Corrupt the signal waveform Degrade the performance of communication systems

Size: px
Start display at page:

Download "Corrupt the signal waveform Degrade the performance of communication systems"

Transcription

1 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 / Urreled wih he igl Trier Chel Nie WGN eeiver erre eure: lg igl--nie i N y Digil i-errr-e E EG30-II p. II-89

2 Nie: igl--nie i ue he hel irdue diri d reeiver i lier eeived igl Nie eeiver y N verge pwer ege igl verge pwer ie he he reeiver upu reeiver upu y where d re he igl d ie wver he reeiver upu. N EG30-II p. II-90

3 Whie Nie d ilered Nie Whie ie: l perl deiy ver wide rge requeie τ / / ilered whie ie: τ iler H H H d H d / / EG30-II - Lw-p iler - bd-p iler p. II-9

4 dp Nie r bdp ye, whih lii he bdwidh he ie, e he ie luui re reried. he bdwidh he ie bee ll pred he eer requey, i bee pible pprie i wih phr repreei. θ Here i h pri he ie whih i he i-phe pe d i he qudrure pe i he phr repreei. The plee phr repreei he rrwbd rd ie i [ j ] e j θ EG30-II where i he eer requey. j e{[ j ] e } whih i kw he bdp repreei ie. i p. II-9

5 dp Nie L e 0 [ ] 0 i 0 0 i 0 The upu he lw-p iler i e [ 0] L The pwer perl deiy i I{ } I{[ T T 0 ] li li T T T T N N T 0 T 0 li T T L L } EG30-II p. II-93

6 EG30-II p. II-9 dp Nie r rd ie, he verge he r prdu ge zer, hu L ] [ 0 0 The e r llw i he e er by iderig i, yieldig L ] [ 0 0 Hee, L ] [ 0 0 Thu, heir e-qure vlue re equl; The e-qure vlue bdp rd ie i i Q

7 dp Nie EG30-II p. II-95

8 EG30-II p. II-96 Hee, d he perl deiie d re dp Nie Eple: Whie ie wih pwer perl deiy / i ilered by regulr bdp iler wih H, eered d hvig bdwidh W. id he pwer perl deiy d. Clule he pwer i, d. lui: ie he iler i regulr wih H, he pwer perl deiy he upu ie i: elewhere W W 0 r W wer d re W d W W wer i W W d d W W W W

9 Nie i ebd C. ye ebd rii: igl i ried wihu y duli. ue bh he rier iler d reeiver iler re idel lw-p iler wih bdwidh W L Chel Nie WGN L, ue dirile hel: K d where K d d re he pliii/eui d ie-dely, repeively. verge upu igl pwer: reeived pwer verge upu ie pwer: N d d EG30-II p. II-97

10 Nie i ebd C. ye Eple: Cider lg bebd uii ye wih ddiive whie ie. The rii hel i ued be dirile d he pwer perl deiy whie ie i / i 0-9 w per herz W/Hz. The igl be ried i udi igl wih -khz bdwidh. he reeiver ed, C lw p iler wih 3-d bdwidh 8kHz i ued lii he ie pwer he upu. Clule he upu ie pwer. lui: r C lw-p iler 3-d bdwidh8khz, he requey repe i / j C H where C / jc j H 3d bdwidh [ ] / 8000 verge upu ie pwer: H d d EG30-II µw p. II-98

11 Nie i pliude Mduled ye eeived duled igl Nie Deer Dedulr L y eeiver The bdp iler lii he u ie uide igl bd h rehe he dedulr u--bd ie N N N Nrrwbd ilered ie: i wer perl deiy: EG30-II eeived igl pwer: p. II-99

12 Nie i D-C ye I D-C ye, he reeived duled igl i: eeived duled igl Nie Cider he deduli by yhru deei: eeiver i where i he ege igl whih i bd-liied wih bdwidh Dedulr Ipu igl pwer he dedulr: Ipu ie pwer he dedulr: L y N 0 - EG30-II p. II-00

13 EG30-II p. II-0 Nie i D-C ye Oupu igl pwer er L: y Oupu ie er L: Oupu igl er L: y L { } i ] [ i L L L Oupu ie pwer er L: Q N bere dedulr: N i i N y N Oupu N er dedulr: The deer dedulr iprve he N i D-C ye by r. Thi iprvee reul r he h he here deer reje he qudrure ie pe i he ipu ie, hereby hlvig he e-qure ie pwer. N r D-C

14 EG30-II p. II-0 Nie i D-C ye Eple: D-C ye wih ddiive whie ie i deduled by yhru deer wih phe errr, i.e.. The rigil ege igl i. hw h where γ i he upu N whe he yhru deer h phe errr. Oupu igl pwer er L: y Oupu ie er L: i i Oupu igl er L: y L i L Oupu ie pwer er L: Q γ y N Oupu N er dedulr: i γ N γ lui:

15 Nie i ye I ye, he reeived duled igl i: ˆ i eeived duled igl Nie Cider he deduli by yhru deei: where i he ege igl whih i bd-liied wih bdwidh eeiver Dedulr L y ˆ i i N EG30-II p. II-03

16 EG30-II p. II-0 Nie i ye Ipu ie pwer he dedulr: Ipu igl pwer he dedulr: i ˆ i ˆ i ˆ i i ˆ Oupu igl he dedulr: y L Ipu igl he dedulr: Ipu ie he dedulr: Oupu ie he dedulr: L Oupu igl pwer he dedulr: Oupu ie pwer he dedulr: y

17 EG30-II p. II-05 N bere dedulr: N i i N y N Oupu N er dedulr: Nie i ye The deer dedulr de iprve he N i -C ye. N r

18 Nie i D-LC M ye I D-LC M ye, he reeived duled igl i: [ ] where i he ege igl whih i bd-liied wih bdwidh Cider he deduli by yhru deei: eeived duled igl Nie Dedulr L y eeiver i [ ] N EG30-II p. II-06

19 EG30-II p. II-07 Nie i D-LC M ye Ipu ie pwer he dedulr: Ipu igl pwer he dedulr: i Oupu igl he dedulr: y L Ipu igl he dedulr: Ipu ie he dedulr: Oupu ie he dedulr: L zer e ege igl 0 ue y revig he DC er, give y

