Periodic Structures. Filter Design by the Image Parameter Method

Size: px
Start display at page:

Download "Periodic Structures. Filter Design by the Image Parameter Method"

Transcription

1 Prioic Structurs a Filtr sig y th mag Paramtr Mtho ECE53: Microwav Circuit sig Pozar Chaptr 8, Sctios 8. & 8. Josh Ottos /4/

2 Microwav Filtrs (Chaptr Eight) microwav filtr is a two-port twork us to cotrol th frqucy rspos at a crtai poit i a microwav systm y proviig trasmissio at frqucis withi th passa of th filtr a attuatio i th stopa of th filtr. Typical frqucy rsposs iclu low-pass, high-pass, apass, a a-rct charactristics. pplicatios ca fou i virtually ay typ of microwav commuicatio, raar, or tst a masurmt systm.

3 Prioic Structurs (Sctio 8.) ifiit trasmissio li or wavgui prioically loa with ractiv lmts is rfrr to as a prioic structur... Prioic structurs ca tak various forms, pig o th trasmissio li mia ig us. Oft th loaig lmts ar form as iscotiuitis i th li, ut i ay cas thy ca mol as lump ractacs across a trasmissio li... Prioic structurs hav passa a stopa charactristics similar to thos of filtrs; thy fi applicatios i travligwav tus, masrs, phas shiftrs, a atas. 3

4 Uit cll Each uit cll of this li cosists of a lgth of trasmissio li with a shut suscptac across th mipoit of th li; th suscptac is ormaliz to th charactristic impac, o. f w cosir th ifiit li as ig compos of a casca of itical two-port tworks, w ca rlat th voltags a currts o ithr si of th th uit cll ug th C matrix: C 4

5 Tal 4. (or isi covr of Pozar) * * f a twork is rciprocal, C 5 Rciprocal Ntworks: twork is sai to rciprocal if th voltag apparig at port u to a currt appli at port is th sam as th voltag apparig at port wh th sam currt is appli to port. Exchagig voltag a currt rsults i a quivalt fiitio of rciprocity. gral, a twork will rciprocal if it cosists tirly of liar passiv compots (that is, rsistors, capacitors a iuctors). gral, it will ot rciprocal if it cotais activ compots such as grators. p.3, Mahmoo Nahvi, Josph Emiistr, Schaums outli of thory a prolms of lctric circuits, McGraw-Hill Profssioal,

6 C C (ot irctio of ) (8.) / : xampl rfrshr multiplicatio matrix 6

7 7

8 C β l k β l k 8

9 C ) ( ) ( ) ( ) ( C c (8.) 9

10 ( ) ( ) ( ) ( ) z z z z For a wav propagatig i th z irctio, Sic th structur is ifiitly log, th voltag a currt at th th trmials ca iffr from th voltag a currt at th trmials oly y th propagatig factor, C (8.3) (8.4) C From (8.), For a otrivial solutio, th trmiat of th aov matrix must vaish: ) ( C Sic C, ) ( (8.5) (8.6) C

11 ) ( ( ) ) ( h β α & β α β α h h h From (8.), (8.7) (8.8)

12 Hyprolic Fuctio Rfrshr h

13 h hα β hα β α β Sic th right-ha si of (8.8) is purly ral, or α Cas#: Propagatig, No-ttuatig > PSSN β β α Cas#: ttuatig, No-Propagatig > STOPN β, π hα (8.9a) (8.9) pig o frqucy a ormaliz suscptac, th prioically loa li will xhiit ithr passas or stopas a thrfor act as a filtr. Rmmr that th quatios ar for & wavs fi at trmials of uit clls a o t cssarily scri coitios at othr poits alog th li. Ths ar similar to loch wavs. 3

14 loch givs his am to th charactristic impac of ths wavs: From (8.5), ( ) (8.) From (8.6), ( ) ( ) ± ( ) 4 ± m ( ) 4 So w ca solv for So w ca solv for th two solutios of th loch impac: Sic th uit cll is symmtrical, ± (8.) ± (8.) 4

15 From (8.) w s that is always purly imagiary. f α, β (passa), th, for symmtrical tworks: ( ) h h hα β hα β β ± ± (8.) shows that will ral. α, β f (stopa), th, for symmtrical tworks: h hα ± ± (8.) shows that will imagiary. This situatio is similar to that for th wav impac of a wavgui, which is ral for propagatig mos a imagiary for cutoff, or vasct, mos. 5

