RF circuits design Grzegorz Beziuk. Introduction. Basic definitions and parameters. References
|
|
- Imogene Amberlynn Douglas
- 5 years ago
- Views:
Transcription
1 RF cicuit dign Gzgoz Bziuk ntoduction. Bic dinition nd pmt Rnc [] Titz., Schnk C., Ectonic cicuit : hndook o dign nd ppiction, Sping 8 [] Goio M., RF nd micowv piv nd ctiv tchnoogi in: RF nd Micowv hndook, 8, CRC P To nd Fnci Goup [3] Goio M., RF nd micowv ppiction nd tm in: RF nd Micowv hndook, 8, CRC P To nd Fnci Goup [4] Mxim, Appiction Not 74, mpdnc Mtching nd th Smith Cht: Th Fundmnt, AN 74,, Mxim
2 ntoduction * Tkn om RF nd micowv piv nd ctiv tchnoogi in: RF nd Micowv hndook Goio M. [] ntoduction Componnt dimnion tiv to ign wvnght. < λ/ ph hit i ngctd, umpd mnt > λ/ ph hit cn not ngctd, ditiutd cicuit dciption * Tkn om RF nd micowv piv nd ctiv tchnoogi in: RF nd Micowv hndook Goio M. []
3 ntoduction Sv common guidd wv tuctu: coxi c, ctngu wvguid, tipin, micotip, copn wvguid * Tkn om RF nd micowv piv nd ctiv tchnoogi in: RF nd Micowv hndook Goio M. [] ntoduction Micowv nd RF qunc induti nd EEE nd digntion * Tkn om RF nd micowv piv nd ctiv tchnoogi in: RF nd Micowv hndook Goio M. []
4 ntoduction. S. Miit qunc nd digntion * Tkn om RF nd micowv piv nd ctiv tchnoogi in: RF nd Micowv hndook Goio M. [] ntoduction Wn RF SM Bnd (nduti, Scintiic nd Mdic nd). Opting chnn o dict qunc * Tkn om RF nd micowv ppiction nd tm in : RF nd Micowv hndook Goio M. [3]
5 ntoduction Attnution o ctomgntic ign in tmo * Tkn om RF nd micowv piv nd ctiv tchnoogi in: RF nd Micowv hndook Goio M. [] Tnmiion in Co ction nd id in o th coxi nd th mmtic c * Tkn om Ectonic cicuit : hndook o dign nd ppiction Titz., Schnk C. []
6 Tnmiion in [ ] Ω o W H E ε ε µ π ε ε µ µ µ 377 Wv impdnc o tnmiion in: o p c c v ε µ ε µ Vocit o th wv popgtion in tnmiion in: Wh µ, ε mgntic nd ctic pmitiviti, pctiv, c i th ight vocit in th pc c 3* 8 [m/]. Tnmiion in Chctitic impdnc o tnmiion in: n n d d d d k i W g W π π Ω Ω ] [ n ] [ n 6 d d d d i ε ε
7 Tnmiion in Equivnt cicuit o n incmnt ngth o tnmiion in. A init ngth o tnmiion in cn modd i conctntion o ction o thi om. Tnmiion in W cn wit th oowing qution: Whn w pc: ( R' dz jωl' dz) ( G' dz jωc' dz) d d Thn w divid qution dz, nd uming tht ngth o th in ction tnd to : dz,,
8 Tnmiion in W gt th oowing qution: d ( R' jωl' ) dz d ( G' jωc' ) dz Whn w dintit it qution z nd thn put cond qution into otind dinti qution w wi gt tnmiion in qution: d ' dz ( R' jω L' )( G' jωc ) Th oution o thi qution i Tnmiion in z z ( z) Wh i popgtion contnt: ( R' jωl' )( G' jωc' ) Fo th ow o in th popgtion contnt i dcid th qution: R' C' G' L' jω L' C' L ' C ' β α
9 Tnmiion in α it i mnt ttnution contnt β it i mnt ph hit contnt n th c o o tnmiion in (R G ) ttnution i qu to zo. Whn w wit: u ( t, z) R ( z) u jωt jωtz jωt z { } R{ } αz ( ωt βz ϕ ) co( ωt βz ϕ ) αz co incidnt _ wv ( t, z) u ( t, z) ctd _ wv Tnmiion in ncidnt wv in tnmiion in in th tim T o nd ¼ o th piod t. Rctd wv in tnmiion in in th tim T o nd ¼ o th piod t. * Tkn om Ectonic cicuit : hndook o dign nd ppiction Titz., Schnk C. []
10 Tnmiion in Fo incidnt wv: ' ' L C dt dz v z t p β ω ϕ β ω Wv ngth: v L C p ' ' β π λ π βλ Fo ctomgntic wv in th pc wv nght i givn qution: c λ Tnmiion in Chctitic impdnc o th in i givn xpion: ' ' ' ' C j G L j R ω ω Th incidnt nd ctd cunt wv in th in givn qution: z z z z Fo o in: ' ' C L
11 Tnmiion in Attnution o tpic coxi 5Ω c in th vu o qunc * Tkn om Ectonic cicuit : hndook o dign nd ppiction Titz., Schnk C. [] Tnmiion in α jβ Fou-po pnttion o th tnmiion in z
12 Tnmiion in Votg on th in tmin: Cunt on th in tmin: Tnmiion in Now w gt th oowing xpion: Rctd wv dpnd on od itnc o th in. w connct to th nd o th in itnc R ctd wv i qu to zo.
