under Continuous Price Decrease and Finite Planning Horizon Prceedigs f the 008 Idustrial Egieerig esearch Cferece J. Fwler ad S. as, eds. A Prducti-elivery Ivetry System uder Ctiuus Price ecrease ad Fiite Plaig Hriz Jufag Yu epartmet f Egieerig aagemet, Ifrmati

More information

Entity-Relationship Model

Entity-Relationship Model Entity-Rlationship Modl Kuang-hua Chn Dpartmnt of Library and Information Scinc National Taiwan Univrsity A Company Databas Kps track of a company s mploys, dpartmnts and projcts Aftr th rquirmnts collction

More information

Basic Elements of Arithmetic Sequences and Series

Basic Elements of Arithmetic Sequences and Series MA40S PRE-CALCULUS UNIT G GEOMETRIC SEQUENCES CLASS NOTES (COMPLETED NO NEED TO COPY NOTES FROM OVERHEAD) Basic Elemets of Arithmetic Sequeces ad Series Objective: To establish basic elemets of arithmetic

More information

A Note on Approximating. the Normal Distribution Function

A Note on Approximating. the Normal Distribution Function Applid Mathmatical Scincs, Vol, 00, no 9, 45-49 A Not on Approimating th Normal Distribution Function K M Aludaat and M T Alodat Dpartmnt of Statistics Yarmouk Univrsity, Jordan Aludaatkm@hotmailcom and

More information

Cooley-Tukey. Tukey FFT Algorithms. FFT Algorithms. Cooley

Cooley-Tukey. Tukey FFT Algorithms. FFT Algorithms. Cooley Cooley Cooley-Tuey Tuey FFT Algorithms FFT Algorithms Cosider a legth- sequece x[ with a -poit DFT X[ where Represet the idices ad as +, +, Cooley Cooley-Tuey Tuey FFT Algorithms FFT Algorithms Usig these

More information

7.1. Nicole s W-2 Wage and Tax Statement W-2 VISUAL. THEME 2 Lesson 7: Uncle Sam Takes a Bite 123-45-6789 1,822.00 00000000 24,050.

7.1. Nicole s W-2 Wage and Tax Statement W-2 VISUAL. THEME 2 Lesson 7: Uncle Sam Takes a Bite 123-45-6789 1,822.00 00000000 24,050. VISUA. THM 2 ssn : Uncl Sam Taks a Bit Nicl s W-2 Wag an Tax Statmnt b mplyr intificatin numbr (IN) c mplyr s nam, arss, an ZIP c a mply s scial scurity numbr 00000000 2,00.00 Yurtwn Supprt Srvics Braway

More information

AVAIL A. Magnum or Banana Cut. Here is the HOTTEST fletching on the market today.

AVAIL A. Magnum or Banana Cut. Here is the HOTTEST fletching on the market today. Hr is th HOTTEST fltching on th markt today. Ths Gatway xclusiv Printz fltchings will mak bautiful arrs. Printz ar availabl in Zbra, Tigr, Pacock and Custom styls. Th Custom styl will all you to put your

More information

http://www.wwnorton.com/chemistry/tutorials/ch14.htm Repulsive Force

http://www.wwnorton.com/chemistry/tutorials/ch14.htm Repulsive Force ctivation nrgis http://www.wwnorton.com/chmistry/tutorials/ch14.htm (back to collision thory...) Potntial and Kintic nrgy during a collision + + ngativly chargd lctron cloud Rpulsiv Forc ngativly chargd

More information

Approximate Counters for Flash Memory

Approximate Counters for Flash Memory Approximat Coutrs for Flash Mmory Jack Cichoń ad Wojcich Macya Istitut of Mathmatics ad Computr Scic Wrocław Uivrsity of Tchology, Polad Abstract Flash mmory bcoms th a vry popular storag dvic Du to its

More information

Chapter 20: Database Programming

Chapter 20: Database Programming Chapr 20: Daaa Prgrammig Pag 303 Chapr 20: Daaa Prgrammig Thi chapr wi hw hw BASIC-256 ca cc a imp raia aaa a u i r a rriv ufu ifrmai. Wha i a Daaa: A aaa i impy a rgaiz cci f umr, rig, a hr yp f ifrmai.