16 W arlir assum that th structur was ifiitly log, ut to implmt this filtr w will to trmiat th li. f th loa impac os t match our loch impac, thr will rflctios, which will ivaliat our arlir work. β β β β (8.4) L L Γ To avoi rflctios, L must match, which is ral for a losslss structur opratig i a passa. f cssary, a quartr-wav trasformr ca us tw th prioically loa li a th loa. 6

17 kβiagrams (Wavgui) β k k c k v p c β β v g β c k β For k< k c, thr is o solutio for β (rilloui iagram) 7

18 kβ iagram (Prioically Loa Li Exampl) β (8.9) 8

19 mag Paramtr Mtho of Filtr sig (Sctio 8.) C i C Sic C Figur 8.7 shows a aritrary, rciprocal two-port twork with imag impacs fi as follows: i iput impac at wh is trmiat with i i iput impac at wh is trmiat with i C i i C i C C i i i i W wat i i a i C i C f symmtric, i i 9

20 i i C ( C) ( C) C Ci

21 Two importat typs of two-port tworks ar th T a π circuits, which ca ma i symmtric form. Tal 8. list th imag impacs a propagatio factors, alog with othr usful paramtrs, for ths two tworks.

22 c c c 4, LC C L C L it k C L R LC c, c it R it R wh

23 L c, R LC C k Thr ar oly two paramtrs to choos (L a C), which ar trmi y th cutoff frqucy a th imag impac at zro frqucy. Ths rsults ar oly vali wh th filtr sctio is trmiat i its imag impac, which is a fuctio of frqucy a is ot likly to mach a giv sourc or loa impac. ts attuatio is t vry goo i th stopa. L c, R k LC C 3

24 To improv our sig from th costat-k filtr, w ar goig to try th m-riv filtr. Rplac with a with whr m Choos to kp it th sam: m m it ( ) m m m m m m 4

25 C L, For a low-pass filtr, ( ) L m m Cm Lm 4, So th m-riv impacs will : 4 ( ) ( ) 4 c c m m m m L Cm Lm LC c ( ) 4 c c m 5

26 4 ( ) 4 c c m f w rstrict < m <, th ths rsults show that is ral a > for > Thus th stopa gis at, as for th costat-k sctio. Howvr, wh, whr, c m c c coms ifiit. Th m-riv sctio has a vry sharp cutoff ut th th attuatio crass as To hav ifiit attuatio as w ca casca it with a costat-k sctio. 6

27 Th m-riv T-sctio was sig so that its imag impac was itical to that of th costat-k sctio (ipt of m), so w still hav th prolm of a ocostat imag impac. ut a π- sctio s imag impac os p o m. y austig m as, w ca us this to optimiz our match. iπ ( m ) c c R 7

28 To fit from th π-sctio s aility to kp a rlativly costat imag impac ut still match up with costat-k or sharp cutoff T-sctio, w will isct a π-sctio. 8

29 9

30 3

31 3

32 ackup Slis

33 C C C C

34 ) ( ) ( ) ( ) ( C C C

GUC (Dr. Hany Hammad) 4/20/2016

GUC (Dr. Hany Hammad) 4/20/2016 GU (r. Hay Hamma) 4/0/06 Lctur # 0 Filtr sig y Th srti Lss Mth sig Stps Lw-pass prttyp sig. () Scalig a cvrsi. () mplmtati. Usig Stus. Usig High-Lw mpac Sctis. Thry f priic structurs. mag impacs a Trasfr

More information

Problem Value Score Earned No/Wrong Rec -3 Total

Problem Value Score Earned No/Wrong Rec -3 Total GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL of ELECTRICAL & COMPUTER ENGINEERING ECE6 Fall Quiz # Writt Eam Novmr, NAME: Solutio Kys GT Usram: LAST FIRST.g., gtiit Rcitatio Sctio: Circl t dat & tim w your Rcitatio

More information

Scattering Parameters. Scattering Parameters

Scattering Parameters. Scattering Parameters Motivatio cattrig Paramtrs Difficult to implmt op ad short circuit coditios i high frqucis masurmts du to parasitic s ad Cs Pottial stability problms for activ dvics wh masurd i oopratig coditios Difficult

More information

APPENDIX: STATISTICAL TOOLS

APPENDIX: STATISTICAL TOOLS I. Nots o radom samplig Why do you d to sampl radomly? APPENDI: STATISTICAL TOOLS I ordr to masur som valu o a populatio of orgaisms, you usually caot masur all orgaisms, so you sampl a subst of th populatio.