13 Tnmiion in Thn w otin xpion: ( ) ( ) ( ) ( ) o ( ) ) coh( ( ) ) inh( Tnmiion in Fo th tnmiion in odd it impdnc it input impdnc i givn xpion: ( ) ( ) tgh tgh W otin ou po qution o tnmiion in: ( ) ( ) ( ) ( ) coh coh inh coh z α jβ N
14 Tnmiion in * Tkn om Ectonic cicuit : hndook o dign nd ppiction Titz., Schnk C. [] Tnmiion in n th c o in ctic hot (<λ) N. Fo th in o nght λ/4: nput impdnc o th in opnd t th nd (o < λ/8): j ω C' j ω C n th c o th in hot t th nd (o < λ/8): jω L' jωl
15 Rction coicint Rtionhip twn votg, cunt nd chctitic impdnc o th tnmiion in: Both, incidnt nd ctd wv coud dcid on pmt. Tho wv pmt o th in givn xpion: ncidnt wv Rctd wv Rction coicint nd dci pow o incidnt nd ctd wv: Fo tnmittd pow: P R [ ] [ ] VA W P R * { } * { } Whn w tk into conidtion votg nd cunt:
16 Rction coicint Thn: ( ) ( ) And in: Rction coicint Dinition o th ction coicint: ( ) wv incidnt wv ctd coicint ction Γ Γ O: Γ Γ
17 Rction coicint jm{} jm{γ} j Γ R{} - R{Γ} Γ -j Rction coicint Mtching,, Γ Shotd nd o th in Opn nd o th in, -, Γ -, P P,, Γ, P P Ritiv od R, < R <, - < Γ < nductiv od R() nd m() >, Γ nd < g(γ) < π. Cpcitiv od R() nd m() <, Γ nd -π < g(γ) <.
18 Rction coicint jm{γ} inductiv jωl Γ j j, L jω j itiv-inductiv (hot) L L R R - Γ C C R{Γ} opn Γ cpcitiv jωc itiv R Γ j j, C ω -j mtching Γ itiv-cpcitiv Rction coicint Fo piv cicuit th pow mmiion o od itnc w i poitiv o qu to zo: ( P P P Γ ) W cn din th Pow Tnmiion Fcto: k P Γ Γ
19 Rction coicint Mgnitud o th ction coicint nd pow tnmiion cto o dint od itnc * Tkn om Ectonic cicuit : hndook o dign nd ppiction Titz., Schnk C. [] Rction coicint Γ α jβ Γ Γ Γ z Γ α jβ Tnmiion in inunc on ction coicint it cu it ttnution nd ph hit ik tnom.
20 Votg tnding wv tio * Tkn om Ectonic cicuit : hndook o dign nd ppiction Titz., Schnk C. [] Votg tnding wv tio Votg tnding wv tio: VSWR mx min Γ Γ R pow tnmiion: Pmx P VSWR Fo th u mtching VSWR i qu to nd P P mx
21 Wv ouc mtching g g Γ g g g α jβ z g g Γ g g g Γ Lin input votg: Wv ouc mtching g g g g g g g g ( Γg ) ( Γ ) n th c o u mtching th gnto nd th in: g g g
22 mpdnc mtching Smith Cht S-pmt... - cting pmt
23 S-pmt S th input ction coicint Γ [ S] Γ L R L Γ Γ Γ L RL S w cn u to dtmin th input impdnc o cicuit: Γ R L Γ R L RL S-pmt S tun tnmiion coicint R g Γ g [ S] Γ
24 S-pmt S owd tnmiion coicint R g g g g [ S] R L A u Rg RL g S-pmt S output ction coicint R g Γ g [ S] Γ Γ Γ Γ g Rg S w cn u to dtmin th output impdnc o cicuit: OT Γ R g Γ R g Rg
25 Y nd S-pmt ( ) ( ) ( ) ( ) ( ) ( ) S-pmt o ipo tnito Bipo tnito hd π mod, without c Bipo tnito hd π mod, with tking into conidtion c pmt * Tkn om Ectonic cicuit : hndook o dign nd ppiction Titz., Schnk C. []
26 S-pmt o ipo tnito * Tkn om Ectonic cicuit : hndook o dign nd ppiction Titz., Schnk C. [] S-pmt o ipo tnito * Tkn om Ectonic cicuit : hndook o dign nd ppiction Titz., Schnk C. []
27 Noi Figu Noi cto: S R F S R in out Noi igu (o tmptu T 9K): S R F og, S R out in ( F ) og S Rin, db S Rout db
Who is this Great Team? Nickname. Strangest Gift/Friend. Hometown. Best Teacher. Hobby. Travel Destination. 8 G People, Places & Possibilities
Who i thi Gt Tm? Exi Sh th foowing i of infomtion bot of with o tb o tm mt. Yo o not hv to wit n of it own. Yo wi b givn on 5 mint to omih thi tk. Stngt Gift/Fin Niknm Homtown Bt Th Hobb Tv Dtintion Robt
More informationTransmission Line Theory
S. R. Zinka zinka@vit.ac.in School of Electronics Engineering Vellore Institute of Technology April 26, 2013 Outline 1 Free Space as a TX Line 2 TX Line Connected to a Load 3 Some Special Cases 4 Smith
More informationELEC 351 Notes Set #18
Assignmnt #8 Poblm 9. Poblm 9.7 Poblm 9. Poblm 9.3 Poblm 9.4 LC 35 Nots St #8 Antnns gin nd fficincy Antnns dipol ntnn Hlf wv dipol Fiis tnsmission qution Fiis tnsmission qution Do this ssignmnt by Novmb
More informationE F. and H v. or A r and F r are dual of each other.