20 EG30-II p. II-08 Nie i D-LC M ye Oupu igl pwer he dedulr: Oupu ie pwer he dedulr: y N bere dedulr: N i y N Oupu N er dedulr: r D-LC N vid diri ver-duli N N D-LC i le 3-d wre h h i D-C d ye

21 Nie D-LC M ye I D-LC M ye, he reeived duled igl i: [ ] Cider he deduli by evelpe deei: eeived duled igl i Nie where i he ege igl whih i bd-liied wih bdwidh Ipu he evelpe deer: eeiver Evelpe deer Dedulr r [ ] [ i ] EG30-II p. II-09

22 EG30-II p. II-0 Nie D-LC M ye r lrge ipu N:, >> { } i i Oupu he evelpe deer: { } r j e r r where Ipu he evelpe deer: ; r evig he DC pe, give r whih i billy he e he upu igl, y, r yhru deei D-LC igl wihu he lig r ½. Thu, r high N reeiver ipu, he perre yhru deer d evelpe deer i he e.

23 EG30-II p. II- Nie i D-LC M ye r ll ipu N:, << { } r ll uig le r ll v v v v v v v v v r α α α Thu, r ll N reeiver ipu, he igl d ie re lger ddiive. The igl uliplied by ie be diiguihble. N eigul upu N be deied.

24 Nie i pliude Mduled ye Eple: uig iuidl duli, hw h, i M ye wih evelpe deei, he upu N i give by N where i he duli ide r M. lui: r iuidl duli, Uig N r M r D-LC Thu, N N EG30-II p. II-

25 Nie i pliude Mduled ye Eple: Cider M ye wih ddiive herl ie hvig pwer perl deiy /0 - W/Hz. ue h he bebd ege igl h bdwidh khz d he pliude diribui hw by he igure. The igl i deduled by evelpe deei d pprprie p-deei ilerig. ue duli ide. - 0 id he iiu vlue he rrier pliude h will yield N 0d. EG30-II p. II-3

26 Nie i pliude Mduled ye lui: [ ] d 0 d 6 r, khz, /0 - W/Hz, 6 7 N wih 7 [ ] 6 r N N 0d 7 [ ] V Thu he iiu vlue required i 3V. EG30-II p. II-

27 EG30-II Nie i gle Mduled ye r ege igl, gle-duled igl: [ ] k p r M k τ dτ r M 0 The pre-deei iler h bdwidh WD where D i he requey devii ri d i he bdwidh he ege igl. Nie G Liier Diriir L eeiver Dedulr Ipu igl pwer he dedulr: [ ] Ipu ie pwer he dedulr: W W N bere he dedulr: N i W y p. II-5

28 EG30-II p. II-6 Nie i gle Mduled ye Le G he ipu he dedulr uh h i G θ The liier uppree y pliude vrii G, hu i gle duli, N i derived r ideri θ ly. σ σ σ θ r ll Q { } { } G i ] [ ; θ where T ilie he lyi he ie ly, we ue 0 Thu,

29 EG30-II p. II-7 Nie i gle Mduled ye θ r high ipu N, >>, >>, hu, θ G α Oupu ie r Liier: Thi peri i ju like pig hrugh diereir wih rer repe d d d α Oupu ie r Diriir egle DC er: j H α d H Thu, ider he reli pwer perl deiie: I he ipu ie i whie wih /, / / L α L

30 EG30-II p. II-8 Nie i gle Mduled ye Wih d, Thu, d H α d j H α r W Oupu igl r diriir: d d d α α Oupu ie pwer er L wih bdwidh : k k y L α Negleig he DC er, give k y k y α α Oupu N: k k y N α α

31 EG30-II p. II-9 Nie i gle Mduled ye k N I he ege igl i iuidl igle-e, i.e. d prdue requey devii, i 3 M igl: Diereiig, give 0 3 Q d k τ τ k Thu, k N β 3 3 N β 3 r M Ne: Whe β5, upu N M ye i 37.5 ie h bebd ye, bu he bdwidh M ye i bu ie h he bebd ye.

32 N i M & M ye EG30-II Uder he vrble dii i M, he duli ide i 00%, hu N M 3 r M: N M 3 β I hw h he upu igl--ie ri be de uh higher i M h i M by ireig he duli ide β. iree i β l iree he bdwidh h M ye prvide iprvee i igl--ie he epee iree i bdwidh. T relize y igl--ie iprvee i M ver M we u hve 3 β > β > Thi dii i ppriely he rii pi bewee rrwbd d widebd M. Nrrwbd M prvide igl--ie iprvee ver M. p. II-0

33 re-ephi d De-ephi i M ell: he pwer perl deiy he M diriir upu α d r W d -W/ 0 W/ Nie pwer i lrger higher requeie wihi he ege bdwidh. re-ephi: he high-requey pe i he ipu ege igl re ephized he rier bere he ie i irdued. De-ephi: he upu M dedulr, he ivere peri i perred de-ephize he high requey pe EG30-II p. II-

34 EG30-II p. II- re-ephi d De-ephi i M re-ephi iler De-ephi iler M rier M reeiver WGN upu H E H DE W W H H DE E < <, / ; DE E j K H j K H Eple: ipu upu C ipu upu r C α d d d Oupu ie pwer wihu de-ephi iler: Oupu ie pwer wih de-ephi iler: α d H d H E E d

The stress transfer calculations presented in the main text reports only our preferred

The stress transfer calculations presented in the main text reports only our preferred GS R ITEM 214377 L.S. Wlh e l. GS T REPOSITORY COULOM STRESS CHNGE PRMETER INPUT TESTS The re rfer lul preee he e repr ly ur preferre el. lhugh he geerl per ue re rbu, he el f he reul ul hge f el preer

More information

Sensorless Control. Dr. Antoni Arias. Index. Motivation for Sensorless Control Different Sensorless Techniques

Sensorless Control. Dr. Antoni Arias. Index. Motivation for Sensorless Control Different Sensorless Techniques Serle Crl Dr. Ai Ari Uiveri Plièi de Cluy Eleri Egieerig Dere Cl, Terr 8, Cli, Si /57 Ide Irdui Mivi fr Serle Crl Differe Serle Tehique Oerver Mhie Sliey. Mgei uri Field Orieed Serle Crl wih vlge ule e