More information

Figure 2-18 Thevenin Equivalent Circuit of a Noisy Resistor

Figure 2-18 Thevenin Equivalent Circuit of a Noisy Resistor .8 NOISE.8. Th Nyquist Nois Thorm W ow wat to tur our atttio to ois. W will start with th basic dfiitio of ois as usd i radar thory ad th discuss ois figur. Th typ of ois of itrst i radar thory is trmd

More information

z 1+ 3 z = Π n =1 z f() z = n e - z = ( 1-z) e z e n z z 1- n = ( 1-z/2) 1+ 2n z e 2n e n -1 ( 1-z )/2 e 2n-1 1-2n -1 1 () z

z 1+ 3 z = Π n =1 z f() z = n e - z = ( 1-z) e z e n z z 1- n = ( 1-z/2) 1+ 2n z e 2n e n -1 ( 1-z )/2 e 2n-1 1-2n -1 1 () z Sris Expasio of Rciprocal of Gamma Fuctio. Fuctios with Itgrs as Roots Fuctio f with gativ itgrs as roots ca b dscribd as follows. f() Howvr, this ifiit product divrgs. That is, such a fuctio caot xist

More information

ECE 344 Microwave Fundamentals

ECE 344 Microwave Fundamentals ECE 44 Microwav Fundamntals Lctur 08: Powr Dividrs and Couplrs Part Prpard By Dr. hrif Hkal 4/0/08 Microwav Dvics 4/0/08 Microwav Dvics 4/0/08 Powr Dividrs and Couplrs Powr dividrs, combinrs and dirctional

More information

Dielectric Waveguide 1

Dielectric Waveguide 1 Dilctic Wavgui Total Ital Rflctio i c si c t si si t i i i c i Total Ital Rflctio i c i cos si Wh i t i si c si cos t j o cos t t o si i si bcoms pul imagia pul imagia i, al Total Ital Rflctio 3 i c i

More information

15/03/1439. Lectures on Signals & systems Engineering

15/03/1439. Lectures on Signals & systems Engineering Lcturs o Sigals & syms Egirig Dsigd ad Prd by Dr. Ayma Elshawy Elsfy Dpt. of Syms & Computr Eg. Al-Azhar Uivrsity Email : aymalshawy@yahoo.com A sigal ca b rprd as a liar combiatio of basic sigals. Th

More information

Lectures 9 IIR Systems: First Order System

Lectures 9 IIR Systems: First Order System EE3054 Sigals ad Systms Lcturs 9 IIR Systms: First Ordr Systm Yao Wag Polytchic Uivrsity Som slids icludd ar xtractd from lctur prstatios prpard by McCllla ad Schafr Lics Ifo for SPFirst Slids This work

More information

Chapter 2 Infinite Series Page 1 of 11. Chapter 2 : Infinite Series

Chapter 2 Infinite Series Page 1 of 11. Chapter 2 : Infinite Series Chatr Ifiit Sris Pag of Sctio F Itgral Tst Chatr : Ifiit Sris By th d of this sctio you will b abl to valuat imror itgrals tst a sris for covrgc by alyig th itgral tst aly th itgral tst to rov th -sris

More information

ECE594I Notes set 6: Thermal Noise

ECE594I Notes set 6: Thermal Noise C594I ots, M. odwll, copyrightd C594I Nots st 6: Thrmal Nois Mark odwll Uivrsity of Califoria, ata Barbara rodwll@c.ucsb.du 805-893-344, 805-893-36 fax frcs ad Citatios: C594I ots, M. odwll, copyrightd

More information

1985 AP Calculus BC: Section I

1985 AP Calculus BC: Section I 985 AP Calculus BC: Sctio I 9 Miuts No Calculator Nots: () I this amiatio, l dots th atural logarithm of (that is, logarithm to th bas ). () Ulss othrwis spcifid, th domai of a fuctio f is assumd to b

More information

Chapter 3 Fourier Series Representation of Periodic Signals

Chapter 3 Fourier Series Representation of Periodic Signals Chptr Fourir Sris Rprsttio of Priodic Sigls If ritrry sigl x(t or x[] is xprssd s lir comitio of som sic sigls th rspos of LI systm coms th sum of th idividul rsposs of thos sic sigls Such sic sigl must:

More information

CDS 101: Lecture 5.1 Reachability and State Space Feedback

CDS 101: Lecture 5.1 Reachability and State Space Feedback CDS, Lctur 5. CDS : Lctur 5. Rachability ad Stat Spac Fdback Richard M. Murray ad Hido Mabuchi 5 Octobr 4 Goals: Di rachability o a cotrol systm Giv tsts or rachability o liar systms ad apply to ampls