More information

Power Means Calculus Product Calculus, Harmonic Mean Calculus, and Quadratic Mean Calculus

Power Means Calculus Product Calculus, Harmonic Mean Calculus, and Quadratic Mean Calculus Gug Istitut Jourl, Volum 4, No 4, Novmbr 008 H. Vic Do Powr Ms Clculus Product Clculus, Hrmoic M Clculus, d Qudrtic M Clculus H. Vic Do vick@dc.com Mrch, 008 Gug Istitut Jourl, Volum 4, No 4, Novmbr 008

More information

Foreign Exchange Markets and Exchange Rates

Foreign Exchange Markets and Exchange Rates Microconomics Topic 1: Explain why xchang rats indicat th pric of intrnational currncis and how xchang rats ar dtrmind by supply and dmand for currncis in intrnational markts. Rfrnc: Grgory Mankiw s Principls

More information

Multipolar interband absorption in a semiconductor quantum dot. II. Magnetic dipole enhancement

Multipolar interband absorption in a semiconductor quantum dot. II. Magnetic dipole enhancement 2722 J. Opt. Sc. Am. B/ Vl. 19, N. 11/ Nvmbr 2002 J. R. Zurita-Sánchz and L. Nvtny Multiplar intrband absrptin in a smicnductr quantum dt. II. Magntic dipl nhancmnt Jrg R. Zurita-Sánchz and Lukas Nvtny

More information

Rural and Remote Broadband Access: Issues and Solutions in Australia

Rural and Remote Broadband Access: Issues and Solutions in Australia Rural and Rmot Broadband Accss: Issus and Solutions in Australia Dr Tony Warrn Group Managr Rgulatory Stratgy Tlstra Corp Pag 1 Tlstra in confidnc Ovrviw Australia s gographical siz and population dnsity

More information

AP Calculus AB 2008 Scoring Guidelines

AP Calculus AB 2008 Scoring Guidelines AP Calculus AB 8 Scoring Guidlins Th Collg Board: Conncting Studnts to Collg Succss Th Collg Board is a not-for-profit mmbrship association whos mission is to connct studnts to collg succss and opportunity.

More information

E X C H A N G E R U L E S A N D C L E A R I N G R U L E S O F N A S D A Q O M X D E R I V A T I V E S M A R K E T S

E X C H A N G E R U L E S A N D C L E A R I N G R U L E S O F N A S D A Q O M X D E R I V A T I V E S M A R K E T S E X C H A N G E R U L E S A N D C L E A R I N G R U L E S O F N A S D A Q O M X D E R I V A T I V E S M A R K E T S Fair Valu 1 Valuation Variabls Tabl 1 blow shows th variabls us in th rspctiv valuation

More information

Do Not Cut, Fold, or Staple Forms on This Page Do Not Cut, Fold, or Staple Forms on This Page

Do Not Cut, Fold, or Staple Forms on This Page Do Not Cut, Fold, or Staple Forms on This Page 22222 Vi b Emplyr intificatin numbr (EIN) a Emply s scial scurity numbr Fr Official Us Only OMB N. 1545-0008 1 Wags, tips, thr cmpnsatin 2 Fral incm tax withhl c Emplyr s nam, arss, an ZIP c 3 Scial scurity

More information

Fundamentals: NATURE OF HEAT, TEMPERATURE, AND ENERGY

Fundamentals: NATURE OF HEAT, TEMPERATURE, AND ENERGY Fundamntals: NATURE OF HEAT, TEMPERATURE, AND ENERGY DEFINITIONS: Quantum Mchanics study of individual intractions within atoms and molculs of particl associatd with occupid quantum stat of a singl particl