More information

Amplitude modulation

Amplitude modulation Uni. Inroduion pliude odulion odulion i proe o vrying one o he hrerii o high requeny inuoidl he rrier in ordne wih he innneou vlue o he oduling he inorion ignl. The high requeny rrier ignl i heilly repreened

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

Solutions to assignment 3

Solutions to assignment 3 D Sruure n Algorihm FR 6. Informik Sner, Telikeplli WS 03/04 hp://www.mpi-.mpg.e/~ner/oure/lg03/inex.hml Soluion o ignmen 3 Exerie Arirge i he ue of irepnie in urreny exhnge re o rnform one uni of urreny

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

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

700 STATEMENT OF ECONOMIC

700 STATEMENT OF ECONOMIC R RM EME EM ERE H E H E HE E HE Y ERK HE Y P PRE MM 8 PUB UME ER PE Pee e k. ek, ME ER ( ) R) e -. ffe, ge, u ge e ( ue ) -- - k, B, e e,, f be Yu P eu RE) / k U -. f fg f ue, be he. ( ue ) ge: P:. Ju

More information

2 SKEE/SKEU v R(t) - Figure Q.1(a) Evaluate the transfer function of the network as

2 SKEE/SKEU v R(t) - Figure Q.1(a) Evaluate the transfer function of the network as SKEE/SKEU 073 PART A Q. ) A trfer futio i ued to deribe the reltiohi betwee the iut d outut igl of ytem. Figure Q.) how RC etwork ued to form filter futio. V it) R + v Rt) - C + v t) - Figure Q.) i) ii)

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

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

Spherical refracting surface. Here, the outgoing rays are on the opposite side of the surface from the Incoming rays.

Spherical refracting surface. Here, the outgoing rays are on the opposite side of the surface from the Incoming rays. Sphericl refrctig urfce Here, the outgoig ry re o the oppoite ide of the urfce from the Icomig ry. The oject i t P. Icomig ry PB d PV form imge t P. All prxil ry from P which trike the phericl urfce will

More information

Laplace Transform. Definition of Laplace Transform: f(t) that satisfies The Laplace transform of f(t) is defined as.

Laplace Transform. Definition of Laplace Transform: f(t) that satisfies The Laplace transform of f(t) is defined as. Lplce Trfor The Lplce Trfor oe of he hecl ool for olvg ordry ler dfferel equo. - The hoogeeou equo d he prculr Iegrl re olved oe opero. - The Lplce rfor cover he ODE o lgerc eq. σ j ple do. I he pole o

More information

Derivation of the Metal-Semiconductor Junction Current

Derivation of the Metal-Semiconductor Junction Current .4.4. Derivio of e Mel-Seiouor uio Curre.4.4.1.Derivio of e iffuio urre We r fro e epreio for e ol urre e iegre i over e wi of e epleio regio: q( µ + D (.4.11 wi be rewrie b uig -/ uliplig bo ie of e equio

More information

Communication System Engineering

Communication System Engineering Couiio Syse Egieerig PE5I NLOG COMMUNICION (--) (5 h Se ECE- EC) MODULE-I. SIGNLS ND SPECR: Overview o Eleroi Couiio Syses, Sigl d is Properies, Fourier series Epsio d is Use, he Fourier rsor, Orhogol

More information

Note 8 Root-Locus Techniques

Note 8 Root-Locus Techniques Lecture Nte f Ctrl Syte I - ME 43/Alyi d Sythei f Lier Ctrl Syte - ME862 Nte 8 Rt-Lcu Techique Deprtet f Mechicl Egieerig, Uiverity Of Sktchew, 57 Cpu Drive, Skt, S S7N 5A9, Cd Lecture Nte f Ctrl Syte

More information

LAPLACE TRANSFORMS. 1. Basic transforms

LAPLACE TRANSFORMS. 1. Basic transforms LAPLACE TRANSFORMS. Bic rnform In hi coure, Lplce Trnform will be inroduced nd heir properie exmined; ble of common rnform will be buil up; nd rnform will be ued o olve ome dierenil equion by rnforming

More information

Review - Week 10. There are two types of errors one can make when performing significance tests:

Review - Week 10. There are two types of errors one can make when performing significance tests: Review - Week Read: Chaper -3 Review: There are wo ype of error oe ca make whe performig igificace e: Type I error The ull hypohei i rue, bu we miakely rejec i (Fale poiive) Type II error The ull hypohei

More information

Modeling Micromixing Effects in a CSTR

Modeling Micromixing Effects in a CSTR delig irixig Effes i a STR STR, f all well behaved rears, has he wides RTD i.e. This eas ha large differees i perfrae a exis bewee segregaed flw ad perais a axiu ixedess diis. The easies hig rea is he

More information

CONTROL SYSTEMS. Chapter 3 : Time Response Analysis. [GATE EE 1991 IIT-Madras : 2 Mark]

CONTROL SYSTEMS. Chapter 3 : Time Response Analysis. [GATE EE 1991 IIT-Madras : 2 Mark] CONTROL SYSTEMS Chper 3 : Time Repoe lyi GTE Objecive & Numericl Type Soluio Queio 4 [GTE EC 99 IIT-Mdr : Mrk] uiy feedbck corol yem h he ope loop rfer fucio. 4( ) G () ( ) If he ipu o he yem i ui rmp,

More information

A 1 Bent Sub could have been used and /or small jets at this stage, but that would have called for one extra round trip.