More information

Analysis of the power losses in the three-phase high-current busducts

Analysis of the power losses in the three-phase high-current busducts Computr Applicatios i Elctrical Egirig Vol. 3 5 Aalysis of th powr losss i th thr-phas high-currt busucts Tomasz Szczgiliak, Zygmut Piątk, Dariusz Kusiak Częstochowa Uivrsity of Tchology 4- Częstochowa,

More information

CDS 101: Lecture 5.1 Reachability and State Space Feedback

CDS 101: Lecture 5.1 Reachability and State Space Feedback CDS, Lctur 5. CDS : Lctur 5. Rachability ad Stat Spac Fdback Richard M. Murray 7 Octobr 3 Goals: Di rachability o a cotrol systm Giv tsts or rachability o liar systms ad apply to ampls Dscrib th dsig o

More information

Y 0. Standing Wave Interference between the incident & reflected waves Standing wave. A string with one end fixed on a wall

Y 0. Standing Wave Interference between the incident & reflected waves Standing wave. A string with one end fixed on a wall Staning Wav Intrfrnc btwn th incint & rflct wavs Staning wav A string with on n fix on a wall Incint: y, t) Y cos( t ) 1( Y 1 ( ) Y (St th incint wav s phas to b, i.., Y + ral & positiv.) Rflct: y, t)

More information

PURE MATHEMATICS A-LEVEL PAPER 1

PURE MATHEMATICS A-LEVEL PAPER 1 -AL P MATH PAPER HONG KONG EXAMINATIONS AUTHORITY HONG KONG ADVANCED LEVEL EXAMINATION PURE MATHEMATICS A-LEVEL PAPER 8 am am ( hours) This papr must b aswrd i Eglish This papr cosists of Sctio A ad Sctio

More information

2. Finite Impulse Response Filters (FIR)

2. Finite Impulse Response Filters (FIR) .. Mthos for FIR filtrs implmntation. Finit Impuls Rspons Filtrs (FIR. Th winow mtho.. Frquncy charactristic uniform sampling. 3. Maximum rror minimizing. 4. Last-squars rror minimizing.. Mthos for FIR

More information

A Review of Complex Arithmetic

A Review of Complex Arithmetic /0/005 Rviw of omplx Arithmti.do /9 A Rviw of omplx Arithmti A omplx valu has both a ral ad imagiary ompot: { } ad Im{ } a R b so that w a xprss this omplx valu as: whr. a + b Just as a ral valu a b xprssd

More information

Frequency Measurement in Noise

Frequency Measurement in Noise Frqucy Masurmt i ois Porat Sctio 6.5 /4 Frqucy Mas. i ois Problm Wat to o look at th ct o ois o usig th DFT to masur th rqucy o a siusoid. Cosidr sigl complx siusoid cas: j y +, ssum Complx Whit ois Gaussia,

More information

Chapter 11.00C Physical Problem for Fast Fourier Transform Civil Engineering

Chapter 11.00C Physical Problem for Fast Fourier Transform Civil Engineering haptr. Physical Problm for Fast Fourir Trasform ivil Egirig Itroductio I this chaptr, applicatios of FFT algorithms [-5] for solvig ral-lif problms such as computig th dyamical (displacmt rspos [6-7] of

More information

Discrete Fourier Transform. Nuno Vasconcelos UCSD

Discrete Fourier Transform. Nuno Vasconcelos UCSD Discrt Fourir Trasform uo Vascoclos UCSD Liar Shift Ivariat (LSI) systms o of th most importat cocpts i liar systms thory is that of a LSI systm Dfiitio: a systm T that maps [ ito y[ is LSI if ad oly if

More information

How much air is required by the people in this lecture theatre during this lecture?

How much air is required by the people in this lecture theatre during this lecture? 3 NTEGRATON tgrtio is us to swr qustios rltig to Ar Volum Totl qutity such s: Wht is th wig r of Boig 747? How much will this yr projct cost? How much wtr os this rsrvoir hol? How much ir is rquir y th

More information

ECE 599/692 Deep Learning

ECE 599/692 Deep Learning ECE 599/69 Dp Lari Lctur Autocors Hairo Qi Goal Family Profssor Elctrical Eiri a Computr Scic Uivrsity of ss Kovill http://www.cs.ut.u/faculty/qi Email: hqi@ut.u A loo ac i tim INPU 33 C: fatur maps 6@88

More information

[ ] Review. For a discrete-time periodic signal xn with period N, the Fourier series representation is