A Duality Thom: Consid th following quations as an xampl = A = F μ ε H A E A = jωa j ωμε A + β A = μ J μ A x y, z = J, y, z 4π E F ( A = jω F j ( F j β H F ωμε F + β F = ε M jβ ε F x, y, z = M, y, z 4π
More informationsin sin 1 d r d Ae r 2
Diffction k f c f Th Huygn-Fnl Pincil tt: Evy unobtuct oint of vfont, t givn intnt, v ouc of hicl cony vlt (ith th m funcy tht of th imy v. Th mlitu of th oticl fil t ny oint byon i th uoition of ll th
More informationStudy Material with Classroom Practice solutions. To Electromagnetic Theory CONTENTS. 01 Static Fields Maxwell Equations & EM Waves 06 11
Pg No. Stud Mtil with lssoom Pctic solutions To lctomgntic Tho ONTNTS hpt No. Nm of th hpt Pg No. Sttic Filds 5 Mwll qutions & M Wvs 6 Tnsmission ins Wvguids 5 6 5 lmnts of ntnns 7 hpt. ns: V cos cos î
More informationEECE 301 Signals & Systems Prof. Mark Fowler
EECE 301 Signls & Systms Pf. Mk Fwl Discussin #1 Cmplx Numbs nd Cmplx-Vlud Functins Rding Assignmnt: Appndix A f Kmn nd Hck Cmplx Numbs Cmplx numbs is s ts f plynmils. Dfinitin f imginy # j nd sm sulting
More information1.3 Sinusoidal Steady State
1.3 Sinusoidal Steady State Electromagnetics applications can be divided into two broad classes: Time-domain: Excitation is not sinusoidal (pulsed, broadband, etc.) Ultrawideband communications Pulsed
More informationDifferential Kinematics
Lctu Diffntia Kinmatic Acknowgmnt : Pof. Ouama Khatib, Robotic Laboato, tanfo Univit, UA Pof. Ha Aaa, AI Laboato, MIT, UA Guiing Qution In obotic appication, not on th poition an ointation, but th vocit
More informationPath (space curve) Osculating plane
Fo th cuilin motion of pticl in spc th fomuls did fo pln cuilin motion still lid. But th my b n infinit numb of nomls fo tngnt dwn to spc cu. Whn th t nd t ' unit ctos mod to sm oigin by kping thi ointtions
More informationPart II, Measures Other Than Conversion I. Apr/ Spring 1
Pt II, Msus Oth hn onvsion I p/7 11 Sping 1 Pt II, Msus Oth hn onvsion II p/7 11 Sping . pplictions/exmpls of th RE lgoithm I Gs Phs Elmnty Rction dditionl Infomtion Only fd P = 8. tm = 5 K =. mol/dm 3
More informationC-Curves. An alternative to the use of hyperbolic decline curves S E R A F I M. Prepared by: Serafim Ltd. P. +44 (0)
An ltntiv to th us of hypolic dclin cuvs Ppd y: Sfim Ltd S E R A F I M info@sfimltd.com P. +44 (02890 4206 www.sfimltd.com Contnts Contnts... i Intoduction... Initil ssumptions... Solving fo cumultiv...
More informationTopic 5: Transmission Lines
Topic 5: Transmission Lines Profs. Javier Ramos & Eduardo Morgado Academic year.13-.14 Concepts in this Chapter Mathematical Propagation Model for a guided transmission line Primary Parameters Secondary
More informationEECS 117 Lecture 3: Transmission Line Junctions / Time Harmonic Excitation
EECS 117 Lecture 3: Transmission Line Junctions / Time Harmonic Excitation Prof. Niknejad University of California, Berkeley University of California, Berkeley EECS 117 Lecture 3 p. 1/23 Transmission Line
More informationCBSE , ˆj. cos CBSE_2015_SET-1. SECTION A 1. Given that a 2iˆ ˆj. We need to find. 3. Consider the vector equation of the plane.
CBSE CBSE SET- SECTION. Gv tht d W d to fd 7 7 Hc, 7 7 7. Lt,. W ow tht.. Thus,. Cosd th vcto quto of th pl.. z. - + z = - + z = Thus th Cts quto of th pl s - + z = Lt d th dstc tw th pot,, - to th pl.
More informationDefects in the traditional analogy between the dipolar structure of a circular current and a simple electric dipole
Dfct in th titionl nlog twn th iol tuctu of cicul cunt n il lctic iol M Chiw hic Dtnt cult of Scinc ngining n Tchnolog Wlt Siulu Univit /Bg X Nlon Mnl Div Mthth 57 South Afic. -il: chiw@wu.c. Atct. It
More informationTransmission Lines in the Frequency Domain
Berkeley Transmission Lines in the Frequency Domain Prof. Ali M. Niknejad U.C. Berkeley Copyright c 2016 by Ali M. Niknejad August 30, 2017 1 / 38 Why Sinusoidal Steady-State? 2 / 38 Time Harmonic Steady-State
More informationIntegration Continued. Integration by Parts Solving Definite Integrals: Area Under a Curve Improper Integrals
Intgrtion Continud Intgrtion y Prts Solving Dinit Intgrls: Ar Undr Curv Impropr Intgrls Intgrtion y Prts Prticulrly usul whn you r trying to tk th intgrl o som unction tht is th product o n lgric prssion
More informationMOS transistors (in subthreshold)
MOS tanito (in ubthhold) Hitoy o th Tanito Th tm tanito i a gnic nam o a olid-tat dvic with 3 o mo tminal. Th ild-ct tanito tuctu wa it dcibd in a patnt by J. Lilinld in th 193! t took about 4 ya bo MOS