A 1 Bent Sub could have been used and /or small jets at this stage, but that would have called for one extra round trip. DRLLNG ERVCE D R E C T N A L FR WELL 3/2-3. D R L L N Dee rppr hrer L&U DK. ENTER Kk- re 500. 4 3/4" h] 455. 5. KDE Reurere eer bruk B.H.A.., 4 3/4" BT, 9 /2" Nv Dr, /2 Be ub, re ub, 2x9 /2" NMDC, X..,

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

OKANOGAN COUNTY COMMISSIONERS RESOLUTION

OKANOGAN COUNTY COMMISSIONERS RESOLUTION KG T MMISSIRS RSTI 43-16 WHRS, pusu RW 36. 1. 11, he egislie uhi f eh u, wih he ie ssise f he u R giee, pusu e e publi heigs hee, shll pepe p pehesie pg iluig ppse, bige, ph il sui pjes, he speifie pil

More information

SLOW INCREASING FUNCTIONS AND THEIR APPLICATIONS TO SOME PROBLEMS IN NUMBER THEORY

SLOW INCREASING FUNCTIONS AND THEIR APPLICATIONS TO SOME PROBLEMS IN NUMBER THEORY VOL. 8, NO. 7, JULY 03 ISSN 89-6608 ARPN Jourl of Egieerig d Applied Sciece 006-03 Ai Reerch Publihig Nework (ARPN). All righ reerved. www.rpjourl.com SLOW INCREASING FUNCTIONS AND THEIR APPLICATIONS TO

More information

Graduate Algorithms CS F-18 Flow Networks

Graduate Algorithms CS F-18 Flow Networks Grue Algorihm CS673-2016F-18 Flow Nework Dvi Glle Deprmen of Compuer Siene Univeriy of Sn Frnio 18-0: Flow Nework Diree Grph G Eh ege weigh i piy Amoun of wer/eon h n flow hrough pipe, for inne Single

More information

Unit-I (Feedback amplifiers) Features of feedback amplifiers. Presentation by: S.Karthie, Lecturer/ECE SSN College of Engineering

Unit-I (Feedback amplifiers) Features of feedback amplifiers. Presentation by: S.Karthie, Lecturer/ECE SSN College of Engineering Uni-I Feedback ampliiers Feaures eedback ampliiers Presenain by: S.Karhie, Lecurer/ECE SSN Cllege Engineering OBJECTIVES T make he sudens undersand he eec negaive eedback n he llwing ampliier characerisics:

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

Decompression diagram sampler_src (source files and makefiles) bin (binary files) --- sh (sample shells) --- input (sample input files)

Decompression diagram sampler_src (source files and makefiles) bin (binary files) --- sh (sample shells) --- input (sample input files) . Iroduco Probblsc oe-moh forecs gudce s mde b 50 esemble members mproved b Model Oupu scs (MO). scl equo s mde b usg hdcs d d observo d. We selec some prmeers for modfg forecs o use mulple regresso formul.

More information

Angle Modulation (Ch.6 in Textbook)

Angle Modulation (Ch.6 in Textbook) Objeves: gle Mdula (Ch.6 Texbk T sudy requey dula (FM T sudy phase dula (PM T sudy he sruure dular ad dedular plude dula (M: The aplude he arrer vares ardae wh he essage sgal (. gle dula (FM, PM: The agle

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

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

Design of a Three Phase Active Power Filter with Sliding Mode Control and Energy Feedback

Design of a Three Phase Active Power Filter with Sliding Mode Control and Energy Feedback Deg f Three Phe Ate Pwer Flter wth lg Me trl Eergy Feek M. Nyerr, T. Nk Atrt Nler le l three he etwrk rete hr le. Ate e flter re e fr elt r ret f thee effet. Pe flter he e ltt. Fr exle, they re ege ly

More information

two values, false and true used in mathematical logic, and to two voltage levels, LOW and HIGH used in switching circuits.

two values, false and true used in mathematical logic, and to two voltage levels, LOW and HIGH used in switching circuits. Digil Logi/Design. L. 3 Mrh 2, 26 3 Logi Ges nd Boolen Alger 3. CMOS Tehnology Digil devises re predominnly mnufured in he Complemenry-Mel-Oide-Semionduor (CMOS) ehnology. Two ypes of swihes, s disussed

More information

Ch. 1 Introduction to Estimation 1/15

Ch. 1 Introduction to Estimation 1/15 Ch. Itrducti t stimati /5 ample stimati Prblem: DSB R S f M f s f f f ; f, φ m tcsπf t + φ t f lectrics dds ise wt usually white BPF & mp t s t + w t st. lg. f & φ X udi mp cs π f + φ t Oscillatr w/ f

More information

Physics 240: Worksheet 16 Name

Physics 240: Worksheet 16 Name Phyic 4: Workhee 16 Nae Non-unifor circular oion Each of hee proble involve non-unifor circular oion wih a conan α. (1) Obain each of he equaion of oion for non-unifor circular oion under a conan acceleraion,

More information

Angle Modulation: NB (Sinusoid)

Angle Modulation: NB (Sinusoid) 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

More information

12781 Velp Avenue. West County B Rural Residential Development

12781 Velp Avenue. West County B Rural Residential Development U PL & EET E 28 Vel ee eded 2 P.. ) LL EET T E 2) PPVE E ) ET E ) e e e e eded eebe 2 Plg & g eeg b) Bldg Pe e: eebe ) PUBL FU ( -E TE): g be bg bee e Plg & g eel ll be de ll be e. 5) UEETFEEBK: ) be ll

More information

Learning Morphophonology From Morphology and MDL

Learning Morphophonology From Morphology and MDL L Mphphlg F Mphlg MDL Jh A Glih Th Uivi f Chig hp://luii.uhig.u 17 Jul 2011 1 Uupvi l w f luii h 1. Hphi gi. T fu. 2. Hphi (vlui). D Div vi C g f pu D G Vifii vi Y,, N D G 1 G 2 Evlui i G 1 i b;, G 2 i

More information

ERASMUS Application form for entry Please use BLOCK CAPITAL letters.

ERASMUS Application form for entry Please use BLOCK CAPITAL letters. ERSMUS ppl fr fr 2018-19 ery Plee e BLOCK CPITL leer. Plee re ll he fr he he re reflly efre pleg h fr. Frher fr he ppl pre vlle hp://f.le..k/rre-e/erve/er/fr-fr-g-e I el 1. He 2. H epre LSE 3. e f prgre

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

Intermediate Applications of Vectors and Matrices Ed Stanek

Intermediate Applications of Vectors and Matrices Ed Stanek Iteredite Applictio of Vector d Mtrice Ed Stek Itroductio We decribe iteredite opertio d pplictio of vector d trice for ue i ttitic The itroductio i iteded for thoe who re filir with bic trix lgebr Followig

More information

THE LOWELL LEDGER. X

THE LOWELL LEDGER. X * : V : ~ E E EGER X Y X 22 E Y BK E G U P B - ; * -K R B BY K E BE YU YU RE EE «> BE B F F P B * q UR V BB«56 x YU 88»* 00 E PU P B P B P V F P EPEE EUR E G URY VEBER

More information

Scope. F ig.2. F ig.1. Impacts Reduces soil stability along river banks when plant dies back in winter. Competes with native plant species.

