Angle Modulation: NB (Sinusoid)

Size: px
Start display at page:

Download "Angle Modulation: NB (Sinusoid)"

Transcription

1 gle Moulaio: NB Siuoi I uay, i he eage igal i a pue iuoi, ha i, a a i o o PM o FM The, i whee a p a o PM o FM : pea equey eviaio Noe ha i ow a oulaio ie o agle oulaio a i he aiu value o phae eviaio o boh PM a FM. I i oly eie o iuoial oulaio. I ha a bawih o W B, he NB agle-oulae igal will have a bawih o W B. ERG30-II p. II-60

2 ERG30-II p. II-6 gle Moulaio: Siuoi { } e e i Re i o The epoeial i a peioi uio o ie wih a uaeal equey o a/e. I a be epae i a Fouie eie. e e i e i whee e e i i y y e Seig y, he whee i he Beel uio o he i i o oe a ague. e e e o Re Re

3 gle Moulaio: Siuoi Beel uio o he i i o oe a ague :. ERG30-II p. II-6

4 ERG30-II p. II-63 gle Moulaio: Siuoi LL 3 o 3 o o o o o o o o eve Spea

5 gle Moulaio: Siuoi o Whe a all ohe ae zeo Oly he aie o oulaio, o ieba The peu oi o aie-equey opoe plu a iiie ube o ieba opoe a equeie ±,,3,. The elaive apliue o he peal lie epe o he value o, a he value o beoe vey all o lage value o. The ube o igiia peal lie ha i, havig appeiable elaive apliue i a uio o he oulaio ie. Wih <<, oly 0 a ae igiia, o he peu will oi o aie a wo ieba lie. Bu i >>, hee will be ay ieba lie. ERG30-II p. II-64

6 ERG30-II p. II-65 gle Moulaio: Siuoi Coie he aveage powe o o o o o Q Thu he aveage powe iipae by he agle-oulae igal ove a -oh eio i P

7 gle Moulaio: Bawih o The bawih o he agle-oulae igal wih iuoial oulaio epe o a. I piiple, he ube o ieba i iiie he equie bawih o eopa uh a igal i alo iiie. I paie, lage poio o he oal powe i oie o a iie ube o ieba iie bawih o eiou ioio o he igal eul i he ieba ouie hi bawih ae lo. Epeie how ha a log a oe ha 98% o he oal igal powe i eaie wihi a eai bawih ae a ile/hael, he ioio i oleable. ERG30-II p. II-66

8 ERG30-II p. II-67 gle Moulaio: Bawih [ ] L Sigle uelie: >70% powe oie; ouble uelie: >98% powe oie Table o Beel uio

9 gle Moulaio: Bawih FM o WB Naowba FM Fo all << oly 0 a ae igiia, o he peu will oi o aie a wo ieba lie. WB M M Fo, he peu, whih oie >98% o oal powe, will oi o aie a oe ieba lie, o he able o Beel uio, we obeve > 98 % Thu, o W B Fo vey lage >>, WB o Thu, Wieba FM WB ERG30-II p. II-68

10 gle Moulaio: Bawih FM,PM Reall: a p a o PM o FM FM PM << WB WB WB WB >> WB WB Coie a oa, o hage o PM o FM ; W B o PM lighly o o hage o FM ERG30-II p. II-69

11 gle Moulaio: Lie Spea o FM o Coa Coa ERG30-II p. II-70

12 gle Moulaio: biay The oulaio ie i oly eie o iuoial eage igal Fo abiay eage igal, whih i baliie o M, we eie D pea equey eviaio bawih o M Bawih W B D M I D<<, he WB M I D>>, he W B ERG30-II p. II-7

13 gle Moulaio: Eaple Eaple: Coie a agle-oulae igal 0o[0 8 5i0 3 ]. Fi he aiu phae eviaio a aiu equey eviaio. Soluio: a 8 3 θ 0 5i 0 5i 0 ' o 0 3 Thu, aiu phae eviaio i a 5 a; aiu equey eviaio i a 50 3 a/ 0 4 a/ o 5Hz ERG30-II p. II-7

14 gle Moulaio: Eaple Eaple: Coie a agle-oulae igal 0o 3i ]. ue PM a Hz, PM o[ p ] 0 o 3i Wih a i PM 0 o pa i Thu, he oulaio ie p a 3 a bawih Whe i ouble, Hz, 3, a hu bawih W B 36Hz Whe i halve, 0.5Hz, 3, a hu bawih W B 30.54Hz ue FM a Hz, FM o[ τ τ ] 0 o 3i 0 a Wih a o FM 0 o i p Thu, he oulaio ie a 3 a bawih WB 8Hz Whe i ouble, Hz, 3/, a hu bawih W B 3/0Hz W B 8 Whe i halve, 0.5Hz, 6, a hu bawih W B 60.57Hz Hz ERG30-II p. II-73

15 gle Moulaio: Geeaio Geeaio o aowba agle-oulae igal: NBPM: NBFM: NBPM o i -/ NBFM o p p i 0 - NBPM o τ τ i i -/ - o NBFM ERG30-II p. II-74

16 gle Moulaio: Geeaio Geeaio o wieba agle-oulae igal: Iie Meho: - poue a aowba agle-oulae igal i; - ove o wieba igal by uig equey uliplie NB o[ ] Fequey uliplie WB o[ ] Fo eaple, he ipu-oupu haaeii o a ieal quae-law evie i vo av. I he ipu igal i he FM igal, v o i, i i he oupu i v o a o / a i / a o i equey ouble igal Siilaly, ue o a h law evie ollowe by a ile yiel a aie a a oulaio ie ha have bee ieae by a ao o. ERG30-II p. II-75

17 gle Moulaio: Geeaio Ue o equey ulipliaio ieae he aie o he FM igal a well a he oulaio ie vey high aie equeie To avoi hi, equey ovee i eeay o hi ow he aie equey. NBFM igal WBFM igal NBFM, Fequey uliplie, BPF ERG30-II p. II-76

18 gle Moulaio: Geeaio Eaple: Coie a NBFM igal pae hough a equey uliplie. o i Wih <0.5 a 00Hz. Le age o 50Hz o 5Hz, a le he aiu equey eviaio a he oupu be 75Hz. Fi he equie equey ulipliaio a he aiu allowe equey eviaio a he ipu. Soluio: Uig, hu i a I 0.5, whee i he ipu, he he equie equey ulipliaio i a 500 a The aiu allowe equey eviaio a he ipu, eoe, i Hz 3000 ERG30-II p. II-77

19 gle Moulaio: Geeaio Die Meho: - he oulaig eage igal iely ool he aie equey oo eho ue i o vay he iuae o apaiae o a ue eleoi oillao, e.g. Volage-oolle Oillao VCO. Coie a LC iui, i L o a C o ae he iiial iuae a apaiae, epeively wihou ay applie igal, he equey o oillaio i L C I he apaiae C i vaie aoig o he eage igal, The C C ; a o o o LoC Lo[ Co ] LoCo C o C o ERG30-II vaage: lage equey eviaio poible Diavaage: aie equey will i ee equey abilizaio iui p. II-78