More informationSchool of Electrical and Computer Engineering ECE2040 Dr. George F. Riley Summer 2007, GT Lorraine Analysis of LRC with Sinusoidal Sources
School of Electrical and Computer Engineering ECE2040 Dr. George F. Riley Summer 2007, GT Lorraine Analysis of LRC with Sinusoidal Sources In chapter 8 in the textbook, we determined that if the forcing
More informationUNIT # 08 (PART - I)
. r. d[h d[h.5 7.5 mol L S d[o d[so UNIT # 8 (PRT - I CHEMICL INETICS EXERCISE # 6. d[ x [ x [ x. r [X[C ' [X [[B r '[ [B [C. r [NO [Cl. d[so d[h.5 5 mol L S d[nh d[nh. 5. 6. r [ [B r [x [y r' [x [y r'
More informationKey Ideas So Far. University of California, Berkeley
EE 105 F 2016 Ky I So Fr Pro. A. M. iknj 1 Univrity o Ciorni, Brky EE 105 F 2016 Sov or tion Lngth Pro. A. M. iknj W hv two qution n two unknown. W r iny in oition to ov or th tion th q 2 n n0 2 q 2 2
More informationThe Z transform techniques
h Z trnfor tchniqu h Z trnfor h th rol in dicrt yt tht th Lplc trnfor h in nlyi of continuou yt. h Z trnfor i th principl nlyticl tool for ingl-loop dicrt-ti yt. h Z trnfor h Z trnfor i to dicrt-ti yt
More informationTheory of Spatial Problems
Chpt 7 ho of Sptil Polms 7. Diffntil tions of iliim (-D) Z Y X Inol si nknon stss componnts:. 7- 7. Stt of Stss t Point t n sfc ith otd noml N th sfc componnts ltd to (dtmind ) th 6 stss componnts X N
More informationLecture 2: Frequency domain analysis, Phasors. Announcements
EECS 5 SPRING 24, ctu ctu 2: Fquncy domain analyi, Phao EECS 5 Fall 24, ctu 2 Announcmnt Th cou wb it i http://int.c.bkly.du/~5 Today dicuion ction will mt Th Wdnday dicuion ction will mo to Tuday, 5:-6:,
More informationCBSE SAMPLE PAPER SOLUTIONS CLASS-XII MATHS SET-2 CBSE , ˆj. cos. SECTION A 1. Given that a 2iˆ ˆj. We need to find
BSE SMLE ER SOLUTONS LSS-X MTHS SET- BSE SETON Gv tht d W d to fd 7 7 Hc, 7 7 7 Lt, W ow tht Thus, osd th vcto quto of th pl z - + z = - + z = Thus th ts quto of th pl s - + z = Lt d th dstc tw th pot,,
More informationTries and Suffix Trees. Inge Li Gørtz
Tri nd Suffix Tr Ing Li Gørtz String indxing prom String mtcing prom. Givn tring T (txt) nd P (pttrn) ovr n pt Σ, rport trting poition of occurrnc of P in T. Finit utomton: O(mΣ + n) tim nd pc KMP: O(m+n)
More informationLecture 35. Diffraction and Aperture Antennas
ctu 35 Dictin nd ptu ntnns In this lctu u will ln: Dictin f lctmgntic ditin Gin nd ditin pttn f ptu ntnns C 303 Fll 005 Fhn Rn Cnll Univsit Dictin nd ptu ntnns ptu ntnn usull fs t (mtllic) sht with hl
More informationCHAPTER 5 CIRCULAR MOTION
CHAPTER 5 CIRCULAR MOTION and GRAVITATION 5.1 CENTRIPETAL FORCE It is known that if a paticl mos with constant spd in a cicula path of adius, it acquis a cntiptal acclation du to th chang in th diction
More informationAssistant Professor: Zhou Yufeng. N , ,
Aitnt Pofeo: Zhou Yufeng N3.-0-5, 6790-448, yfzhou@ntu.edu.g http://www3.ntu.edu.g/home/yfzhou/coue.html . A pojectile i fied t flling tget hown. The pojectile lee the gun t the me intnt tht the tget dopped
More informationECE 6340 Intermediate EM Waves. Fall Prof. David R. Jackson Dept. of ECE. Notes 7
ECE 634 Intermediate EM Waves Fall 16 Prof. David R. Jackson Dept. of ECE Notes 7 1 TEM Transmission Line conductors 4 parameters C capacitance/length [F/m] L inductance/length [H/m] R resistance/length
More informationModule 6: Two Dimensional Problems in Polar Coordinate System
Modl6/Lon Modl 6: Two Dimnional Poblm in Pola Coodinat Stm 6 INTRODUCTION I n an laticit poblm th pop choic o th coodinat tm i tml impotant c thi choic tablih th complit o th mathmatical pion mplod to
More informationAakash. For Class XII Studying / Passed Students. Physics, Chemistry & Mathematics
Aakash A UNIQUE PPRTUNITY T HELP YU FULFIL YUR DREAMS Fo Class XII Studying / Passd Studnts Physics, Chmisty & Mathmatics Rgistd ffic: Aakash Tow, 8, Pusa Road, Nw Dlhi-0005. Ph.: (0) 4763456 Fax: (0)
More informationMulti-Section Coupled Line Couplers
/0/009 MultiSction Coupld Lin Couplrs /8 Multi-Sction Coupld Lin Couplrs W cn dd multipl coupld lins in sris to incrs couplr ndwidth. Figur 7.5 (p. 6) An N-sction coupld lin l W typiclly dsign th couplr
More informationExtinction Ratio and Power Penalty
Application Not: HFAN-.. Rv.; 4/8 Extinction Ratio and ow nalty AVALABLE Backgound Extinction atio is an impotant paamt includd in th spcifications of most fib-optic tanscivs. h pupos of this application
More informationSTRIPLINES. A stripline is a planar type transmission line which is well suited for microwave integrated circuitry and photolithographic fabrication.