More information

STANDARD OPERATING PROCEDURE

STANDARD OPERATING PROCEDURE DEPARTMENT F ADMINISTRATIN DIVISIN F PERSNNEL/EE STANDARD PERATING PRCEDURE I. STANDARDS FR PREPARING STANDARD PERATING PRCEDURES A. P B. Sc Th f thi ti (SP) i t vi uili Divii f Pl/EE tff i i, umbi, itibuti

More information

DIRECT DATA EXPORT (DDE) USER GUIDE

DIRECT DATA EXPORT (DDE) USER GUIDE 2 ND ANNUAL PSUG-NJ CONFERNCE PSUG-NJ STUDENT MANAGEMENT SYSTEM DIRECT DATA EXPORT (DDE) USER GUIDE VERSION 7.6+ APRIL, 2013 FOR USE WITH POWERSCHOOL PREMIER VERSION 7.6+ Prepared by: 2 TABLE OF CONTENTS

More information

Rehabilitation Psychology Minimum Degree Requirements and Satisfactory Progress Chart March 2014

Rehabilitation Psychology Minimum Degree Requirements and Satisfactory Progress Chart March 2014 Rehabilitatin Psychlgy Minimum Degree Requirements and Satisfactry Prgress Chart March 2014 Rehabilitatin Psychlgy Master s Degree: M.S. Rehabilitatin Psychlgy Minimum Graduate Degree Credit Requirement

More information

Escola Federal de Engenharia de Itajubá

Escola Federal de Engenharia de Itajubá Escola Federal de Egeharia de Itajubá Departameto de Egeharia Mecâica Pós-Graduação em Egeharia Mecâica MPF04 ANÁLISE DE SINAIS E AQUISÇÃO DE DADOS SINAIS E SISTEMAS Trabalho 02 (MATLAB) Prof. Dr. José

More information

see more details on what s included in each plan below

see more details on what s included in each plan below see mre details n what s included in each plan belw Initial Website Analysis & SEO reprt with priritized recmmendatins. Based n website audit, initial Mz Analytics crawl, Ggle Analytics data, Webmaster

More information

Outside Cut 1 of fabric Cut 1 of interfacing

Outside Cut 1 of fabric Cut 1 of interfacing a a Outsi Cut o abric Cut o intracing a a b b Outsi Cut o abric Cut o intracing Placmnt lin or Mony Pockts Dix Not: F. Cut Fol b. Pin t /8 in 5. Nx bottom pics sw th 6. For t Prss, 7. Lay togth on th 8.

More information

5 2 index. e e. Prime numbers. Prime factors and factor trees. Powers. worked example 10. base. power

5 2 index. e e. Prime numbers. Prime factors and factor trees. Powers. worked example 10. base. power Prim numbrs W giv spcial nams to numbrs dpnding on how many factors thy hav. A prim numbr has xactly two factors: itslf and 1. A composit numbr has mor than two factors. 1 is a spcial numbr nithr prim

More information

The Hydrogen Balmer Series and Rydberg Constant

The Hydrogen Balmer Series and Rydberg Constant ad Rydbrg Costat by Dr. Jams E. Parks Dpartmt of Physics ad Astroomy 401 Nils Physics Buildig Th Uivrsity of Tss Koxvill, Tss 37996-100 Copyright March 00 by Jams Edgar Parks* *All rights ar rsrvd. No

More information

Term Structure of Interest Rates: The Theories

Term Structure of Interest Rates: The Theories Handou 03 Econ 333 Abdul Munasb Trm Srucur of Inrs Ras: Th Thors Trm Srucur Facs Lookng a Fgur, w obsrv wo rm srucur facs Fac : Inrs ras for dffrn maurs nd o mov oghr ovr m Fac : Ylds on shor-rm bond mor

More information

Financial Mathematics

Financial Mathematics Financial Mathatics A ractical Guid for Actuaris and othr Businss rofssionals B Chris Ruckan, FSA & Jo Francis, FSA, CFA ublishd b B rofssional Education Solutions to practic qustions Chaptr 7 Solution