20 gle Moulaio: Deoulaio Deoulaio: To povie a oupu igal whoe apliue i liealy popoioal o he iaaeou equey o he ipu agle-oulae igal. Die Meho: To ue a ye ha ha a liea equey-o-volage ae haaeii. Suh a ye i alle a equey iiiao. Coepually, ieeiao wih a liea apliue veu equey haaeii a be ue a equey iiiao. Oupu volage Ipu equey ERG30-II equey iiiao Ieal iiiao haaeii p. II-79

21 gle Moulaio: Deoulaio Fo a geeal FM igal: FM o τ τ 0 uig ha i a oa, we have e [ ]i τ τ 0 I <<, i aeble o a M igal whoe evelope i D a whoe iaaeou agula equey i The eulig M igal a be eee by a evelope eeo a he ligh vaiaio i he aie equey woul o be eeable by he evelope eeo a log a <<. ERG30-II p. II-80

22 gle Moulaio: Deoulaio Eaple: FM igal,, i applie o a RC iui a how: C R v Tae epoe o he RC iui: Fo << ; he RC Fo he oupu v H RC h H R R C RC RC V S H S RC Reall he popey o Fouie ao: F Thu, v RC [ ] So, he uio o hi iui a a a ieeiao a he evelope o he oupu i popoioal o he eage igal eoulae. ERG30-II p. II-8

23 gle Moulaio: Deoulaio RC iui a ieeiao ERG30-II p. II-8

24 ERG30-II p. II-83 gle Moulaio: Deoulaio FM Deoulaio by Phae-Loe Loop PLL Loop ile h Volageoolle oillao e v [ ] 0 o τ τ whee [ ] v 0 i τ τ whee [ ] [ ] ile oupu i i e [ ] { } [ ] { } * ] i h v whee [ o all h * h * H V Φ Tae Fouie ao o boh ie,

25 ERG30-II p. II-84 gle Moulaio: Deoulaio v 0 τ τ V V Φ Φ Φ Φ H V Φ Tae Fouie ao o boh ie, Subiue io give H L L L V H V H H V V Φ Φ Φ o v

26 ERG30-II p. II-85 gle Moulaio: Deoulaio >> Φ Φ L o V H L L L V o v Tae ivee Fouie ao o boh ie, So, he PLL a a a ieeiao a he oupu v i popoioal o he eage igal. v 0 τ τ Q

27 ERG30-II p. II-86 gle Moulaio: Deoulaio FM Deoulaio by zeo-oig eeo o o 0 FM θ τ τ Le a > eoe he ie aoiae wih wo aae zeo oig o uh ha 0 Thu, τ τ θ θ τ τ Wih ] [

28 ERG30-II p. II-87 gle Moulaio: Deoulaio Le N eoe he ube o zeo oig o i ie T a,, 3, eoe he ie o zeo-oig wih T -, T 3 -,. Thu, T T T T N Uig he eul i i T N T N N T N i T,,3,..., T o give M T T << < M : Bawih o eue hee ae zeo oig wihi ie T eue o eeive aveagig o oohig o

29 gle Moulaio: FM Reeive I i iila o he M upeheeoye eeive wih he eepio o he aiio o a iiiao a poibly a liie. Coeial FM aio 75Hz ERG30-II p. II-88

X-Ray Notes, Part III

X-Ray Notes, Part III oll 6 X-y oe 3: Pe X-Ry oe, P III oe Deeo Coe oupu o x-y ye h look lke h: We efe ue of que lhly ffee efo h ue y ovk: Co: C ΔS S Sl o oe Ro: SR S Co o oe Ro: CR ΔS C SR Pevouly, we ee he SR fo ye hv pxel

More information

ELG3175 Introduction to Communication Systems. Angle Modulation Continued

ELG3175 Introduction to Communication Systems. Angle Modulation Continued ELG3175 Iroduio o Couiaio Sye gle Modulaio Coiued Le araériique de igaux odulé e agle PM Sigal M Sigal Iaaeou phae i Iaaeou requey Maxiu phae deviaio D ax Maxiu requey deviaio D ax Power p p p x où 0 d

More information

Consider a Binary antipodal system which produces data of δ (t)

Consider a Binary antipodal system which produces data of δ (t) Modulaion Polem PSK: (inay Phae-hi keying) Conide a inay anipodal yem whih podue daa o δ ( o + δ ( o inay and epeively. Thi daa i paed o pule haping ile and he oupu o he pule haping ile i muliplied y o(

More information

Physics 232 Exam II Mar. 28, 2005

Physics 232 Exam II Mar. 28, 2005 Phi 3 M. 8, 5 So. Se # Ne. A piee o gl, ide o eio.5, h hi oig o oil o i. The oil h ide o eio.4.d hike o. Fo wh welegh, i he iile egio, do ou ge o eleio? The ol phe dieee i gie δ Tol δ PhDieee δ i,il δ

More information

The Non-Truncated Bulk Arrival Queue M x /M/1 with Reneging, Balking, State-Dependent and an Additional Server for Longer Queues

The Non-Truncated Bulk Arrival Queue M x /M/1 with Reneging, Balking, State-Dependent and an Additional Server for Longer Queues Alied Maheaical Sciece Vol. 8 o. 5 747-75 The No-Tucaed Bul Aival Queue M x /M/ wih Reei Bali Sae-Deede ad a Addiioal Seve fo Loe Queue A. A. EL Shebiy aculy of Sciece Meofia Uiveiy Ey elhebiy@yahoo.co

More information

Supplementary Information

Supplementary Information Supplemeay Ifomaio No-ivasive, asie deemiaio of he coe empeaue of a hea-geeaig solid body Dea Ahoy, Daipaya Saka, Aku Jai * Mechaical ad Aeospace Egieeig Depame Uivesiy of Texas a Aligo, Aligo, TX, USA.

More information

Coupled Mass Transport and Reaction in LPCVD Reactors

Coupled Mass Transport and Reaction in LPCVD Reactors ople Ma Tanpo an eaion in LPV eao ile A in B e.g., SiH 4 in H Sepaae eao ino o egion, inaafe & annla b - oniniy Eqn: : onveion-iffion iffion-eaion Eqn Ampion! ile peie i in majo aie ga e.g., H isih 4!