[ ] Review. For a discrete-time periodic signal xn with period N, the Fourier series representation is Discrt-tim ourir Trsform Rviw or discrt-tim priodic sigl x with priod, th ourir sris rprsttio is x + < > < > x, Rviw or discrt-tim LTI systm with priodic iput sigl, y H ( ) < > < > x H r rfrrd to s th

More information

Session : Plasmas in Equilibrium

Session : Plasmas in Equilibrium Sssio : Plasmas i Equilibrium Ioizatio ad Coductio i a High-prssur Plasma A ormal gas at T < 3000 K is a good lctrical isulator, bcaus thr ar almost o fr lctros i it. For prssurs > 0.1 atm, collisio amog

More information

POWER LOSSES IN THE THREE-PHASE GAS-INSULATED LINE

POWER LOSSES IN THE THREE-PHASE GAS-INSULATED LINE OZNAN UNVE STY OF TE CHNOLOGY ACADE MC JOUNALS No 89 Elctrical Egirig 7 DO.8/j.897-77.7.89.8 Tomasz SZCZEGELNA Dariusz USA Zygmut ĄTE OWE LOSSES N THE THEE-HASE GAS-NSULATED LNE This papr prsts a aalytical

More information

Windowing in FIR Filter Design. Design Summary and Examples

Windowing in FIR Filter Design. Design Summary and Examples Lctur 3 Outi: iowig i FIR Fitr Dsig. Dsig Summary a Exams Aoucmts: Mitrm May i cass. i covr through FIR Fitr Dsig. 4 ost, 5% ogr tha usua, 4 xtra ays to comt (u May 8) Mor tais o say Thr wi b o aitioa

More information

Exercises for lectures 23 Discrete systems

Exercises for lectures 23 Discrete systems Exrciss for lcturs 3 Discrt systms Michal Šbk Automatické říí 06 30-4-7 Stat-Spac a Iput-Output scriptios Automatické říí - Kybrtika a robotika Mols a trasfrs i CSTbx >> F=[ ; 3 4]; G=[ ;]; H=[ ]; J=0;

More information

Narayana IIT Academy

Narayana IIT Academy INDIA Sc: LT-IIT-SPARK Dat: 9--8 6_P Max.Mars: 86 KEY SHEET PHYSIS A 5 D 6 7 A,B 8 B,D 9 A,B A,,D A,B, A,B B, A,B 5 A 6 D 7 8 A HEMISTRY 9 A B D B B 5 A,B,,D 6 A,,D 7 B,,D 8 A,B,,D 9 A,B, A,B, A,B,,D A,B,

More information

How many neutrino species?

How many neutrino species? ow may utrio scis? Two mthods for dtrmii it lium abudac i uivrs At a collidr umbr of utrio scis Exasio of th uivrs is ovrd by th Fridma quatio R R 8G tot Kc R Whr: :ubblcostat G :Gravitatioal costat 6.

More information

10. Joint Moments and Joint Characteristic Functions

10. Joint Moments and Joint Characteristic Functions 0 Joit Momts ad Joit Charactristic Fctios Followig sctio 6 i this sctio w shall itrodc varios paramtrs to compactly rprst th iformatio cotaid i th joit pdf of two rvs Giv two rvs ad ad a fctio g x y dfi

More information

ELEC9721: Digital Signal Processing Theory and Applications

ELEC9721: Digital Signal Processing Theory and Applications ELEC97: Digital Sigal Pocssig Thoy ad Applicatios Tutoial ad solutios Not: som of th solutios may hav som typos. Q a Show that oth digital filts giv low hav th sam magitud spos: i [] [ ] m m i i i x c

More information

Discrete Fourier Transform (DFT)

Discrete Fourier Transform (DFT) Discrt Fourir Trasorm DFT Major: All Egirig Majors Authors: Duc guy http://umricalmthods.g.us.du umrical Mthods or STEM udrgraduats 8/3/29 http://umricalmthods.g.us.du Discrt Fourir Trasorm Rcalld th xpotial

More information

VI. FIR digital filters

VI. FIR digital filters www.jtuworld.com www.jtuworld.com Digital Sigal Procssig 6 Dcmbr 24, 29 VI. FIR digital filtrs (No chag i 27 syllabus). 27 Syllabus: Charactristics of FIR digital filtrs, Frqucy rspos, Dsig of FIR digital

More information

2. SIMPLE SOIL PROPETIES

2. SIMPLE SOIL PROPETIES 2. SIMPLE SOIL PROPETIES 2.1 EIGHT-OLUME RELATIONSHIPS It i oft rquir of th gotchical gir to collct, claify a ivtigat oil ampl. B it for ig of fouatio or i calculatio of arthork volum, trmiatio of oil

More information

(Reference: sections in Silberberg 5 th ed.)