More information

Use a high-level conceptual data model (ER Model). Identify objects of interest (entities) and relationships between these objects

Use a high-level conceptual data model (ER Model). Identify objects of interest (entities) and relationships between these objects Chaptr 3: Entity Rlationship Modl Databas Dsign Procss Us a high-lvl concptual data modl (ER Modl). Idntify objcts of intrst (ntitis) and rlationships btwn ths objcts Idntify constraints (conditions) End

More information

The scattering of light may be thought of as the redirection of light that takes place when

The scattering of light may be thought of as the redirection of light that takes place when D.W.H. July 009 Itrducti Light Scatterig Thery David W. Hah Departmet f Mechaical ad Aerspace Egieerig Uiversity f Flrida (dwhah@ufl.edu) The terig f light may be thught f as the redirecti f light that

More information

For a quick review on any of the above options, scroll down to review the desired update in this latest updates document.

For a quick review on any of the above options, scroll down to review the desired update in this latest updates document. Latest Update Dcument Accunts Payable Versin 2014.3.9.1 The fllwing updates are included in this dcument: Backup Withhlding Optin t Print r Nt Print Direct Depsit Reciepts Optin t Print r Nt Print ACH

More information

New 3.8% Medicare Tax on "Unearned" Net Investment Income

New 3.8% Medicare Tax on Unearned Net Investment Income New 3.8% Medicare Tax n "Unearned" Net Investment Incme Net investment incme- Incme received frm investment assets such as bnds, stcks, mutual funds, lans and ther investments Capital gain- When a capital

More information

HIGH CREDIT OR LIMIT BALANCE $230000 MTG $120000 360 $975 $28626 069 $533 $31206 AUTO $4000 REV $228 MIN $10

HIGH CREDIT OR LIMIT BALANCE $230000 MTG $120000 360 $975 $28626 069 $533 $31206 AUTO $4000 REV $228 MIN $10 32065 TL URT UIT 300, VRGRN, 80439 Phone: 3036707993 Fax: 3036708067 MRGD INFIL RDIT RPRT Reporting ureau certifies compliance contractual requirements governing check of public records with these results.

More information

Infinite Sequences and Series

Infinite Sequences and Series CHAPTER 4 Ifiite Sequeces ad Series 4.1. Sequeces A sequece is a ifiite ordered list of umbers, for example the sequece of odd positive itegers: 1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23, 25, 27, 29...

More information

Coordinates. Definition of terms

Coordinates. Definition of terms Crdinates Definitin f terms C Lcal crdinates C Gegraphical C Latitude - angular measurement f a lcatin n Earth frm the equatr C Lngitude - angular measurement f a lcatin n Earth frm the Prime Meridian

More information

Section 8.3 : De Moivre s Theorem and Applications

Section 8.3 : De Moivre s Theorem and Applications The Sectio 8 : De Moivre s Theorem ad Applicatios Let z 1 ad z be complex umbers, where z 1 = r 1, z = r, arg(z 1 ) = θ 1, arg(z ) = θ z 1 = r 1 (cos θ 1 + i si θ 1 ) z = r (cos θ + i si θ ) ad z 1 z =

More information

TIME VALUE OF MONEY: APPLICATION AND RATIONALITY- AN APPROACH USING DIFFERENTIAL EQUATIONS AND DEFINITE INTEGRALS

TIME VALUE OF MONEY: APPLICATION AND RATIONALITY- AN APPROACH USING DIFFERENTIAL EQUATIONS AND DEFINITE INTEGRALS MPRA Muich Prsoal RPEc Archiv TIME VALUE OF MONEY: APPLICATION AND RATIONALITY- AN APPROACH USING DIFFERENTIAL EQUATIONS AND DEFINITE INTEGRALS Mahbub Parvz Daffodil Itratioal Uivrsy 6. Dcmbr 26 Oli at