More information

FBD of SDOF Base Excitation. 2.4 Base Excitation. Particular Solution (sine term) SDOF Base Excitation (cont) F=-(-)-(-)= 2ζω ωf

FBD of SDOF Base Excitation. 2.4 Base Excitation. Particular Solution (sine term) SDOF Base Excitation (cont) F=-(-)-(-)= 2ζω ωf .4 Base Exiaio Ipoa lass of vibaio aalysis Peveig exiaios fo passig fo a vibaig base hough is ou io a suue Vibaio isolaio Vibaios i you a Saellie opeaio Dis dives, e. FBD of SDOF Base Exiaio x() y() Syse

More information

M-ary Detection Problem. Lecture Notes 2: Detection Theory. Example 1: Additve White Gaussian Noise

M-ary Detection Problem. Lecture Notes 2: Detection Theory. Example 1: Additve White Gaussian Noise Hi ue Hi ue -ay Deecio Pole Coide he ole of decidig which of hyohei i ue aed o oevig a ado vaiale (veco). he efoace cieia we coide i he aveage eo oailiy. ha i he oailiy of decidig ayhig ece hyohei H whe

More information

ON THE EXTENSION OF WEAK ARMENDARIZ RINGS RELATIVE TO A MONOID

ON THE EXTENSION OF WEAK ARMENDARIZ RINGS RELATIVE TO A MONOID wwweo/voue/vo9iue/ijas_9 9f ON THE EXTENSION OF WEAK AENDAIZ INGS ELATIVE TO A ONOID Eye A & Ayou Eoy Dee of e Nowe No Uvey Lzou 77 C Dee of e Uvey of Kou Ou Su E-: eye76@o; you975@yooo ABSTACT Fo oo we

More information

Valley Forge Middle School Fencing Project Facilities Committee Meeting February 2016

Valley Forge Middle School Fencing Project Facilities Committee Meeting February 2016 Valley Forge iddle chool Fencing roject Facilities ommittee eeting February 2016 ummer of 2014 Installation of Fencing at all five istrict lementary chools October 2014 Facilities ommittee and

More information

LIPSCHITZ ESTIMATES FOR MULTILINEAR COMMUTATOR OF MARCINKIEWICZ OPERATOR

LIPSCHITZ ESTIMATES FOR MULTILINEAR COMMUTATOR OF MARCINKIEWICZ OPERATOR Reseh d ouiios i heis d hei Siees Vo. Issue Pges -46 ISSN 9-699 Puished Oie o Deee 7 Joi Adei Pess h://oideiess.e IPSHITZ ESTIATES FOR UTIINEAR OUTATOR OF ARINKIEWIZ OPERATOR DAZHAO HEN Dee o Siee d Ioio

More information

African Journal of Science and Technology (AJST) Science and Engineering Series Vol. 4, No. 2, pp GENERALISED DELETION DESIGNS

African Journal of Science and Technology (AJST) Science and Engineering Series Vol. 4, No. 2, pp GENERALISED DELETION DESIGNS Af Joul of See Tehology (AJST) See Egeeg See Vol. 4, No.,. 7-79 GENERALISED DELETION DESIGNS Mhel Ku Gh Joh Wylff Ohbo Dee of Mhe, Uvey of Nob, P. O. Bo 3097, Nob, Key ABSTRACT:- I h e yel gle ele fol

More information

Physics 232 Exam I Feb. 13, 2006

Physics 232 Exam I Feb. 13, 2006 Phsics I Fe. 6 oc. ec # Ne..5 g ss is ched o hoizol spig d is eecuig siple hoic oio. The oio hs peiod o.59 secods. iiil ie i is oud o e 8.66 c o he igh o he equiliiu posiio d oig o he le wih eloci o sec.

More information

Simple Methods for Stability Analysis of Nonlinear Control Systems

Simple Methods for Stability Analysis of Nonlinear Control Systems Poeeig of he Wol Coge o Egieeig Coe Siee 009 Vol II WCECS 009, Ooe 0-, 009, S Fio, USA Sile Meho fo Sili Ali of Nolie Cool Se R. Moek, Mee, IAENG, I. Sv, P. Pivoňk, P. Oe, M. Se A Thee eho fo ili li of

More information

SHINGLETON FOREST AREA Stand Level Information Compartment: 44 Entry Year: 2009

SHINGLETON FOREST AREA Stand Level Information Compartment: 44 Entry Year: 2009 iz y U oy- kg g vg. To. i Ix Mg * "Compm Pk Gloy of Tm" oum lik o wb i fo fuh ipio o fiiio. Coiio ilv. Cii M? Mho Cu Tm. Pio v Pioiy Culul N 1 5 3 13 60 7 50 42 blk pu-wmp ol gowh N 20-29 y (poil o ul)

More information

ME 321 Kinematics and Dynamics of Machines S. Lambert Winter 2002

ME 321 Kinematics and Dynamics of Machines S. Lambert Winter 2002 ME 31 Kiemaic ad Dyamic o Machie S. Lamber Wier 6.. Forced Vibraio wih Dampig Coider ow he cae o orced vibraio wih dampig. Recall ha he goverig diereial equaio i: m && c& k F() ad ha we will aume ha he

More information

Optimization of SiC-based H5 and Conergy-NPC Transformerless PV Inverters

Optimization of SiC-based H5 and Conergy-NPC Transformerless PV Inverters Thi aile ha bee aepe o publiaio i a uue iue o hi joual bu ha o bee ully eie. oe may hae pio o ial publiaio. iaio iomaio: DO 0.09/JESTE.04.5 EEE Joual o Emei a Selee Topi i owe Eleoi Opimizaio o Si-bae

More information

Outline. Review Homework Problem. Review Homework Problem II. Review Dimensionless Problem. Review Convection Problem

Outline. Review Homework Problem. Review Homework Problem II. Review Dimensionless Problem. Review Convection Problem adial diffsio eqaio Febay 4 9 Diffsio Eqaios i ylidical oodiaes ay aeo Mechaical Egieeig 5B Seia i Egieeig Aalysis Febay 4, 9 Olie eview las class Gadie ad covecio boday codiio Diffsio eqaio i adial coodiaes

More information

-HYBRID LAPLACE TRANSFORM AND APPLICATIONS TO MULTIDIMENSIONAL HYBRID SYSTEMS. PART II: DETERMINING THE ORIGINAL

-HYBRID LAPLACE TRANSFORM AND APPLICATIONS TO MULTIDIMENSIONAL HYBRID SYSTEMS. PART II: DETERMINING THE ORIGINAL UPB Sc B See A Vo 72 I 3 2 ISSN 223-727 MUTIPE -HYBRID APACE TRANSORM AND APPICATIONS TO MUTIDIMENSIONA HYBRID SYSTEMS PART II: DETERMININ THE ORIINA Ve PREPEIŢĂ Te VASIACHE 2 Ace co copeeă oă - pce he

More information

New Results on Oscillation of even Order Neutral Differential Equations with Deviating Arguments

New Results on Oscillation of even Order Neutral Differential Equations with Deviating Arguments Advace i Pue Maheaic 9-53 doi: 36/ap3 Pubihed Oie May (hp://wwwscirpog/oua/ap) New Reu o Ociaio of eve Ode Neua Diffeeia Equaio wih Deviaig Ague Abac Liahog Li Fawei Meg Schoo of Maheaica Sye Sciece aiha

More information

Optical flow equation

Optical flow equation Opical Flow Sall oio: ( ad ae le ha piel) H() I(++) Be foce o poible ppoe we ake he Talo eie epaio of I: (Sei) Opical flow eqaio Cobiig hee wo eqaio I he lii a ad go o eo hi becoe eac (Sei) Opical flow