STIPLINES A tiplin i a plana typ tanmiion lin hih i ll uitd fo mioav intgatd iuity and photolithogaphi faiation. It i uually ontutd y thing th nt onduto of idth, on a utat of thikn and thn oving ith anoth
More informationLayout-Optimization of Power-Devices. Frederik Vanaverbeke, J. Das, H. Oprins, J. Derluyn, M. Germain, W. De Raedt
Layout-Optimization of Power-Devices Frederik Vanaverbeke, J. Das, H. Oprins, J. Derluyn, M. Germain, W. De Raedt Outline 1. Problem + Nomenclature 2. Unit gatewidth 3. Thermal 4. Number of unit cells
More informationDeterminizations and non-determinizations for semantics. Ana Sokolova University of Salzburg
Dtminiztion nd non-dtminiztion fo mntic An Sokolov Univity of Slzug Shonn NII Mting on oinduction, 9.0.03 wo pt. tgoicl ttmnt of dtminiztion joint wok with Bt Jco nd Alxnd Silv MS 0 JSS in pption. Non-dtminiztion
More informationCurrent Status of Orbit Determination methods in PMO
unt ttus of Obit Dtintion thods in PMO Dong Wi, hngyin ZHO, Xin Wng Pu Mountin Obsvtoy, HINEE DEMY OF IENE bstct tit obit dtintion OD thods hv vovd ot ov th st 5 ys in Pu Mountin Obsvtoy. This tic ovids
More informationOrder Statistics from Exponentiated Gamma. Distribution and Associated Inference
It J otm Mth Scc Vo 4 9 o 7-9 Od Stttc fom Eottd Gmm Dtto d Aoctd Ifc A I Shw * d R A Bo G og of Edcto PO Bo 369 Jddh 438 Sd A G og of Edcto Dtmt of mthmtc PO Bo 469 Jddh 49 Sd A Atct Od tttc fom ottd
More informationLecture 3.2: Cosets. Matthew Macauley. Department of Mathematical Sciences Clemson University
Lctu 3.2: Costs Matthw Macauly Dpatmnt o Mathmatical Scincs Clmson Univsity http://www.math.clmson.du/~macaul/ Math 4120, Modn Algba M. Macauly (Clmson) Lctu 3.2: Costs Math 4120, Modn Algba 1 / 11 Ovviw
More informationABREVIATION BLK(24) BLU(24) BRN(24) GRN(24) GRN/YEL(24) GRY(24) ORG(24) RED(24) YEL(24) BLK
MGNTIC DOO INTLOCK / N/O 4677: INTLOCK 4676: KY STIK GY MGY ST COOLING FNS 85: VDC FN 60MM T: FN OINTTION SHOULD XTCT WM I FOM CS. V VITION (4) LU(4) N(4) (4) /(4) GY(4) OG(4) (4) (4) LU N / GY GY/ GY/
More informationSchool of Electrical Engineering. Lecture 2: Wire Antennas
School of lctical ngining Lctu : Wi Antnnas Wi antnna It is an antnna which mak us of mtallic wis to poduc a adiation. KT School of lctical ngining www..kth.s Dipol λ/ Th most common adiato: λ Dipol 3λ/
More informationP a g e 5 1 of R e p o r t P B 4 / 0 9
P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e
More information20.2. The Transform and its Inverse. Introduction. Prerequisites. Learning Outcomes
The Trnform nd it Invere 2.2 Introduction In thi Section we formlly introduce the Lplce trnform. The trnform i only pplied to cul function which were introduced in Section 2.1. We find the Lplce trnform
More informationChapter 9. Optimization: One Choice Variable. 9.1 Optimum Values and Extreme Values
RS - Ch 9 - Optimization: On Vaiabl Chapt 9 Optimization: On Choic Vaiabl Léon Walas 8-9 Vildo Fdico D. Pato 88 9 9. Optimum Valus and Etm Valus Goal vs. non-goal quilibium In th optimization pocss, w
More informationLeft-Handed (LH) Structures and Retrodirective Meta-Surface
Left-Handed (LH Structures and Retrodirective Meta-Surface Christophe Caloz, Lei Liu, Ryan Miyamoto and Tatsuo Itoh Electrical Engineering Department University of California, Los Angeles AGENDA I. LH
More informationCOMPSCI 230 Discrete Math Trees March 21, / 22
COMPSCI 230 Dict Math Mach 21, 2017 COMPSCI 230 Dict Math Mach 21, 2017 1 / 22 Ovviw 1 A Simpl Splling Chck Nomnclatu 2 aval Od Dpth-it aval Od Badth-it aval Od COMPSCI 230 Dict Math Mach 21, 2017 2 /
More informationThis immediately suggests an inverse-square law for a "piece" of current along the line.
Electomgnetic Theoy (EMT) Pof Rui, UNC Asheville, doctophys on YouTube Chpte T Notes The iot-svt Lw T nvese-sque Lw fo Mgnetism Compe the mgnitude of the electic field t distnce wy fom n infinite line
More informationFSA. CmSc 365 Theory of Computation. Finite State Automata and Regular Expressions (Chapter 2, Section 2.3) ALPHABET operations: U, concatenation, *
CmSc 365 Thory of Computtion Finit Stt Automt nd Rgulr Exprssions (Chptr 2, Sction 2.3) ALPHABET oprtions: U, conctntion, * otin otin Strings Form Rgulr xprssions dscri Closd undr U, conctntion nd * (if
More informationIn Review: A Single Cycle Datapath We have everything! Now we just need to know how to BUILD CONTROL
S6 L2 PU ign: ontol II n Piplining I () int.c.bly.u/~c6c S6 : Mchin Stuctu Lctu 2 PU ign: ontol II & Piplining I Noh Johnon 2-7-26 In Rviw: Singl ycl tpth W hv vything! Now w jut n to now how to UIL NRL
More informationWinnie flies again. Winnie s Song. hat. A big tall hat Ten long toes A black magic wand A long red nose. nose. She s Winnie Winnie the Witch.