More information

Fixed vs. Variable Interest Rates

Fixed vs. Variable Interest Rates Fixed vs. Variable Interest Rates Understanding the Advantages and Disadvantages f Each Rate Type When shpping fr financial prducts, there are a lt f factrs t cnsider. Much has changed in the financial

More information

SPECIAL VOWEL SOUNDS

SPECIAL VOWEL SOUNDS SPECIAL VOWEL SOUNDS Plas consult th appropriat supplmnt for th corrsponding computr softwar lsson. Rfr to th 42 Sounds Postr for ach of th Spcial Vowl Sounds. TEACHER INFORMATION: Spcial Vowl Sounds (SVS)

More information

INFLUENCE OF DEBT FINANCING ON THE EFFECTIVENESS OF THE INVESTMENT PROJECT WITHIN THE MODIGLIANIMILLER THEORY

INFLUENCE OF DEBT FINANCING ON THE EFFECTIVENESS OF THE INVESTMENT PROJECT WITHIN THE MODIGLIANIMILLER THEORY VOUME 2, 2 NFUENCE OF DEBT FNANCNG ON THE EFFECTVENE OF THE NVETMENT PROJECT WTHN THE MODGANMER THEORY Pr Brusov, Taaa Flaova, Naal Orhova, Pavl Brusov, Nasa Brusova Fac Uvrsy ur h Govrm of h Russa Frao,

More information

4.8. Set Operations. There are five main set theoretic operations, one corresponding to each of the logical connectives. Name

4.8. Set Operations. There are five main set theoretic operations, one corresponding to each of the logical connectives. Name 4.8. Set Operatins There are five main set theretic peratins, ne crrespnding t each f the lgical cnnectives. Set Operatin Name Lgical nnective Name mplement ~ P Negatin «Unin P Q Disjunctin» Intersectin

More information

Problem Set 2 Solution

Problem Set 2 Solution Due: April 8, 2004 Sprig 2004 ENEE 426: Cmmuicati Netwrks Dr. Naraya TA: Quag Trih Prblem Set 2 Sluti 1. (3.57) A early cde used i radi trasmissi ivlved usig cdewrds that csist biary bits ad ctai the same

More information

Magic Message Maker Amaze your customers with this Gift of Caring communication piece

Magic Message Maker Amaze your customers with this Gift of Caring communication piece Magic Mssag Makr maz your customrs with this Gift of aring communication pic Girls larn th powr and impact of crativ markting with this attntion grabbing communication pic that will hlp thm o a World of

More information

How many determinations do I need? September 2013

How many determinations do I need? September 2013 Hw many determinatins d I need? September 2013 Hw Many Determinatins?: Fr cmpliance purpses, a gd rule f thumb is: Every single family residence requires its wn Fld Cert, there are, f curse, a few lphles

More information

Examples of Credit for Taxes Paid to Other States (For discussion purposes Omaha, NE)

Examples of Credit for Taxes Paid to Other States (For discussion purposes Omaha, NE) Examples f Credit fr Taxes Paid t Other States (Fr discussin purpses Omaha, NE) 1. "Similar Taxes" Examples Scenari 1 State A impses a 5% mtr vehicle excise tax n sales f mtr vehicles. Fr mtr vehicle sales

More information

Category 7: Employee Commuting

Category 7: Employee Commuting 7 Catgory 7: Employ Commuting Catgory dscription This catgory includs missions from th transportation of mploys 4 btwn thir homs and thir worksits. Emissions from mploy commuting may aris from: Automobil

More information

Research Findings from the West Virginia Virtual School Spanish Program

Research Findings from the West Virginia Virtual School Spanish Program Research Findings frm the West Virginia Virtual Schl Spanish Prgram Funded by the U.S. Department f Educatin Cnducted by R0cKMAN ETAL San Francisc, CA, Chicag, IL, and Blmingtn, IN Octber 4, 2006 R0cKMAN

More information

THE UNEARNED NO CLAIM BONUS. C. P. WELTEN Amsterdam

THE UNEARNED NO CLAIM BONUS. C. P. WELTEN Amsterdam THE UNEARNED NO CLAIM BONUS C. P. WELTEN Amsterdam I. The claims experience f a mtrcar insurance is assumed t give sme indicatin abut the risk (basic claim frequency) f that insurance. The experience rating

More information

YOUR MATARIKI KETE PRIMARY EDITION. Learn about Matariki. How do you find it in the sky and why is it important?