More information

Dividing Algebraic Fractions

Dividing Algebraic Fractions Leig Eheme Tem Model Awe: Mlilig d Diidig Algei Fio Mlilig d Diidig Algei Fio d gide ) Yo e he me mehod o mlil lgei io o wold o mlil meil io. To id he meo o he we o mlil he meo o he io i he eio. Simill

More information

Corrupt the signal waveform Degrade the performance of communication systems

Corrupt the signal waveform Degrade the performance of communication systems Nie Nie : rd luui pwer i ye Crrup he igl wver Degrde he perre uii ye ure Nie: rd wderig ree eler i reir herl ie, rd lw hrge i eidur jui h ie, e. ddiive ie Zer-e Whie Gui-diribued Nie, pwer perl deiy /

More information

Communications II Lecture 4: Effects of Noise on AM. Professor Kin K. Leung EEE and Computing Departments Imperial College London Copyright reserved

Communications II Lecture 4: Effects of Noise on AM. Professor Kin K. Leung EEE and Computing Departments Imperial College London Copyright reserved Commuiaio II Leure 4: Effe of Noie o M Profeor Ki K. Leug EEE ad Compuig Deparme Imperial College Lodo Copyrigh reerved Noie i alog Commuiaio Syem How do variou aalog modulaio heme perform i he preee of

More information

Sharif University of Technology - CEDRA By: Professor Ali Meghdari

Sharif University of Technology - CEDRA By: Professor Ali Meghdari Shaif Univesiy of echnology - CEDRA By: Pofesso Ali Meghai Pupose: o exen he Enegy appoach in eiving euaions of oion i.e. Lagange s Meho fo Mechanical Syses. opics: Genealize Cooinaes Lagangian Euaion

More information

BINOMIAL THEOREM OBJECTIVE PROBLEMS in the expansion of ( 3 +kx ) are equal. Then k =

BINOMIAL THEOREM OBJECTIVE PROBLEMS in the expansion of ( 3 +kx ) are equal. Then k = wwwskshieduciocom BINOMIAL HEOREM OBJEIVE PROBLEMS he coefficies of, i e esio of k e equl he k /7 If e coefficie of, d ems i e i AP, e e vlue of is he coefficies i e,, 7 ems i e esio of e i AP he 7 7 em

More information

Secure Chaotic Spread Spectrum Systems

Secure Chaotic Spread Spectrum Systems Seue Chaoi Sea Seum Sysems Ji Yu WSEAB ECE Deame Seves siue of Tehology Hoboke J 73 Oulie ouio Chaoi SS sigals Seuiy/ efomae ee eeives Biay oelaig eeio Mismah oblem aile-fileig base aoah Dual-aea aoah

More information

Communication Systems Lecture 25. Dong In Kim School of Info/Comm Engineering Sungkyunkwan University

Communication Systems Lecture 25. Dong In Kim School of Info/Comm Engineering Sungkyunkwan University Commuiaio Sysems Leure 5 Dog I Kim Shool o Io/Comm Egieerig Sugkyukwa Uiversiy 1 Oulie Noise i Agle Modulaio Phase deviaio Large SNR Small SNR Oupu SNR PM FM Review o Agle Modulaio Geeral orm o agle modulaed

More information

Lecture 4. Electrons and Holes in Semiconductors

Lecture 4. Electrons and Holes in Semiconductors ecue 4 lec ad Hle i Semicduc I hi lecue yu will lea: eeai-ecmbiai i emicduc i me deail The baic e f euai gveig he behavi f elec ad hle i emicduc Shcley uai Quai-eualiy i cducive maeial C 35 Sig 2005 Faha

More information

MODERN CONTROL SYSTEMS

MODERN CONTROL SYSTEMS MODERN CONTROL SYSTEMS Lecure 9, Sae Space Repreeaio Emam Fahy Deparme of Elecrical ad Corol Egieerig email: emfmz@aa.edu hp://www.aa.edu/cv.php?dip_ui=346&er=6855 Trafer Fucio Limiaio TF = O/P I/P ZIC

More information

Primal and Weakly Primal Sub Semi Modules

Primal and Weakly Primal Sub Semi Modules Aein Inenionl Jounl of Conepoy eeh Vol 4 No ; Jnuy 204 Pil nd Wekly Pil ub ei odule lik Bineh ub l hei Depen Jodn Univeiy of iene nd Tehnology Ibid 220 Jodn Ab Le be ouive eiing wih ideniy nd n -ei odule

More information

rad / sec min rev 60sec. 2* rad / sec s

rad / sec min rev 60sec. 2* rad / sec s EE 559, Exa 2, Spig 26, D. McCalley, 75 iute allowed. Cloed Book, Cloed Note, Calculato Peitted, No Couicatio Device. (6 pt) Coide a.5 MW, 69 v, 5 Hz, 75 p DFG wid eegy yt. he paaete o the geeato ae give

More information

Lesson 5. Chapter 7. Wiener Filters. Bengt Mandersson. r x k We assume uncorrelated noise v(n). LTH. September 2010

Lesson 5. Chapter 7. Wiener Filters. Bengt Mandersson. r x k We assume uncorrelated noise v(n). LTH. September 2010 Optimal Sigal Poceig Leo 5 Chapte 7 Wiee Filte I thi chapte we will ue the model how below. The igal ito the eceive i ( ( iga. Nomally, thi igal i ditubed by additive white oie v(. The ifomatio i i (.

More information

Then the number of elements of S of weight n is exactly the number of compositions of n into k parts.

Then the number of elements of S of weight n is exactly the number of compositions of n into k parts. Geneating Function In a geneal combinatoial poblem, we have a univee S of object, and we want to count the numbe of object with a cetain popety. Fo example, if S i the et of all gaph, we might want to

More information

4/3/2017. PHY 712 Electrodynamics 9-9:50 AM MWF Olin 103

4/3/2017. PHY 712 Electrodynamics 9-9:50 AM MWF Olin 103 PHY 7 Eleodnais 9-9:50 AM MWF Olin 0 Plan fo Leue 0: Coninue eading Chap Snhoon adiaion adiaion fo eleon snhoon deies adiaion fo asonoial objes in iula obis 0/05/07 PHY 7 Sping 07 -- Leue 0 0/05/07 PHY

More information

WORK POWER AND ENERGY Consevaive foce a) A foce is said o be consevaive if he wok done by i is independen of pah followed by he body b) Wok done by a consevaive foce fo a closed pah is zeo c) Wok done

More information

FRACTIONAL MELLIN INTEGRAL TRANSFORM IN (0, 1/a)

FRACTIONAL MELLIN INTEGRAL TRANSFORM IN (0, 1/a) Ieol Jol o Se Reeh Pblo Volme Ie 5 y ISSN 5-5 FRACTIONAL ELLIN INTEGRAL TRANSFOR IN / S.. Kh R..Pe* J.N.Slke** Deme o hem hh Aemy o Egeeg Al-45 Pe I oble No.: 98576F No.: -785759 Eml-mkh@gml.om Deme o

More information

Suggested Solution for Pure Mathematics 2011 By Y.K. Ng (last update: 8/4/2011) Paper I. (b) (c)

Suggested Solution for Pure Mathematics 2011 By Y.K. Ng (last update: 8/4/2011) Paper I. (b) (c) per I. Le α 7 d β 7. The α d β re he roos o he equio, such h α α, β β, --- α β d αβ. For, α β For, α β α β αβ 66 The seme is rue or,. ssume Cosider, α β d α β y deiiio α α α α β or some posiive ieer.