Scope. F ig.2. F ig.1. Impacts Reduces soil stability along river banks when plant dies back in winter. Competes with native plant species. l i! P O ST l r B ulif d y l l g i i H I i l i i S Idifii Thi b ri du rid guid khldr ffi ur rl h highly ii riri l Hily bl Ii gldulifr bd hd ud d dld by IFI udr h EU LIFE+ fudd rl f Aqui i Si d ri f url

More information

EE Control Systems LECTURE 11

EE Control Systems LECTURE 11 Up: Moy, Ocor 5, 7 EE 434 - Corol Sy LECTUE Copyrigh FL Lwi 999 All righ rrv POLE PLACEMET A STEA-STATE EO Uig fc, o c ov h clo-loop pol o h h y prforc iprov O c lo lc uil copor o oi goo y- rcig y uyig

More information

All the Laplace Transform you will encounter has the following form: Rational function X(s)

All the Laplace Transform you will encounter has the following form: Rational function X(s) EE G Note: Chpter Itructor: Cheug Pge - - Iverio of Rtiol Fuctio All the Lplce Trform you will ecouter h the followig form: m m m m e τ 0...... Rtiol fuctio Dely Why? Rtiol fuctio come out turlly from

More information

ADDENDUM NO.1 July 22, The City University of New York Request for Proposals. Student Housing Project Project No. CU

ADDENDUM NO.1 July 22, The City University of New York Request for Proposals. Student Housing Project Project No. CU DDDUM.1 uly 22, 2008 y Uy w Yk u l ud Hug j j. U800008 dddu ud u dg lly llwg du www.uy.du/udug. du : l uly 10, 2008 d l uly 10, 2008. w 10 (Gl d d, ll dd d gd u ly d d d l g. g y ly d y l d d w ud. : Ml

More information

Bus times from 18 January 2016

Bus times from 18 January 2016 1 3 i ml/ Fm vig: Tllc uchhuggl Pkh ig Fm u im fm 18 Ju 2016 Hll lcm Thk f chig vl ih Fi W p xiv k f vic hughu G Glg h ig mk u ju pibl Ii hi gui u c icv: Th im p hi vic Pg 6-15 18-19 Th u ii v Pg -5 16-17

More information

Required: Solution: 1.4)

Required: Solution: 1.4) CHAER.) ) 000 000 000 00 k b) 000, 000W 000,000 W 000,000 W 00, 000 W W ) d) k 8.... s 4... s.) 8 r nn n s 9 s p p p.) Gen:.4) n 9 r re r re / dy / r re n n / s dy ) 8 b) nn dy 4 0 0se nds dy 8400s r re

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

Polarization based Microscopy using a Fiber Optic Spectral Polarimeter

Polarization based Microscopy using a Fiber Optic Spectral Polarimeter izi bd Miy uig Fib Oi i Euh Ki, Dig Dv, Th E. Mi D f Bidi Egiig, Th Uiviy f Tx Aui ABTRCT W fib i i, iu h w u f h y vd. Th iu i f i f izi iiig M) fib id 5 wih h h i i wih iz du wh ii xi i igd h f xi f

More information

Chapter 10. Simple Harmonic Motion and Elasticity. Goals for Chapter 10

Chapter 10. Simple Harmonic Motion and Elasticity. Goals for Chapter 10 Chper 0 Siple Hronic Moion nd Elsiciy Gols or Chper 0 o ollow periodic oion o sudy o siple hronic oion. o sole equions o siple hronic oion. o use he pendulu s prooypicl syse undergoing siple hronic oion.

More information

CSC 373: Algorithm Design and Analysis Lecture 9

CSC 373: Algorithm Design and Analysis Lecture 9 CSC 373: Algorihm Deign n Anlyi Leure 9 Alln Boroin Jnury 28, 2013 1 / 16 Leure 9: Announemen n Ouline Announemen Prolem e 1 ue hi Friy. Term Te 1 will e hel nex Mony, Fe in he uoril. Two nnounemen o follow

More information

(V 1. (T i. )- FrC p. ))= 0 = FrC p (T 1. (T 1s. )+ UA(T os. (T is

(V 1. (T i. )- FrC p. ))= 0 = FrC p (T 1. (T 1s. )+ UA(T os. (T is . Yu are repnible fr a reacr in which an exhermic liqui-phae reacin ccur. The fee mu be preheae he hrehl acivain emperaure f he caaly, bu he pruc ream mu be cle. T reuce uiliy c, yu are cniering inalling

More information

Chapter 23. Geometric Optics

Chapter 23. Geometric Optics Cpter 23 Geometric Optic Ligt Wt i ligt? Wve or prticle? ot Geometric optic: ligt trvel i trigt-lie pt clled ry Ti i true if typicl ditce re muc lrger t te wvelegt Geometric Optic 2 Wt it i out eome ddreed

More information

t S kangaroo ISLAND & SOUTH AUSTRALIA TO BOOK: aide A K A Yorke Peninsula Flinders Ranges Melbourne to Adelad n

t S kangaroo ISLAND & SOUTH AUSTRALIA TO BOOK: aide A K A Yorke Peninsula Flinders Ranges Melbourne to Adelad n T C & i I Y Pi Fi i M O TO BOO: OO ILD & OUTH UTLI C +61 8 80 8678 Vii i.. i i@i.. T Pi i 31 Mh 015 T 1300 655 990 U T V D D DY OF FU O: Di (D Mh) M, W, Th, (i ) M, Th, (M O) D: i C B i 6.45 i/ H/H i i

More information

Power of Random Processes 1/40

Power of Random Processes 1/40 Power of Random Processes 40 Power of a Random Process Recall : For deerminisic signals insananeous power is For a random signal, is a random variable for each ime. hus here is no single # o associae wih