YOUR MATARIKI KETE PRIMARY EDITION. Learn about Matariki. How do you find it in the sky and why is it important? YOUR MATARIKI KETE Larn about Matariki. How do you find it in th sky and why is it important? 2016 PRIMARY EDITION Includs a comptition and pull-out postr. WHAT IS MATARIKI? Matariki is a clustr of svn

More information

Parallel and Distributed Programming. Performance Metrics

Parallel and Distributed Programming. Performance Metrics Paralll and Distributd Programming Prformanc! wo main goals to b achivd with th dsign of aralll alications ar:! Prformanc: th caacity to rduc th tim to solv th roblm whn th comuting rsourcs incras;! Scalability:

More information

H ig h L e v e l O v e r v iew. S te p h a n M a rt in. S e n io r S y s te m A rc h i te ct

H ig h L e v e l O v e r v iew. S te p h a n M a rt in. S e n io r S y s te m A rc h i te ct H ig h L e v e l O v e r v iew S te p h a n M a rt in S e n io r S y s te m A rc h i te ct OPEN XCHANGE Architecture Overview A ge nda D es ig n G o als A rc h i te ct u re O ve rv i ew S c a l a b ili

More information

2 1k 0 3k 2 0 1 4 S 5 7 P a s t w a c z ł o n k o w s k i e - Z a m ó w i e n i e p u b l i c z n e n a u s ł u g- i O g ł o s z e n i e o d o b r o w o l n e j p r z e j r z y s t o c i e x - a nnt e

More information

[ ] These are the motor parameters that are needed: Motor voltage constant. J total (lb-in-sec^2)

[ ] These are the motor parameters that are needed: Motor voltage constant. J total (lb-in-sec^2) MEASURING MOOR PARAMEERS Fil: Motor paramtrs hs ar th motor paramtrs that ar ndd: Motor voltag constant (volts-sc/rad Motor torqu constant (lb-in/amp Motor rsistanc R a (ohms Motor inductanc L a (Hnris

More information

Applicant: JOSEPH M TESTCASE Experian TransUnion Equifax. Bureau Scores 622 627 614. Credit Analyzer Module Rapid Rescore Rapid Rescore Rapid Rescore

Applicant: JOSEPH M TESTCASE Experian TransUnion Equifax. Bureau Scores 622 627 614. Credit Analyzer Module Rapid Rescore Rapid Rescore Rapid Rescore https://ucsmeridianlinkcom/shared/reports/print_htmaspx?reporttype=prq&orderid=3536464 Potential Score Improvement File#: 3536464 Date: Company: Universal Credit Applicant: JSPH M TSTCAS xperian TransUnion

More information

Assessing the cost of Outsourcing: Efficiency, Effectiveness and Risk

Assessing the cost of Outsourcing: Efficiency, Effectiveness and Risk Assssig th cost of Outsourcig: Efficicy, Effctivss ad Risk Todd Littl Ladark Graphics tlittl@lgc.co Abstract Offshor outsourcig is a popular approach for copais lookig to rduc softwar dvlopt costs. W hav

More information

. P. 4.3 Basic feasible solutions and vertices of polyhedra. x 1. x 2

. P. 4.3 Basic feasible solutions and vertices of polyhedra. x 1. x 2 4. Basic feasible solutios ad vertices of polyhedra Due to the fudametal theorem of Liear Programmig, to solve ay LP it suffices to cosider the vertices (fiitely may) of the polyhedro P of the feasible