More information

ABSOLUTE INDEXED SUMMABILITY FACTOR OF AN INFINITE SERIES USING QUASI-F-POWER INCREASING SEQUENCES

ABSOLUTE INDEXED SUMMABILITY FACTOR OF AN INFINITE SERIES USING QUASI-F-POWER INCREASING SEQUENCES Available olie a h://sciog Egieeig Maheaics Lees 2 (23) No 56-66 ISSN 249-9337 ABSLUE INDEED SUMMABILIY FACR F AN INFINIE SERIES USING QUASI-F-WER INCREASING SEQUENCES SKAIKRAY * RKJAI 2 UKMISRA 3 NCSAH

More information

EQUATION SHEET Principles of Finance Exam 1

EQUATION SHEET Principles of Finance Exam 1 EQUATION SHEET Piciple of iace Exa INANCIAL STATEMENT ANALYSIS Ne cah flow Ne icoe + Depeciaio ad aoizaio DuPo equaio: ROANe pofi agi Toal ae uove Ne icoe Sale Sale Toal ae DuPo equaio: ROE ROA Equiy uliplie

More information

State-Space Model. In general, the dynamic equations of a lumped-parameter continuous system may be represented by

State-Space Model. In general, the dynamic equations of a lumped-parameter continuous system may be represented by Sae-Space Model I geeral, he dyaic equaio of a luped-paraeer coiuou ye ay be repreeed by x & f x, u, y g x, u, ae equaio oupu equaio where f ad g are oliear vecor-valued fucio Uig a liearized echique,

More information

Exercise: Show that. Remarks: (i) Fc(l) is not continuous at l=c. (ii) In general, we have. yn ¾¾. Solution:

Exercise: Show that. Remarks: (i) Fc(l) is not continuous at l=c. (ii) In general, we have. yn ¾¾. Solution: Exercie: Show ha Soluio: y ¾ y ¾¾ L c Þ y ¾¾ p c. ¾ L c Þ F y (l Fc (l I[c,(l "l¹c Þ P( y c

More information

6.302 Feedback Systems Recitation : Phase-locked Loops Prof. Joel L. Dawson

6.302 Feedback Systems Recitation : Phase-locked Loops Prof. Joel L. Dawson 6.32 Feedback Syem Phae-locked loop are a foundaional building block for analog circui deign, paricularly for communicaion circui. They provide a good example yem for hi cla becaue hey are an excellen

More information

NECESSARY AND SUFFICIENT CONDITIONS FOR NEAR- OPTIMALITY HARVESTING CONTROL PROBLEM OF STOCHASTIC AGE-DEPENDENT SYSTEM WITH POISSON JUMPS

NECESSARY AND SUFFICIENT CONDITIONS FOR NEAR- OPTIMALITY HARVESTING CONTROL PROBLEM OF STOCHASTIC AGE-DEPENDENT SYSTEM WITH POISSON JUMPS IJRRS 4 M wwweom/vome/vo4ie/ijrrs_4 NCSSRY N SUFFICIN CONIIONS FOR NR- OPIMLIY RVSING CONROL PROBLM OF SOCSIC G-PNN SYSM WI POISSON JUMPS Xii Li * Qimi Z & Jiwei Si Soo o Memi Come Siee NiXi Uiveiy YiC

More information

Support Appendix The Logistics Impact of a Mixture of Order-Streams in a Manufacturer-Retailer System Ananth V Iyer and Apurva Jain

Support Appendix The Logistics Impact of a Mixture of Order-Streams in a Manufacturer-Retailer System Ananth V Iyer and Apurva Jain So Aedx Te og Ia o a Mxe o Ode-Sea a Maae-Reale Sye Aa V Iye ad Ava Ja Teoe 4: e ad q be e obably geeag o o e eady-ae be o ode ee e ye by a avg H ode ad a M ode eevely Te ad q Wee ad be e ee oo o e ollowg

More information

12. Nyquist Sampling, Pulse-Amplitude Modulation, and Time- Division Multiplexing

12. Nyquist Sampling, Pulse-Amplitude Modulation, and Time- Division Multiplexing Nyqui Sapling, Pule-Apliude Modulaion, and Tie Diviion Muliplexing on Mac 2. Nyqui Sapling, Pule-Apliude Modulaion, and Tie- Diviion Muliplexing Many analogue counicaion ye are ill in wide ue oday. Thee

More information

TWO INTERFACIAL COLLINEAR GRIFFITH CRACKS IN THERMO- ELASTIC COMPOSITE MEDIA

TWO INTERFACIAL COLLINEAR GRIFFITH CRACKS IN THERMO- ELASTIC COMPOSITE MEDIA WO INERFIL OLLINER GRIFFIH RS IN HERMO- ELSI OMOSIE MEDI h m MISHR S DS * Deme o Mheml See I Ie o eholog BHU V-5 I he oee o he le o he e e o eeg o o olle Gh e he ee o he wo ohoo mel e e e emee el. he olem

More information

Solutions Manual 4.1. nonlinear. 4.2 The Fourier Series is: and the fundamental frequency is ω 2π

Solutions Manual 4.1. nonlinear. 4.2 The Fourier Series is: and the fundamental frequency is ω 2π Soluios Maual. (a) (b) (c) (d) (e) (f) (g) liear oliear liear liear oliear oliear liear. The Fourier Series is: F () 5si( ) ad he fudameal frequecy is ω f ----- H z.3 Sice V rms V ad f 6Hz, he Fourier

More information

( )( )( ) ( ) + ( ) ( ) ( )

( )( )( ) ( ) + ( ) ( ) ( ) 3.7. Moel: The magnetic fiel is that of a moving chage paticle. Please efe to Figue Ex3.7. Solve: Using the iot-savat law, 7 19 7 ( ) + ( ) qvsinθ 1 T m/a 1.6 1 C. 1 m/s sin135 1. 1 m 1. 1 m 15 = = = 1.13

More information

Transistor configurations: There are three main ways to place a FET/BJT in an architecture:

Transistor configurations: There are three main ways to place a FET/BJT in an architecture: F3 Mo 0. Amplifie Achiecues Whe a asiso is used i a amplifie, oscillao, file, seso, ec. i will also be a eed fo passive elemes like esisos, capacios ad coils o povide biasig so ha he asiso has he coec