More information

CONTROL SYSTEMS. Chapter 3 : Time Response Analysis

CONTROL SYSTEMS. Chapter 3 : Time Response Analysis CONTROL SYSTEMS Chper 3 : Time Repoe Alyi GATE Objecive & Numericl Type Soluio Queio 4 [Prcice Book] [GATE EC 99 IIT-Mdr : Mrk] A uiy feedbck corol yem h he ope loop rfer fucio. 4( ) G () ( ) If he ipu

More information

Chapter 2: Evaluative Feedback

Chapter 2: Evaluative Feedback Chper 2: Evluive Feedbck Evluing cions vs. insrucing by giving correc cions Pure evluive feedbck depends olly on he cion ken. Pure insrucive feedbck depends no ll on he cion ken. Supervised lerning is

More information

VERIFICATION OF RECOVERY PROCESS UNDER THE GREAT HANSHIN-AWAJI EARTHQUAKE DISASTER BASED ON THE RECOVERY INDEX (RI)

VERIFICATION OF RECOVERY PROCESS UNDER THE GREAT HANSHIN-AWAJI EARTHQUAKE DISASTER BASED ON THE RECOVERY INDEX (RI) 13 h Wl f hqk ii V,, 1, P N 131 VIITION O OVY PO UND TH GT HNHIN-WJI THQUK DIT D ON TH OVY INDX (I) Yk KTNI 1, H HYHI UMMY Thi Kb iiz' lif i h f h G Hhi- wji hqk Di i I ( I) I hi h, h w lif l lif i, I

More information

Section P.1 Notes Page 1 Section P.1 Precalculus and Trigonometry Review

Section P.1 Notes Page 1 Section P.1 Precalculus and Trigonometry Review Secion P Noe Pge Secion P Preclculu nd Trigonomer Review ALGEBRA AND PRECALCULUS Eponen Lw: Emple: 8 Emple: Emple: Emple: b b Emple: 9 EXAMPLE: Simplif: nd wrie wi poiive eponen Fir I will flip e frcion

More information

Math 153: Lecture Notes For Chapter 1

Math 153: Lecture Notes For Chapter 1 Mth : Lecture Notes For Chpter Sectio.: Rel Nubers Additio d subtrctios : Se Sigs: Add Eples: = - - = - Diff. Sigs: Subtrct d put the sig of the uber with lrger bsolute vlue Eples: - = - = - Multiplictio

More information

CS3510 Design & Analysis of Algorithms Fall 2017 Section A. Test 3 Solutions. Instructor: Richard Peng In class, Wednesday, Nov 15, 2017

CS3510 Design & Analysis of Algorithms Fall 2017 Section A. Test 3 Solutions. Instructor: Richard Peng In class, Wednesday, Nov 15, 2017 Uer ID (NOT he 9 igi numer): gurell4 CS351 Deign & Anlyi of Algorihm Fll 17 Seion A Te 3 Soluion Inruor: Rihr Peng In l, Weney, Nov 15, 17 Do no open hi quiz ookle unil you re iree o o o. Re ll he inruion

More information

2010 Sectional Physics Solution Set

2010 Sectional Physics Solution Set . Crrec nwer: D WYSE CDEMIC CHLLENGE Secnl hyc E 00 Slun Se y 0 y 4.0 / 9.8 /.45 y. Crrec nwer: y 8 0 / 8 /. Crrec nwer: E y y 0 ( 4 / ) ( 4.9 / ) 5.6 y y 4. Crrec nwer: E 5. Crrec nwer: The e rce c n

More information

Lecture 3: Resistive forces, and Energy

Lecture 3: Resistive forces, and Energy Lecure 3: Resisive frces, and Energy Las ie we fund he velciy f a prjecile ving wih air resisance: g g vx ( ) = vx, e vy ( ) = + v + e One re inegrain gives us he psiin as a funcin f ie: dx dy g g = vx,

More information

ASHLA UO MUJJlGl PAL c OUtT. filing for office of Q 50t 5 1 Coo I 5 OS. Filing of Candidacy by Declaration ORS

ASHLA UO MUJJlGl PAL c OUtT. filing for office of Q 50t 5 1 Coo I 5 OS. Filing of Candidacy by Declaration ORS F ddy p EL v 6 GR 49 7h pub d d y b pubhd pdud p yp p by bk k ub ud dd L hw hud pp b d u K LR L V R AHLA U MUG PAL U dp p ub L 6 HwA qq u A L d dd u v zp d H b A U uy d Y q w A @ 9 Y x dd P B qq AHLP UD

More information

S Radio transmission and network access Exercise 1-2

S Radio transmission and network access Exercise 1-2 S-7.330 Rdio rnsmission nd nework ccess Exercise 1 - P1 In four-symbol digil sysem wih eqully probble symbols he pulses in he figure re used in rnsmission over AWGN-chnnel. s () s () s () s () 1 3 4 )

More information

Fluid Mechanics for International Engineers HW #2: Area Vectors, Pressure and Pressure Force, RTT, and C-Mass

Fluid Mechanics for International Engineers HW #2: Area Vectors, Pressure and Pressure Force, RTT, and C-Mass 4-65 lui echnic r Inerninl Engineer W # re ecr Preure n Preure rce TT n - Due ri Se he ISE ice 4-65 lui echnic r Inerninl Engineer W # re ecr Preure n Preure rce TT n - Prle Sic lui [ e l Prle 8 8] riine

More information

dm dt = 1 V The number of moles in any volume is M = CV, where C = concentration in M/L V = liters. dcv v

dm dt = 1 V The number of moles in any volume is M = CV, where C = concentration in M/L V = liters. dcv v Mg: Pcess Aalyss: Reac ae s defed as whee eac ae elcy lue M les ( ccea) e. dm he ube f les ay lue s M, whee ccea M/L les. he he eac ae beces f a hgeeus eac, ( ) d Usually s csa aqueus eeal pcesses eac,

More information

Chapter Introduction. 2. Linear Combinations [4.1]

Chapter Introduction. 2. Linear Combinations [4.1] Chper 4 Inrouion Thi hper i ou generlizing he onep you lerne in hper o pe oher n hn R Mny opi in hi hper re heoreil n MATLAB will no e le o help you ou You will ee where MATLAB i ueful in hper 4 n how