More information

Student Learning Objectives Assessment Report Criminal Justice Program. June 1, 2015

Student Learning Objectives Assessment Report Criminal Justice Program. June 1, 2015 Student Learning Objectives Assessment Reprt Criminal Justice Prgram June 1, 2015 Objectives & Curriculum Objective Mapping See attached revised Criminal Justice Assessment Mapping Tl (revised Spring 2014)

More information

Academy of Geriatric Physical Therapy Outstanding PT & PTA Student Awards

Academy of Geriatric Physical Therapy Outstanding PT & PTA Student Awards Academy f Geriatric Physical Therapy Outstanding PT & PTA Student Awards Purpse T identify a student physical therapist (SPT) and student physical therapist assistant (SPTA) with exceptinal schlastic ability

More information

Consolidated Results - 1 st Half 2014

Consolidated Results - 1 st Half 2014 SAG GEST Sluções Autmóvel Glbais, SGPS, SA Listed Cmpany Estrada de Alfragide, nº 67, Amadra Registered Share Capital: 169,764,398 eurs Registered at the Amadra Registrar f Cmpanies under the single registratin

More information

SCO TT G LEA SO N D EM O Z G EB R E-

SCO TT G LEA SO N D EM O Z G EB R E- SCO TT G LEA SO N D EM O Z G EB R E- EG Z IA B H ER e d it o r s N ) LICA TIO N S A N D M ETH O D S t DVD N CLUDED C o n t e n Ls Pr e fa c e x v G l o b a l N a v i g a t i o n Sa t e llit e S y s t e

More information

The example is taken from Sect. 1.2 of Vol. 1 of the CPN book.

The example is taken from Sect. 1.2 of Vol. 1 of the CPN book. Rsourc Allocation Abstract This is a small toy xampl which is wll-suitd as a first introduction to Cnts. Th CN modl is dscribd in grat dtail, xplaining th basic concpts of C-nts. Hnc, it can b rad by popl

More information

Capstone College of Nursing Area Pages

Capstone College of Nursing Area Pages Capstone College of Nursing Area Pages Course equivalents for junior and community colleges in the state of Alabama. Area I: Composition EN 101 ENG 101 EN 102 ENG 102 Area II: Humanities and Fine Arts

More information

London Borough of Hounslow

London Borough of Hounslow Ld Brugh f Huslw Applicati fr a premises licece t be grated uder the Licesig Act 2003 PLEASE READ THE FOLLOWIG ISTRUCTIOS FIRST Befre cmpletig this frm please read the guidace tes at the ed f the frm.

More information

Our aim is to show that under reasonable assumptions a given 2π-periodic function f can be represented as convergent series

Our aim is to show that under reasonable assumptions a given 2π-periodic function f can be represented as convergent series 8 Fourier Series Our aim is to show that uder reasoable assumptios a give -periodic fuctio f ca be represeted as coverget series f(x) = a + (a cos x + b si x). (8.) By defiitio, the covergece of the series

More information

UTAH CPA EDUCATION CHECKLIST Education Requirements to Qualify a Candidate to Sit for the CPA Examination in Utah

UTAH CPA EDUCATION CHECKLIST Education Requirements to Qualify a Candidate to Sit for the CPA Examination in Utah UTAH CPA EDUCATION CHECKLIST Educatin Requirements t Qualify a Candidate t Sit fr the CPA Examinatin in Utah REFERENCE SITES: Divisin f Occupatinal and Prfessinal Licensing (DOPL) http://www.dpl.utah.gv

More information

TeamSnap Media Kit www.teamsnap.com/media.php media@teamsnap.com

TeamSnap Media Kit www.teamsnap.com/media.php media@teamsnap.com TeamSnap Media Kit www.teamsnap.cm/media.php media@teamsnap.cm TeamSnap is the #1 mbile app and web applicatin fr managing recreatinal and cmpetitive sprts teams, grups, leagues, clubs and ther rganizatins.

More information