More information

Chapter 2: Descriptive Statistics

Chapter 2: Descriptive Statistics Chapte : Decptve Stattc Peequte: Chapte. Revew of Uvaate Stattc The cetal teecy of a oe o le yetc tbuto of a et of teval, o hghe, cale coe, ofte uaze by the athetc ea, whch efe a We ca ue the ea to ceate

More information

Maximum Likelihood Estimation

Maximum Likelihood Estimation Mau Lkelhood aon Beln Chen Depaen of Copue Scence & Infoaon ngneeng aonal Tawan oal Unvey Refeence:. he Alpaydn, Inoducon o Machne Leanng, Chape 4, MIT Pe, 4 Saple Sac and Populaon Paaee A Scheac Depcon

More information

Stability. Outline Stability Sab Stability of Digital Systems. Stability for Continuous-time Systems. system is its stability:

Stability. Outline Stability Sab Stability of Digital Systems. Stability for Continuous-time Systems. system is its stability: Oulie Sabiliy Sab Sabiliy of Digial Syem Ieral Sabiliy Exeral Sabiliy Example Roo Locu v ime Repoe Fir Orer Seco Orer Sabiliy e Jury e Rouh Crierio Example Sabiliy A very impora propery of a yamic yem

More information

MIL-DTL SERIES 2

MIL-DTL SERIES 2 o ll oo I--26482 I 2 I--26482 I 2 OI O 34 70 14 4 09 70 14 4 71 l, l o 74 l, u 75 lu, I ou 76 lu, luu, l oz luu, lol l luu, olv u ov lol l l l, v ll z 8, 10, 12, 14,, 18,, 22, o 24 I o lyou I--69 o y o

More information

By the end of this section you will be able to prove the Chinese Remainder Theorem apply this theorem to solve simultaneous linear congruences

By the end of this section you will be able to prove the Chinese Remainder Theorem apply this theorem to solve simultaneous linear congruences Chapte : Theoy of Modula Aithmetic 8 Sectio D Chiese Remaide Theoem By the ed of this sectio you will be able to pove the Chiese Remaide Theoem apply this theoem to solve simultaeous liea cogueces The

More information

Strong Result for Level Crossings of Random Polynomials

Strong Result for Level Crossings of Random Polynomials IOSR Joual of haacy ad Biological Scieces (IOSR-JBS) e-issn:78-8, p-issn:19-7676 Volue 11, Issue Ve III (ay - Ju16), 1-18 wwwiosjoualsog Stog Result fo Level Cossigs of Rado olyoials 1 DKisha, AK asigh

More information

The shortest path between two truths in the real domain passes through the complex domain. J. Hadamard

The shortest path between two truths in the real domain passes through the complex domain. J. Hadamard Complex Analysis R.G. Halbud R.Halbud@ucl.ac.uk Depamen of Mahemaics Univesiy College London 202 The shoes pah beween wo uhs in he eal domain passes hough he complex domain. J. Hadamad Chape The fis fundamenal

More information

Greatest term (numerically) in the expansion of (1 + x) Method 1 Let T

Greatest term (numerically) in the expansion of (1 + x) Method 1 Let T BINOMIAL THEOREM_SYNOPSIS Geatest tem (umeically) i the epasio of ( + ) Method Let T ( The th tem) be the geatest tem. Fid T, T, T fom the give epasio. Put T T T ad. Th will give a iequality fom whee value

More information

The sphere of radius a has the geographical form. r (,)=(acoscos,acossin,asin) T =(p(u)cos v, p(u)sin v,q(u) ) T.

The sphere of radius a has the geographical form. r (,)=(acoscos,acossin,asin) T =(p(u)cos v, p(u)sin v,q(u) ) T. Che 5. Dieeil Geome o Sces 5. Sce i meic om I 3D sce c be eeseed b. Elici om z =. Imlici om z = 3. Veco om = o moe geel =z deedig o wo mees. Emle. he shee o dis hs he geoghicl om =coscoscossisi Emle. he

More information

Math 213b (Spring 2005) Yum-Tong Siu 1. Explicit Formula for Logarithmic Derivative of Riemann Zeta Function

Math 213b (Spring 2005) Yum-Tong Siu 1. Explicit Formula for Logarithmic Derivative of Riemann Zeta Function Math 3b Sprig 005 Yum-og Siu Expliit Formula for Logarithmi Derivative of Riema Zeta Futio he expliit formula for the logarithmi derivative of the Riema zeta futio i the appliatio to it of the Perro formula

More information

Math 2414 Homework Set 7 Solutions 10 Points

Math 2414 Homework Set 7 Solutions 10 Points Mah Homework Se 7 Soluios 0 Pois #. ( ps) Firs verify ha we ca use he iegral es. The erms are clearly posiive (he epoeial is always posiive ad + is posiive if >, which i is i his case). For decreasig we

More information

TIME RESPONSE Introduction

TIME RESPONSE Introduction TIME RESPONSE Iroducio Time repoe of a corol yem i a udy o how he oupu variable chage whe a ypical e ipu igal i give o he yem. The commoly e ipu igal are hoe of ep fucio, impule fucio, ramp fucio ad iuoidal

More information

On Fractional Operational Calculus pertaining to the product of H- functions

On Fractional Operational Calculus pertaining to the product of H- functions nenonl eh ounl of Enneen n ehnolo RE e-ssn: 2395-56 Volume: 2 ue: 3 une-25 wwwene -SSN: 2395-72 On Fonl Oeonl Clulu enn o he ou of - funon D VBL Chu, C A 2 Demen of hem, Unve of Rhn, u-3255, n E-ml : vl@hooom

More information

Degree of Approximation of Fourier Series

Degree of Approximation of Fourier Series Ieaioal Mahemaical Foum Vol. 9 4 o. 9 49-47 HIARI Ld www.m-hiai.com h://d.doi.og/.988/im.4.49 Degee o Aoimaio o Fouie Seies by N E Meas B. P. Padhy U.. Misa Maheda Misa 3 ad Saosh uma Naya 4 Deame o Mahemaics

More information

xp (X = x) = P (X = 1) = θ. Hence, the method of moments estimator of θ is

xp (X = x) = P (X = 1) = θ. Hence, the method of moments estimator of θ is Exercise 7 / page 356 Noe ha X i are ii from Beroulli(θ where 0 θ a Meho of momes: Sice here is oly oe parameer o be esimae we ee oly oe equaio where we equae he rs sample mome wih he rs populaio mome,

More information

Strong Result for Level Crossings of Random Polynomials. Dipty Rani Dhal, Dr. P. K. Mishra. Department of Mathematics, CET, BPUT, BBSR, ODISHA, INDIA

Strong Result for Level Crossings of Random Polynomials. Dipty Rani Dhal, Dr. P. K. Mishra. Department of Mathematics, CET, BPUT, BBSR, ODISHA, INDIA Iteatioal Joual of Reseach i Egieeig ad aageet Techology (IJRET) olue Issue July 5 Available at http://wwwijetco/ Stog Result fo Level Cossigs of Rado olyoials Dipty Rai Dhal D K isha Depatet of atheatics