(Reference: sections in Silberberg 5 th ed.) ALE. Atomic Structur Nam HEM K. Marr Tam No. Sctio What is a atom? What is th structur of a atom? Th Modl th structur of a atom (Rfrc: sctios.4 -. i Silbrbrg 5 th d.) Th subatomic articls that chmists

More information

Washington State University

Washington State University he 3 Ktics ad Ractor Dsig Sprg, 00 Washgto Stat Uivrsity Dpartmt of hmical Egrg Richard L. Zollars Exam # You will hav o hour (60 muts) to complt this xam which cosists of four (4) problms. You may us

More information

Statistics 3858 : Likelihood Ratio for Exponential Distribution

Statistics 3858 : Likelihood Ratio for Exponential Distribution Statistics 3858 : Liklihood Ratio for Expotial Distributio I ths two xampl th rjctio rjctio rgio is of th form {x : 2 log (Λ(x)) > c} for a appropriat costat c. For a siz α tst, usig Thorm 9.5A w obtai

More information

Worksheet: Taylor Series, Lagrange Error Bound ilearnmath.net

Worksheet: Taylor Series, Lagrange Error Bound ilearnmath.net Taylor s Thorm & Lagrag Error Bouds Actual Error This is th ral amout o rror, ot th rror boud (worst cas scario). It is th dirc btw th actual () ad th polyomial. Stps:. Plug -valu ito () to gt a valu.

More information

Instability of large solitary water waves

Instability of large solitary water waves Istability of larg solitary watr wavs Zhiwu Li Mathmatics Dpartmt Uivrsity of Missouri Columbia, MO 65 USA Abstract W cosir th liariz istability of D irrotatioal solitary watr wavs. Th maxima of rgy a

More information

ln x = n e = 20 (nearest integer)

ln x = n e = 20 (nearest integer) H JC Prlim Solutios 6 a + b y a + b / / dy a b 3/ d dy a b at, d Giv quatio of ormal at is y dy ad y wh. d a b () (,) is o th curv a+ b () y.9958 Qustio Solvig () ad (), w hav a, b. Qustio d.77 d d d.77

More information

LECTURE 13 Filling the bands. Occupancy of Available Energy Levels

LECTURE 13 Filling the bands. Occupancy of Available Energy Levels LUR 3 illig th bads Occupacy o Availabl rgy Lvls W hav dtrmid ad a dsity o stats. W also d a way o dtrmiig i a stat is illd or ot at a giv tmpratur. h distributio o th rgis o a larg umbr o particls ad

More information

Chapter (8) Estimation and Confedence Intervals Examples

Chapter (8) Estimation and Confedence Intervals Examples Chaptr (8) Estimatio ad Cofdc Itrvals Exampls Typs of stimatio: i. Poit stimatio: Exampl (1): Cosidr th sampl obsrvatios, 17,3,5,1,18,6,16,10 8 X i i1 17 3 5 118 6 16 10 116 X 14.5 8 8 8 14.5 is a poit

More information

DTFT Properties. Example - Determine the DTFT Y ( e ) of n. Let. We can therefore write. From Table 3.1, the DTFT of x[n] is given by 1

DTFT Properties. Example - Determine the DTFT Y ( e ) of n. Let. We can therefore write. From Table 3.1, the DTFT of x[n] is given by 1 DTFT Proprtis Exampl - Dtrmi th DTFT Y of y α µ, α < Lt x α µ, α < W ca thrfor writ y x x From Tabl 3., th DTFT of x is giv by ω X ω α ω Copyright, S. K. Mitra Copyright, S. K. Mitra DTFT Proprtis DTFT

More information

Time Dependent Solutions: Propagators and Representations

Time Dependent Solutions: Propagators and Representations Tim Dpdt Solutios: Propagators ad Rprstatios Michal Fowlr, UVa 1/3/6 Itroductio W v spt most of th cours so far coctratig o th igstats of th amiltoia, stats whos tim dpdc is mrly a chagig phas W did mtio

More information

CPU Frequency Tuning for Optimizing the Energy. David Brayford 1

CPU Frequency Tuning for Optimizing the Energy. David Brayford 1 CPU Frqucy Tuig or Optimizig th Ergy to Solutio. David Brayord Brayord@lrz.d 1 Cost o Larg HPC Systms Computr Hardwar HPC systm, cabls, data archivig systm tc. Buildig Th availability ad pric o ral stat.