More information

Adver-isemen- suliber, 8 nries) PLAIN AND FANCT. forrip Sailora. starts, gtorlling5,'tv.to 'gtl. Waikiihalulu Water Lots! LARGE AND COMMODI- -,

Adver-isemen- suliber, 8 nries) PLAIN AND FANCT. forrip Sailora. starts, gtorlling5,'tv.to 'gtl. Waikiihalulu Water Lots! LARGE AND COMMODI- -, E E ERER RER p p p p x p $ p 0 p xp p p p p p p E p q 0 $ p 8 p $ 0 $ E EEER Y R ER 8 E 8 8 p EERE p p p REEREE q 8 Y p p p REEREE x E p Eq R p RE ER ER p x q EE p E E GR G p p 0 0 0 0 p x x p x p q EER

More information

FLORIDA VIRTUAL SCHOOL DRIVER EDUCATION FINAL EXAM REVIEW

FLORIDA VIRTUAL SCHOOL DRIVER EDUCATION FINAL EXAM REVIEW Mul 3: Nul F Affig Divig WHAT TO EXPECT 50 l qui 48 Mulipl Chi qui 10 f 48 R Sig 6 f 48 Tffi Lw 2 Sh w qui If hig g wg uig h x u iu iil. PLANNING A TRIP?????? Pl iv h 6-8 h p if igl iv 11 hu if w hig h

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

NO REGISTRATION FOR U.S. REDS TONIGHT IN FEE

NO REGISTRATION FOR U.S. REDS TONIGHT IN FEE H ' f l f J l l : l - -G I H IG U IV I Y L Vl 8 l L : l «GII U D IGH I V I Y U l l f ffl U l J f l f f U " ll ff f ll l x f ffl " ff l f f I " I l l ffl ff " " f l f ll " " I l f f l J ff l " " I f ll

More information

R'sorucróN E*ENTA. *"jn4?l? / 31'12'17

R'sorucróN E*ENTA. *jn4?l? / 31'12'17 SR& LQ ALSYA RÉ D LS RíS DPT, SDiR RÉRSS iss Y AiRS SDPT, D RÉRS ARS VS/H RM/B M 2 APRBA PRSPST VT AÑ 23 DL SRV DÉ 5ALD VALDVA, SÚ LTY "2.41. R'u TA. "4?? / 31'12'17 VALDVA, VSTS: i ' iu D Ly \23175 i

More information

PI3B

PI3B 234789023478902347890223478902347890234789022347890234789023478902234789023478902347890223478902 Feaures Near-Zero propagaio delay -ohm swiches coec ipus o oupus Fas Swichig Speed - 4s max Permis Ho Iserio

More information

by Fdruary,2015 It may. kindly be eosured that a copy of deposit slip is supflied to this for All the Principals/HMs,

by Fdruary,2015 It may. kindly be eosured that a copy of deposit slip is supflied to this for All the Principals/HMs, .DBS(B) (10)/2014 3, /l 2' Oi.e he Depy Direr Hiher din Bilpr Diri Bilpr (). Tele phne /x 01978 2228 emil ddhebilpredinil.m '. Ded Bilpr 174001,rr he,. ' i i, lj by drry,201 All he rinipl/hm, Di Bilp"i)

More information

T HE 1017TH MEETING OF THE BRODIE CLUB The 1017th Meeting of the Brodie Club was held at 7:30 pm on January 15, 2008 in the R amsay Wright Laboratorie

T HE 1017TH MEETING OF THE BRODIE CLUB The 1017th Meeting of the Brodie Club was held at 7:30 pm on January 15, 2008 in the R amsay Wright Laboratorie 1017 MN OF BRO LUB 1017h M Bi lu hl 7:30 u 15, 2008 R Wih Li Uivi. hi: : A h 28 u. u: hl M, u A i u, u vi ull R : K Ah, Oliv B, Bill Rl N W BUN: M u vl: l v, Bu Fll, v ull l B u Fll i Fu k ul M, l u u

More information

MODEL CODING W HEATER OPTIONS

MODEL CODING W HEATER OPTIONS -PH M 80V - 00V -PH M - MP HIGH-LIMI (HMWLL) V - 80V -PH WIIG HMI - MP HIGH-LIMI (MBI I) PB M HM () HM () H VLG 0-0V 0-0V 0-0V 80-80V - V 0-0V MDL I PH - PH - PH - QY 0-0 HZ MDL DIG 0 0-0 - W H KILW 0

More information

DERIVING THE DEMAND CURVE ASSUMING THAT THE MARGINAL UTILITY FUNCTIONS ARE LINEAR

DERIVING THE DEMAND CURVE ASSUMING THAT THE MARGINAL UTILITY FUNCTIONS ARE LINEAR Bllei UASVM, Horilre 65(/008 pissn 1843-554; eissn 1843-5394 DERIVING THE DEMAND CURVE ASSUMING THAT THE MARGINAL UTILITY FUNCTIONS ARE LINEAR Crii C. MERCE Uiveriy of Agrilrl iee d Veeriry Mediie Clj-Npo,

More information

A New Three-Frequency, Geometry-Free, Technique for Ambiguity Resolution

A New Three-Frequency, Geometry-Free, Technique for Ambiguity Resolution A New Three-Frequey, Geometry-Free, Tehique or Amiguity Reolutio Rold R. Hth, NvCom Tehology, I. BIOGRAPHY Rold R. Hth w oe o the ouder o NvCom Tehology, Joh Deere Compy, d i urretly the Diretor o Nvigtio

More information

42. (20 pts) Use Fermat s Principle to prove the law of reflection. 0 x c

42. (20 pts) Use Fermat s Principle to prove the law of reflection. 0 x c 4. (0 ts) Use Femt s Piile t ve the lw eleti. A i b 0 x While the light uld tke y th t get m A t B, Femt s Piile sys it will tke the th lest time. We theee lulte the time th s uti the eleti it, d the tke

More information

e) Dates of Violation(S) reference ( page of report /data sheet): March 25, 2010, page 2

e) Dates of Violation(S) reference ( page of report /data sheet): March 25, 2010, page 2 e) tes f Vilti(S) referee ( pge f reprt /dt sheet): Mrh 25, 2, pge 2 ) Explti f use(s): gig trtrs wrkig rretig plt defiieies, d trubleshtig filter prbles. g) rretie ti(s): trtrs d P re wrkig t rret prbles