More information

P a g e 3 6 of R e p o r t P B 4 / 0 9

P a g e 3 6 of R e p o r t P B 4 / 0 9 P a g e 3 6 of R e p o r t P B 4 / 0 9 p r o t e c t h um a n h e a l t h a n d p r o p e r t y fr om t h e d a n g e rs i n h e r e n t i n m i n i n g o p e r a t i o n s s u c h a s a q u a r r y. J

More information

Lecture 22 Electromagnetic Waves

Lecture 22 Electromagnetic Waves Lecue Elecomagneic Waves Pogam: 1. Enegy caied by he wave (Poyning veco).. Maxwell s equaions and Bounday condiions a inefaces. 3. Maeials boundaies: eflecion and efacion. Snell s Law. Quesions you should

More information

Single Phase Line Frequency Uncontrolled Rectifiers

Single Phase Line Frequency Uncontrolled Rectifiers Single Phae Line Frequency Unconrolle Recifier Kevin Gaughan 24-Nov-03 Single Phae Unconrolle Recifier 1 Topic Baic operaion an Waveform (nucive Loa) Power Facor Calculaion Supply curren Harmonic an Th

More information

Applications of force vibration. Rotating unbalance Base excitation Vibration measurement devices

Applications of force vibration. Rotating unbalance Base excitation Vibration measurement devices Applicaios of foce viaio Roaig ualace Base exciaio Viaio easuee devices Roaig ualace 1 Roaig ualace: Viaio caused y iegulaiies i he disiuio of he ass i he oaig copoe. Roaig ualace 0 FBD 1 FBD x x 0 e 0

More information

Viewing in 3D. Viewing in 3D. Planar Geometric Projections. Taxonomy of Projections. How to specify which part of the 3D world is to be viewed?

Viewing in 3D. Viewing in 3D. Planar Geometric Projections. Taxonomy of Projections. How to specify which part of the 3D world is to be viewed? Viewig i 3D Viewig i 3D How o speci which pa o he 3D wo is o e viewe? 3D viewig voume How o asom 3D wo cooiaes o D ispa cooiae? Pojecios Cocepua viewig pipeie: Xom o ee coos 3D cippig Pojec Xom o viewpo

More information

Capítulo. of Particles: Energy and Momentum Methods

Capítulo. of Particles: Energy and Momentum Methods Capíulo 5 Kieics of Paicles: Eegy ad Momeum Mehods Mecáica II Coes Ioducio Wok of a Foce Piciple of Wok & Eegy pplicaios of he Piciple of Wok & Eegy Powe ad Efficiecy Sample Poblem 3. Sample Poblem 3.

More information

T h e C S E T I P r o j e c t

T h e C S E T I P r o j e c t T h e P r o j e c t T H E P R O J E C T T A B L E O F C O N T E N T S A r t i c l e P a g e C o m p r e h e n s i v e A s s es s m e n t o f t h e U F O / E T I P h e n o m e n o n M a y 1 9 9 1 1 E T

More information

Can a watch-sized electromagnet deflect a bullet? (from James Bond movie)

Can a watch-sized electromagnet deflect a bullet? (from James Bond movie) Can a peon be blown away by a bullet? et' ay a bullet of a 0.06 k i ovin at a velocity of 300 /. And let' alo ay that it ebed itelf inide a peon. Could thi peon be thut back at hih peed (i.e. blown away)?

More information

Lecture 4. Electrons and Holes in Semiconductors

Lecture 4. Electrons and Holes in Semiconductors Lecue 4 lec ad Hle i Semicduc I hi lecue yu will lea: Geeai-ecmbiai i emicduc i me deail The baic e f euai gveig he behavi f elec ad hle i emicduc Shckley uai Quai-eualiy i cducive maeial C 35 Sig 2005

More information

Advanced Particle Physics & Introduction to Standard Model: II. Prerequisites

Advanced Particle Physics & Introduction to Standard Model: II. Prerequisites vace Pacle Phyc & Iouco o Saa oel: II. Peeque J. Pawlowk / U. Uwe II. Peeque. Relavc keac. Wave eco o ee acle. o elavc eubao heoy. Scaeg a a ao alue 5. o eco a hae ace 6. ecay wh lee a alz lo Leaue: F.

More information

INF 5460 Electronic noise Estimates and countermeasures. Lecture 13 (Mot 10) Amplifier Architectures

INF 5460 Electronic noise Estimates and countermeasures. Lecture 13 (Mot 10) Amplifier Architectures NF 5460 lecoic oise simaes ad couemeasues Lecue 3 (Mo 0) Amplifie Achiecues Whe a asiso is used i a amplifie, oscillao, file, seso, ec. i will also be a eed fo passive elemes like esisos, capacios ad coils

More information

4.1 Schrödinger Equation in Spherical Coordinates

4.1 Schrödinger Equation in Spherical Coordinates Phs 34 Quu Mehs D 9 9 Mo./ Wed./ Thus /3 F./4 Mo., /7 Tues. / Wed., /9 F., /3 4.. -. Shodge Sphe: Sepo & gu (Q9.) 4..-.3 Shodge Sphe: gu & d(q9.) Copuo: Sphe Shodge s 4. Hdoge o (Q9.) 4.3 gu Moeu 4.4.-.

More information

Molecular Evolution and Phylogeny. Based on: Durbin et al Chapter 8

Molecular Evolution and Phylogeny. Based on: Durbin et al Chapter 8 Molecula Evoluion and hylogeny Baed on: Dubin e al Chape 8. hylogeneic Tee umpion banch inenal node leaf Topology T : bifucaing Leave - N Inenal node N+ N- Lengh { i } fo each banch hylogeneic ee Topology

More information

ENGI 4430 Advanced Calculus for Engineering Faculty of Engineering and Applied Science Problem Set 9 Solutions [Theorems of Gauss and Stokes]

ENGI 4430 Advanced Calculus for Engineering Faculty of Engineering and Applied Science Problem Set 9 Solutions [Theorems of Gauss and Stokes] ENGI 44 Avance alculus fo Engineeing Faculy of Engineeing an Applie cience Poblem e 9 oluions [Theoems of Gauss an okes]. A fla aea A is boune by he iangle whose veices ae he poins P(,, ), Q(,, ) an R(,,

More information

8.5 Circles and Lengths of Segments

8.5 Circles and Lengths of Segments LenghofSegmen20052006.nb 1 8.5 Cicle and Lengh of Segmen In hi ecion we will how (and in ome cae pove) ha lengh of chod, ecan, and angen ae elaed in ome nal way. We will look a hee heoem ha ae hee elaionhip

More information

r r r r r EE334 Electromagnetic Theory I Todd Kaiser

r r r r r EE334 Electromagnetic Theory I Todd Kaiser 334 lecoagneic Theoy I Todd Kaise Maxwell s quaions: Maxwell s equaions wee developed on expeienal evidence and have been found o goven all classical elecoagneic phenoena. They can be wien in diffeenial