Wnn f gn ht Wnn Song A g t ht Tn ong to A k g wnd A ong d no. no Sh Wnn Wnn th Wth. y t d to A ong k t Bg gn y H go wth Wnn Whn h f. wnd ootk H Wu Wu th t. Ptu Dtony oo hopt oon okt hng gd ho y ktod nh
More informationn gativ b ias to phap s 5 Q mou ntd ac oss a 50 Q co-a xial l, i t whn bias no t back-bia s d, so t hat p ow fl ow wi ll not b p ositiv. Th u s, if si
DIOD E AND ITS APPLI AT C I O N: T h diod is a p-t p, y intin s ic, n-typ diod consis ting of a naow lay of p- typ smiconducto and a naow lay of n-typ smiconducto, wi th a thick gion of intins ic o b twn
More informationCDS 101: Lecture 7.1 Loop Analysis of Feedback Systems
CDS : Lct 7. Loop Analsis of Fback Sstms Richa M. Ma Goals: Show how to compt clos loop stabilit fom opn loop poptis Dscib th Nqist stabilit cition fo stabilit of fback sstms Dfin gain an phas magin an
More information= x. ˆ, eˆ. , eˆ. 5. Curvilinear Coordinates. See figures 2.11 and Cylindrical. Spherical
Mathmatics Riw Polm Rholog 5. Cuilina Coodinats Clindical Sphical,,,,,, φ,, φ S figus 2. and 2.2 Ths coodinat sstms a otho-nomal, but th a not constant (th a with position). This causs som non-intuiti
More informationChapter 2 Reciprocal Lattice. An important concept for analyzing periodic structures
Chpt Rcpocl Lttc A mpott cocpt o lyzg podc stuctus Rsos o toducg cpocl lttc Thoy o cystl dcto o x-ys, utos, d lctos. Wh th dcto mxmum? Wht s th tsty? Abstct study o uctos wth th podcty o Bvs lttc Fou tsomto.
More informationMASTER CLASS PROGRAM UNIT 4 SPECIALIST MATHEMATICS SEMESTER TWO 2014 WEEK 11 WRITTEN EXAMINATION 1 SOLUTIONS
MASTER CLASS PROGRAM UNIT SPECIALIST MATHEMATICS SEMESTER TWO WEEK WRITTEN EXAMINATION SOLUTIONS FOR ERRORS AND UPDATES, PLEASE VISIT WWW.TSFX.COM.AU/MC-UPDATES QUESTION () Lt p ( z) z z z If z i z ( is
More informationAPPENDIX 2 LAPLACE TRANSFORMS
APPENDIX LAPLACE TRANSFORMS Thi ppendix preent hort introduction to Lplce trnform, the bic tool ued in nlyzing continuou ytem in the frequency domin. The Lplce trnform convert liner ordinry differentil
More informationFrequency Response. Re ve jφ e jωt ( ) where v is the amplitude and φ is the phase of the sinusoidal signal v(t). ve jφ
27 Frequency Response Before starting, review phasor analysis, Bode plots... Key concept: small-signal models for amplifiers are linear and therefore, cosines and sines are solutions of the linear differential
More informationPartial Fraction Expansion
Paial Facion Expanion Whn ying o find h inv Laplac anfom o inv z anfom i i hlpfl o b abl o bak a complicad aio of wo polynomial ino fom ha a on h Laplac Tanfom o z anfom abl. W will illa h ing Laplac anfom.
More information(( ) ( ) ( ) ( ) ( 1 2 ( ) ( ) ( ) ( ) Two Stage Cluster Sampling and Random Effects Ed Stanek
Two ag ampling and andom ffct 8- Two Stag Clu Sampling and Random Effct Ed Stank FTE POPULATO Fam Labl Expctd Rpon Rpon otation and tminology Expctd Rpon: y = and fo ach ; t = Rpon: k = y + Wk k = indx
More informationThe Reign of Grace and Life. Romans 5:12-21 (5:12-14, 17 focus)
Th Rig of Gc d Lif Rom 5:12-21 (5:12-14, 17 focu) Th Ifluc of O h d ud Adolph H J o ph Smith B i t l m t Fid Idi Gdhi Ci Lu Gu ich N itz y l M d i M ch Nlo h Vig T L M uhmmd B m i o t T Ju Chit w I N h
More informationa b c cat CAT A B C Aa Bb Cc cat cat Lesson 1 (Part 1) Verbal lesson: Capital Letters Make The Same Sound Lesson 1 (Part 1) continued...
Progrssiv Printing T.M. CPITLS g 4½+ Th sy, fun (n FR!) wy to tch cpitl lttrs. ook : C o - For Kinrgrtn or First Gr (not for pr-school). - Tchs tht cpitl lttrs mk th sm souns s th littl lttrs. - Tchs th
More informationw x a f f s t p q 4 r u v 5 i l h m o k j d g DT Competition, 1.8/1.6 Stainless, Black S, M, L, XL Matte Raw/Yellow
HELION CARBON TEAM S, M, L, XL M R/Y COR XC Py, FOC U Cn F, 110 T Innn Dn 27. AOS Snn Sy /F Ln, P, 1 1/8"-1 1/2" In H T, n 12 12 M D F 32 FLOAT 27. CTD FIT /A K, 110 T, 1QR, / FIT D, L & Rn A, T Ay S DEVICE
More informationPH427/PH527: Periodic systems Spring Overview of the PH427 website (syllabus, assignments etc.) 2. Coupled oscillations.