More information

Dangote Flour Mills Plc

Dangote Flour Mills Plc SUMMARY OF OFFER Opening Date 6 th September 27 Closing Date 27 th September 27 Shares on Offer 1.25bn Ord. Shares of 5k each Offer Price Offer Size Market Cap (Post Offer) Minimum Offer N15. per share

More information

The automatic optimal control process for the operation changeover of heat exchangers

The automatic optimal control process for the operation changeover of heat exchangers Te aua pal rl pre fr e pera agever f ea exager K. L. Lu B. eeyer 4 & M. L very f e Feeral Are Fre Haburg Geray very f Saga fr See & Telgy P. R. Ca Tg J very P. R. Ca 4 GKSS Reear Cere Geray Abra Crl prble

More information

ROUTH-HURWITZ CRITERION

ROUTH-HURWITZ CRITERION Automti Cotrol Sytem, Deprtmet of Mehtroi Egieerig, Germ Jordi Uiverity Routh-Hurwitz Criterio ite.google.om/ite/ziydmoud 7 ROUTH-HURWITZ CRITERION The Routh-Hurwitz riterio i lytil proedure for determiig

More information

Bipartite Matching. Matching. Bipartite Matching. Maxflow Formulation

Bipartite Matching. Matching. Bipartite Matching. Maxflow Formulation Mching Inpu: undireced grph G = (V, E). Biprie Mching Inpu: undireced, biprie grph G = (, E).. Mching Ern Myr, Hrld äcke Biprie Mching Inpu: undireced, biprie grph G = (, E). Mflow Formulion Inpu: undireced,

More information

Design of Diaphragm Micro-Devices. (Due date: Nov 2, 2017)

Design of Diaphragm Micro-Devices. (Due date: Nov 2, 2017) Design f Diphrgm Micr-Devices (Due de: Nv, 017) 1. Bckgrund A number f micr-devices depend upn diphrgm fr heir perin. Such devices re vlve, pump, nd pressure sensr. The generlized mdel f hese devices is

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

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

13.4 Scalar Kalman Filter

13.4 Scalar Kalman Filter 13.4 Scalar Kalma Filter Data Model o derive the Kalma filter we eed the data model: a 1 + u < State quatio > + w < Obervatio quatio > Aumptio 1. u i zero mea Gauia, White, u } σ. w i zero mea Gauia, White,

More information

Mixed Upland Lowland Aspen, Spruce/Fir High Density Mixed Northern Maple, Beech,

Mixed Upland Lowland Aspen, Spruce/Fir High Density Mixed Northern Maple, Beech, Rge Commes: Pge 1 of 4 1 4319 - Mixe Upl Fores 11.5 113 Mixe s wih vrible species. 4 6117 - Lowl 8.8 1 5 4134 - Aspe, Spruce/Fir 1.4 15 Cu i 1993 o Ol Hericks Birch II. Mos of he s is i comp 166 s 3. 6

More information

ANSWERS TO ODD NUMBERED EXERCISES IN CHAPTER

ANSWERS TO ODD NUMBERED EXERCISES IN CHAPTER John Riley 6 December 200 NWER TO ODD NUMBERED EXERCIE IN CHPTER 7 ecion 7 Exercie 7-: m m uppoe ˆ, m=,, M (a For M = 2, i i eay o how ha I implie I From I, for any probabiliy vecor ( p, p 2, 2 2 ˆ ( p,

More information

graph of unit step function t

graph of unit step function t .5 Piecewie coninuou forcing funcion...e.g. urning he forcing on nd off. The following Lplce rnform meril i ueful in yem where we urn forcing funcion on nd off, nd when we hve righ hnd ide "forcing funcion"

More information

Tools Hypothesis Tests

Tools Hypothesis Tests Tool Hypothei Tet The Tool meu provide acce to a Hypothei Tet procedure that calculate cofidece iterval ad perform hypothei tet for mea, variace, rate ad proportio. It i cotrolled by the dialog box how

More information

Reinforcement Learning

Reinforcement Learning Reiforceme Corol lerig Corol polices h choose opiml cios Q lerig Covergece Chper 13 Reiforceme 1 Corol Cosider lerig o choose cios, e.g., Robo lerig o dock o bery chrger o choose cios o opimize fcory oupu

More information

A GUIDE TO TRAVEL AND PARKING

A GUIDE TO TRAVEL AND PARKING TAVEL & PAKING Ah G Siu SGS Cg, ISE Cpu A GUIDE TO TAVEL AND PAKING Ah G Siu, h f Bi Ci FC & Bi ugb SGS Cg, ISE Cpu h h f Bi F & Bi Ci Ah G Siu Ah Bi BS3 2EJ O TO GET TO ASTON GATE BY FOOT Th iu i i ccib

More information

1. The 0.1 kg particle has a speed v = 10 m/s as it passes the 30 position shown. The coefficient of kinetic friction between the particle and the

1. The 0.1 kg particle has a speed v = 10 m/s as it passes the 30 position shown. The coefficient of kinetic friction between the particle and the 1. The 0.1 kg pticle h peed v = 10 m/ it pe the 30 poitio how. The coefficiet of kietic fictio betwee the pticle d the veticl ple tck i m k = 0.0. Detemie the mgitude of the totl foce exeted by the tck

More information

Types Ideals on IS-Algebras

Types Ideals on IS-Algebras Ieraioal Joural of Maheaical Aalyi Vol. 07 o. 3 635-646 IARI Ld www.-hikari.co hp://doi.org/0.988/ija.07.7466 Type Ideal o IS-Algebra Sudu Najah Jabir Faculy of Educaio ufa Uiveriy Iraq Copyrigh 07 Sudu

More information

Note 7 Root-Locus Techniques

Note 7 Root-Locus Techniques Lecture Note of Cotrol Syte I - ME 43/Alyi d Sythei of Lier Cotrol Syte - ME862 Note 7 Root-Locu Techique Deprtet of Mechicl Egieerig, Uiverity Of Sktchew, 57 Cpu Drive, Sktoo, S S7N 5A9, Cd Lecture Note

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