More information

Today - Lecture 13. Today s lecture continue with rotations, torque, Note that chapters 11, 12, 13 all involve rotations

Today - Lecture 13. Today s lecture continue with rotations, torque, Note that chapters 11, 12, 13 all involve rotations Today - Lecue 13 Today s lecue coninue wih oaions, oque, Noe ha chapes 11, 1, 13 all inole oaions slide 1 eiew Roaions Chapes 11 & 1 Viewed fom aboe (+z) Roaional, o angula elociy, gies angenial elociy

More information

Neutron Slowing Down Distances and Times in Hydrogenous Materials. Erin Boyd May 10, 2005

Neutron Slowing Down Distances and Times in Hydrogenous Materials. Erin Boyd May 10, 2005 Neu Slwig Dw Disaces ad Times i Hydgeus Maeials i Byd May 0 005 Oulie Backgud / Lecue Maeial Neu Slwig Dw quai Flux behavi i hydgeus medium Femi eame f calculaig slwig dw disaces ad imes. Bief deivai f

More information

Circular Motion. Radians. One revolution is equivalent to which is also equivalent to 2π radians. Therefore we can.

Circular Motion. Radians. One revolution is equivalent to which is also equivalent to 2π radians. Therefore we can. 1 Cicula Moion Radians One evoluion is equivalen o 360 0 which is also equivalen o 2π adians. Theefoe we can say ha 360 = 2π adians, 180 = π adians, 90 = π 2 adians. Hence 1 adian = 360 2π Convesions Rule

More information

Lecture 25 Outline: LTI Systems: Causality, Stability, Feedback

Lecture 25 Outline: LTI Systems: Causality, Stability, Feedback Lecure 5 Oulie: LTI Sye: Caualiy, Sabiliy, Feebac oucee: Reaig: 6: Lalace Trafor. 37-49.5, 53-63.5, 73; 7: 7: Feebac. -4.5, 8-7. W 8 oe, ue oay. Free -ay eeio W 9 will be oe oay, ue e Friay (o lae W) Fial

More information

IMACS CONTROL ELECTRONICS

IMACS CONTROL ELECTRONICS e Io ell el e d peop (I) I OO OI ee Iuo of o e Oevoe ee de, lfo 0 O () () I ex ee I le of oe.do ex ee I lo. le: I ove ee ze: le: l e:. I evo: Il e: e: ep00 :0:. ee 0 of 0 le: :\OI\I u 0\oo ool ye\i oo

More information

SUMMATION OF INFINITE SERIES REVISITED

SUMMATION OF INFINITE SERIES REVISITED SUMMATION OF INFINITE SERIES REVISITED I several aricles over he las decade o his web page we have show how o sum cerai iiie series icludig he geomeric series. We wa here o eed his discussio o he geeral

More information

Economics 8723 Macroeconomic Theory Problem Set 3 Sketch of Solutions Professor Sanjay Chugh Spring 2017

Economics 8723 Macroeconomic Theory Problem Set 3 Sketch of Solutions Professor Sanjay Chugh Spring 2017 Deparme of Ecoomic The Ohio Sae Uiveriy Ecoomic 8723 Macroecoomic Theory Problem Se 3 Skech of Soluio Profeor Sajay Chugh Sprig 27 Taylor Saggered Nomial Price-Seig Model There are wo group of moopoliically-compeiive

More information

Review for the Midterm Exam.

Review for the Midterm Exam. Review for he iderm Exm Rememer! Gross re e re Vriles suh s,, /, p / p, r, d R re gross res 2 You should kow he disiio ewee he fesile se d he udge se, d kow how o derive hem The Fesile Se Wihou goverme

More information

Switching Characteristics of Power Devices

Switching Characteristics of Power Devices Swiching Characeriic of Power Device Device uilizaion can be grealy improved by underanding he device wiching charcaeriic. he main performance wiching characeriic of power device: he ave operaing area

More information

Numerical Study of Large-area Anti-Resonant Reflecting Optical Waveguide (ARROW) Vertical-Cavity Semiconductor Optical Amplifiers (VCSOAs)

Numerical Study of Large-area Anti-Resonant Reflecting Optical Waveguide (ARROW) Vertical-Cavity Semiconductor Optical Amplifiers (VCSOAs) USOD 005 uecal Sudy of Lage-aea An-Reonan Reflecng Opcal Wavegude (ARROW Vecal-Cavy Seconduco Opcal Aplfe (VCSOA anhu Chen Su Fung Yu School of Eleccal and Eleconc Engneeng Conen Inoducon Vecal Cavy Seconduco

More information

Algebra 2A. Algebra 2A- Unit 5

Algebra 2A. Algebra 2A- Unit 5 Algeba 2A Algeba 2A- Ui 5 ALGEBRA 2A Less: 5.1 Name: Dae: Plymial fis O b j e i! I a evalae plymial fis! I a ideify geeal shapes f gaphs f plymial fis Plymial Fi: ly e vaiable (x) V a b l a y a :, ze a

More information

A Lattice Energy Calculation for LiH

A Lattice Energy Calculation for LiH A Lattice Enegy Calculation fo LiH Fank Riou Lithium hyie is a white cystalline soli with the face-centee cubic cystal stuctue (see lattice shown below). The moel fo LiH(s) popose in this stuy constists

More information

Crosscorrelation of m-sequences, Exponential sums and Dickson

Crosscorrelation of m-sequences, Exponential sums and Dickson Cosscoelatio o m-equeces, Epoetial sums ad Dicso polyomials To Helleseth Uiesity o Bege NORWAY Joit wo with Aia Johase ad Aleade Kholosha Itoductio Outlie m-sequeces Coelatio o sequeces Popeties o m-sequeces

More information

Chapter 9 - The Laplace Transform

Chapter 9 - The Laplace Transform Chaper 9 - The Laplace Tranform Selece Soluion. Skech he pole-zero plo an region of convergence (if i exi) for hee ignal. ω [] () 8 (a) x e u = 8 ROC σ ( ) 3 (b) x e co π u ω [] ( ) () (c) x e u e u ROC

More information

RESONANCE SERIES RESONANT CIRCUITS. 5/2007 Enzo Paterno 1

RESONANCE SERIES RESONANT CIRCUITS. 5/2007 Enzo Paterno 1 ESONANCE SEIES ESONANT CICUITS 5/007 Enzo Pateno ESONANT CICUITS A vey impotant cicuit, used in a wide vaiety o electical and electonic systems today (i.e. adio & television tunes), is called the esonant

More information

Novel Quadratic Tracker and Observer for the Equivalent Model of the Sampled Data Linear Singular System *

Novel Quadratic Tracker and Observer for the Equivalent Model of the Sampled Data Linear Singular System * Applie Maheaical Sciece, Vol. 6, 0, o. 68, 338-3409 Novel Quaaic acke a Obeve o he Equivale Moel o he Saple Daa Liea Sigula Sye * Jao Sheg-Hog ai, Chia-Hig Che a Mig-Je Li Cool Sye Laboaoy, Depae o Elecical

More information