Dy : Mondy 5 inuts. Ovrviw of th PH47 wsit (syllus, ssignnts tc.). Coupld oscilltions W gin with sss coupld y Hook's Lw springs nd find th possil longitudinl) otion of such syst. W ll xtnd this to finit
More informationLecture contents. Bloch theorem k-vector Brillouin zone Almost free-electron model Bands Effective mass Holes. NNSE 508 EM Lecture #9
Lctur contnts Bloch thorm -vctor Brillouin zon Almost fr-lctron modl Bnds ffctiv mss Hols Trnsltionl symmtry: Bloch thorm On-lctron Schrödingr qution ch stt cn ccommo up to lctrons: If Vr is priodic function:
More informationdefined on a domain can be expanded into the Taylor series around a point a except a singular point. Also, f( z)
08 Tylo eie nd Mcluin eie A holomophic function f( z) defined on domin cn be expnded into the Tylo eie ound point except ingul point. Alo, f( z) cn be expnded into the Mcluin eie in the open dik with diu
More informationNew Advanced Higher Mathematics: Formulae
Advcd High Mthmtics Nw Advcd High Mthmtics: Fomul G (G): Fomul you must mmois i od to pss Advcd High mths s thy ot o th fomul sht. Am (A): Ths fomul giv o th fomul sht. ut it will still usful fo you to
More information11.1 Balanced Three Phase Voltage Sources
BAANCED THREE- PHASE CIRCUITS C.T. Pn 1 CONTENT 11.1 Blnced Thee-Phse Voltge Souces 11.2 Blnced Thee-Phse ods 11.3 Anlysis of the Wye-WyeCicuits 11.4 Anlysis of the Wye-Delt Cicuits 11.5 Powe Clcultions
More information+ r Position Velocity
1. The phee P tel in tight line with contnt peed of =100 m/. Fo the intnt hown, detemine the coeponding lue of,,,,, eltie to the fixed Ox coodinte tem. meued + + Poition Velocit e 80 e 45 o 113. 137 d
More informationCSE303 - Introduction to the Theory of Computing Sample Solutions for Exercises on Finite Automata
CSE303 - Introduction to th Thory of Computing Smpl Solutions for Exrciss on Finit Automt Exrcis 2.1.1 A dtrministic finit utomton M ccpts th mpty string (i.., L(M)) if nd only if its initil stt is finl
More information[ ] 1+ lim G( s) 1+ s + s G s s G s Kacc SYSTEM PERFORMANCE. Since. Lecture 10: Steady-state Errors. Steady-state Errors. Then
SYSTEM PERFORMANCE Lctur 0: Stady-tat Error Stady-tat Error Lctur 0: Stady-tat Error Dr.alyana Vluvolu Stady-tat rror can b found by applying th final valu thorm and i givn by lim ( t) lim E ( ) t 0 providd
More informationRole of diagonal tension crack in size effect of shear strength of deep beams
Fu M of Co Co Suu - A Fu M of Co - B. H. O,.( Ko Co Iu, Sou, ISBN 978-89-578-8-8 o of o o k z ff of of p m Y. Tk & T. Smomu Nok Uy of Tooy, N, Jp M. W Uym A Co. L., C, Jp ABSTACT: To fy ff of k popo o
More informationRotations 2D & 3D, & about arbitrary axis. Rotation is linear (as in figure)
Rottion D & 3D, & bout bit i Rottion i line in figue ot b ot ot b ot α α ot b b ot b otb ot Deiing Rottion Mti in D Rottion Mti in D, continued D Rottion Mti, concluion Rottion 3D, ound,, e co in in co
More informationAPPLICATIONS OF THE LAPLACE-MELLIN INTEGRAL TRANSFORM TO DIFFERNTIAL EQUATIONS
Intrntionl Journl o Sintii nd Rrh Publition Volum, Iu 5, M ISSN 5-353 APPLICATIONS OF THE LAPLACE-MELLIN INTEGRAL TRANSFORM TO DIFFERNTIAL EQUATIONS S.M.Khirnr, R.M.Pi*, J.N.Slun** Dprtmnt o Mthmti Mhrhtr
More informationPHYSICS 211 MIDTERM I 22 October 2003
PHYSICS MIDTERM I October 3 Exm i cloed book, cloed note. Ue onl our formul heet. Write ll work nd nwer in exm booklet. The bck of pge will not be grded unle ou o requet on the front of the pge. Show ll
More informationMath 2142 Homework 2 Solutions. Problem 1. Prove the following formulas for Laplace transforms for s > 0. a s 2 + a 2 L{cos at} = e st.
Mth 2142 Homework 2 Solution Problem 1. Prove the following formul for Lplce trnform for >. L{1} = 1 L{t} = 1 2 L{in t} = 2 + 2 L{co t} = 2 + 2 Solution. For the firt Lplce trnform, we need to clculte:
More informationL...,,...lllM" l)-""" Si_...,...
> 1 122005 14:8 S BF 0tt n FC DRE RE FOR C YER 2004 80?8 P01/ Rc t > uc s cttm tsus H D11) Rqc(tdk ;) wm1111t 4 (d m D m jud: US
More informationBf: the positive charges in the moving bar will flow downward
31 Fdy s Lw CHAPTE OUTLNE 311 Fdy s Lw of nduction 31 Motionl mf 313 Ln s Lw 314 nducd mf nd Elctic Filds 315 Gntos nd Motos 316 Eddy Cunts 317 Mxwll s Equtions ANSWES TO QUESTONS Q311 Mgntic flux msus
More informationEE243 Advanced Electromagnetic Theory Lec # 22 Scattering and Diffraction. Reading: Jackson Chapter 10.1, 10.3, lite on both 10.2 and 10.
Appid M Fa 6, Nuuth Lctu # V //6 43 Advancd ctomagntic Thoy Lc # Scatting and Diffaction Scatting Fom Sma Obcts Scatting by Sma Dictic and Mtaic Sphs Coction of Scatts Sphica Wav xpansions Scaa Vcto Rading:
More informationریاضیات عالی پیشرفته
ریاضیات عالی پیشرفته Numic Mthods o Enins مدرس دکتر پدرام پیوندی http://www.pdm-pyvndy.com ~ in Aic Equtions ~ Guss Eimintion Chpt 9 http://numicmthods.n.us.du Sovin Systms o Equtions A in qution in n
More informationH STO RY OF TH E SA NT
O RY OF E N G L R R VER ritten for the entennial of th e Foundin g of t lair oun t y on ay 8 82 Y EEL N E JEN K RP O N! R ENJ F ] jun E 3 1 92! Ph in t ed b y h e t l a i r R ep u b l i c a n O 4 1922
More informationRIM= City-County Building, Suite 104 NE INV= Floor= CP #CP004 TOP SE BOLT LP BASE N= E= ELEV=858.
f g c ch c y f M D b c Dm f ubc Wk x c M f g 23 IM=3. y-uy ug, u 0 N INV=0.0 F=0.99 20 M uh Kg, J. v. M, WI 303 h ch b b y v #00 O O O O N=93.200 =2920.00 ckby vyb FG2 f g Ghc c c c 03000 W FI ND O 9 0
More informationECE 598 JS Lecture 08 Lossy Transmission Lines
ECE 598 JS Lecture 8 Lssy Transmissin Lines Spring 22 Jse E. Schutt-Aine Electrical & Cmputer Engineering University f Illinis jesa@illinis.edu Lss in Transmissin Lines RF SOURCE Signal amplitude decreases
More informationFunctions and Graphs 1. (a) (b) (c) (f) (e) (d) 2. (a) (b) (c) (d)
Functions nd Grps. () () (c) - - - O - - - O - - - O - - - - (d) () (f) - - O - 7 6 - - O - -7-6 - - - - - O. () () (c) (d) - - - O - O - O - - O - -. () G() f() + f( ), G(-) f( ) + f(), G() G( ) nd G()
More informationR-L-C Circuits and Resonant Circuits
P517/617 Lec4, P1 R-L-C Circuits and Resonant Circuits Consider the following RLC series circuit What's R? Simplest way to solve for is to use voltage divider equation in complex notation. X L X C in 0
More informationAnalytical Evaluation of Multicenter Nuclear Attraction Integrals for Slater-Type Orbitals Using Guseinov Rotation-Angular Function
I. J. Cop. Mh. S Vo. 5 o. 7 39-3 Ay Evuo of Mu u Ao Ig fo S-yp O Ug Guov Roo-Agu uo Rz Y M Ag Dp of Mh uy of uo fo g A-Khj Uvy Kgo of Su A Dp of Mh uy of S o B Auh Uvy Kgo of Su A A. Ug h Guov oo-gu fuo
More informationPhasors: Impedance and Circuit Anlysis. Phasors
Phasors: Impedance and Circuit Anlysis Lecture 6, 0/07/05 OUTLINE Phasor ReCap Capacitor/Inductor Example Arithmetic with Complex Numbers Complex Impedance Circuit Analysis with Complex Impedance Phasor
More informationEECS 117. Lecture 22: Poynting s Theorem and Normal Incidence. Prof. Niknejad. University of California, Berkeley
University of California, Berkeley EECS 117 Lecture 22 p. 1/2 EECS 117 Lecture 22: Poynting s Theorem and Normal Incidence Prof. Niknejad University of California, Berkeley University of California, Berkeley
More informationCalculation of electromotive force induced by the slot harmonics and parameters of the linear generator
Calculation of lctromotiv forc inducd by th lot harmonic and paramtr of th linar gnrator (*)Hui-juan IU (**)Yi-huang ZHANG (*)School of Elctrical Enginring, Bijing Jiaotong Univrity, Bijing,China 8++58483,
More informationTransmission line equations in phasor form
Transmission line equations in phasor form Kenneth H. Carpenter Department of Electrical and Computer Engineering Kansas State University November 19, 2004 The text for this class presents transmission
More informationLecture 37: Frequency response. Context
EECS 05 Spring 004, Lecture 37 Lecture 37: Frequency response Prof J. S. Smith EECS 05 Spring 004, Lecture 37 Context We will figure out more of the design parameters for the amplifier we looked at in
More informationPLS-CADD DRAWING N IC TR EC EL L RA IVE ) R U AT H R ER 0. IDT FO P 9-1 W T OO -1 0 D EN C 0 E M ER C 3 FIN SE W SE DE EA PO /4 O 1 AY D E ) (N W AN N
A IV ) H 0. IT FO P 9-1 W O -1 0 C 0 M C FI S W S A PO /4 O 1 AY ) ( W A 7 F 4 H T A GH 1 27 IGO OU (B. G TI IS 1/4 X V -S TO G S /2 Y O O 1 A A T H W T 2 09 UT IV O M C S S TH T ) A PATO C A AY S S T
More informationReview of 1 st Order Circuit Analysis
ECEN 60 Circuits/Electronics Spring 007-7-07 P. Mathys Review of st Order Circuit Analysis First Order Differential Equation Consider the following circuit with input voltage v S (t) and output voltage
More informationELEG 413 Lecture #6. Mark Mirotznik, Ph.D. Professor The University of Delaware
LG 43 Lctur #6 Mrk Mirtnik, Ph.D. Prfssr Th Univrsity f Dlwr mil: mirtni@c.udl.du Wv Prpgtin nd Plritin TM: Trnsvrs lctrmgntic Wvs A md is prticulr fild cnfigurtin. Fr givn lctrmgntic bundry vlu prblm,
More informationThe Transmission Line Wave Equation
1//9 The Transmission Line Wave Equation.doc 1/8 The Transmission Line Wave Equation Let s assume that v ( t, ) and (, ) i t each have the timeharmonic form: j t { V e ω j t = } and i (, t) = Re { I( )
More informationThen 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 informationProblem 1. Solution: = show that for a constant number of particles: c and V. a) Using the definitions of P
rol. Using t dfinitions of nd nd t first lw of trodynis nd t driv t gnrl rltion: wr nd r t sifi t itis t onstnt rssur nd volu rstivly nd nd r t intrnl nrgy nd volu of ol. first lw rlts d dq d t onstnt
More informationReinforcement learning
Reinforcement lerning Regulr MDP Given: Trnition model P Rewrd function R Find: Policy π Reinforcement lerning Trnition model nd rewrd function initilly unknown Still need to find the right policy Lern
More information"Radiation" Electrons Positrons Neutrons Ions... Paolo Fornasini Univ. Trento. Overview. Paolo Fornasini Univ. Trento. 1/ k 2 /
Mtt-dition dition tction dition tt tction Dptnt o yic Univity o Tnto tly "dition" lctogntic dition icowv d viibl UV X-y lcton oiton Nuton on... Wv-pticl dulity no on: Stuctul popti cocopic... toic lvl
More information