More information

Frequency Response & Digital Filters

Frequency Response & Digital Filters Frquy Rspos & Digital Filtrs S Wogsa Dpt. of Cotrol Systms ad Istrumtatio Egirig, KUTT Today s goals Frquy rspos aalysis of digital filtrs LTI Digital Filtrs Digital filtr rprstatios ad struturs Idal filtrs

More information

Systems in Transform Domain Frequency Response Transfer Function Introduction to Filters

Systems in Transform Domain Frequency Response Transfer Function Introduction to Filters LTI Discrt-Tim Systms i Trasform Domai Frqucy Rspos Trasfr Fuctio Itroductio to Filtrs Taia Stathai 811b t.stathai@imprial.ac.u Frqucy Rspos of a LTI Discrt-Tim Systm Th wll ow covolutio sum dscriptio

More information

Response of LTI Systems to Complex Exponentials

Response of LTI Systems to Complex Exponentials 3 Fourir sris coiuous-im Rspos of LI Sysms o Complx Expoials Ouli Cosidr a LI sysm wih h ui impuls rspos Suppos h ipu sigal is a complx xpoial s x s is a complx umbr, xz zis a complx umbr h or h h w will

More information

Impedance Transformation and Parameter Relations

Impedance Transformation and Parameter Relations 8/1/18 Cours nstructor Dr. Raymond C. Rumpf Offic: A 337 Phon: (915) 747 6958 E Mail: rcrumpf@utp.du EE 4347 Applid Elctromagntics Topic 4 mpdanc Transformation and Paramtr Rlations mpdanc Ths Transformation

More information

Law of large numbers

Law of large numbers Law of larg umbrs Saya Mukhrj W rvisit th law of larg umbrs ad study i som dtail two typs of law of larg umbrs ( 0 = lim S ) p ε ε > 0, Wak law of larrg umbrs [ ] S = ω : lim = p, Strog law of larg umbrs

More information

The pn junction: 2 Current vs Voltage (IV) characteristics

The pn junction: 2 Current vs Voltage (IV) characteristics Th pn junction: Currnt vs Voltag (V) charactristics Considr a pn junction in quilibrium with no applid xtrnal voltag: o th V E F E F V p-typ Dpltion rgion n-typ Elctron movmnt across th junction: 1. n

More information

A Simple Proof that e is Irrational

A Simple Proof that e is Irrational Two of th most bautiful ad sigificat umbrs i mathmatics ar π ad. π (approximatly qual to 3.459) rprsts th ratio of th circumfrc of a circl to its diamtr. (approximatly qual to.788) is th bas of th atural

More information

Probability & Statistics,

Probability & Statistics, Probability & Statistics, BITS Pilai K K Birla Goa Campus Dr. Jajati Kshari Sahoo Dpartmt of Mathmatics BITS Pilai, K K Birla Goa Campus Poisso Distributio Poisso Distributio: A radom variabl X is said

More information

3.4 Properties of the Stress Tensor

3.4 Properties of the Stress Tensor cto.4.4 Proprts of th trss sor.4. trss rasformato Lt th compots of th Cauchy strss tsor a coordat systm wth bas vctors b. h compots a scod coordat systm wth bas vctors j,, ar gv by th tsor trasformato

More information

NET/JRF, GATE, IIT JAM, JEST, TIFR

NET/JRF, GATE, IIT JAM, JEST, TIFR Istitut for NET/JRF, GATE, IIT JAM, JEST, TIFR ad GRE i PHYSICAL SCIENCES Mathmatical Physics JEST-6 Q. Giv th coditio φ, th solutio of th quatio ψ φ φ is giv by k. kφ kφ lφ kφ lφ (a) ψ (b) ψ kφ (c) ψ

More information

Option 3. b) xe dx = and therefore the series is convergent. 12 a) Divergent b) Convergent Proof 15 For. p = 1 1so the series diverges.

Option 3. b) xe dx = and therefore the series is convergent. 12 a) Divergent b) Convergent Proof 15 For. p = 1 1so the series diverges. Optio Chaptr Ercis. Covrgs to Covrgs to Covrgs to Divrgs Covrgs to Covrgs to Divrgs 8 Divrgs Covrgs to Covrgs to Divrgs Covrgs to Covrgs to Covrgs to Covrgs to 8 Proof Covrgs to π l 8 l a b Divrgt π Divrgt

More information

Bipolar Junction Transistors

Bipolar Junction Transistors ipolar Juctio Trasistors ipolar juctio trasistors (JT) ar activ 3-trmial dvics with aras of applicatios: amplifirs, switch tc. high-powr circuits high-spd logic circuits for high-spd computrs. JT structur:

More information

Chapter 4 Network Analysis

Chapter 4 Network Analysis Chaptr 4 Ntwork Aalysis 4. troductio Th KL ad KCL i circuit i thory ar o logr valid. Us th Maxwll s quatios to solv all microwav circuits:? Fild Problm EH, (ctors Circuit Problm, (calars (Equivalt quatitis

More information

Discrete Fourier Transform. Discrete Fourier Transform. Discrete Fourier Transform. Discrete Fourier Transform. Discrete Fourier Transform

Discrete Fourier Transform. Discrete Fourier Transform. Discrete Fourier Transform. Discrete Fourier Transform. Discrete Fourier Transform Discrt Fourir Trasform Dfiitio - T simplst rlatio btw a lt- squc x dfid for ω ad its DTFT X ( ) is ω obtaid by uiformly sampli X ( ) o t ω-axis btw ω < at ω From t dfiitio of t DTFT w tus av X X( ω ) ω

More information

DFT: Discrete Fourier Transform

DFT: Discrete Fourier Transform : Discrt Fourir Trasform Cogruc (Itgr modulo m) I this sctio, all lttrs stad for itgrs. gcd m, = th gratst commo divisor of ad m Lt d = gcd(,m) All th liar combiatios r s m of ad m ar multils of d. a b

More information

7. Differentiation of Trigonometric Function

7. Differentiation of Trigonometric Function 7. Diffrtiatio of Trigootric Fctio RADIAN MEASURE. Lt s ot th lgth of arc AB itrcpt y th ctral agl AOB o a circl of rais r a lt S ot th ara of th sctor AOB. (If s is /60 of th circfrc, AOB = 0 ; if s =

More information

Digital Signal Processing, Fall 2006

Digital Signal Processing, Fall 2006 Digital Sigal Procssig, Fall 6 Lctur 9: Th Discrt Fourir Trasfor Zhg-Hua Ta Dpartt of Elctroic Systs Aalborg Uivrsity, Dar zt@o.aau.d Digital Sigal Procssig, I, Zhg-Hua Ta, 6 Cours at a glac MM Discrt-ti

More information

Motivation. We talk today for a more flexible approach for modeling the conditional probabilities.

Motivation. We talk today for a more flexible approach for modeling the conditional probabilities. Baysia Ntworks Motivatio Th coditioal idpdc assuptio ad by aïv Bays classifirs ay s too rigid spcially for classificatio probls i which th attributs ar sowhat corrlatd. W talk today for a or flibl approach

More information

to the SCHRODINGER EQUATION The case of an electron propagating in a crystal lattice

to the SCHRODINGER EQUATION The case of an electron propagating in a crystal lattice Lctur Nots PH 411/511 ECE 598 A. La Rosa INTRODUCTION TO QUANTUM MECHANICS CHAPTER-9 From th HAMILTONIAN EQUATIONS to th SCHRODINGER EQUATION Th cas of a lctro propagatig i a crystal lattic 9.1 Hamiltoia

More information

SIGNIFICANCE OF SMITH CHART IN ANTENNA TECHNOLOGY

SIGNIFICANCE OF SMITH CHART IN ANTENNA TECHNOLOGY SIGNIFICANCE OF SMITH CHART IN ANTENNA TECHNOLOGY P. Poornima¹, Santosh Kumar Jha² 1 Associat Profssor, 2 Profssor, ECE Dpt., Sphoorthy Enginring Collg Tlangana, Hyraba (Inia) ABSTRACT This papr prsnts

More information

Chapter 4 - The Fourier Series

Chapter 4 - The Fourier Series M. J. Robrts - 8/8/4 Chaptr 4 - Th Fourir Sris Slctd Solutios (I this solutio maual, th symbol,, is usd for priodic covolutio bcaus th prfrrd symbol which appars i th txt is ot i th fot slctio of th word

More information

6. Comparison of NLMS-OCF with Existing Algorithms

6. Comparison of NLMS-OCF with Existing Algorithms 6. Compariso of NLMS-OCF with Eistig Algorithms I Chaptrs 5 w drivd th NLMS-OCF algorithm, aalyzd th covrgc ad trackig bhavior of NLMS-OCF, ad dvlopd a fast vrsio of th NLMS-OCF algorithm. W also mtiod

More information

Class #24 Monday, April 16, φ φ φ

Class #24 Monday, April 16, φ φ φ lass #4 Moday, April 6, 08 haptr 3: Partial Diffrtial Equatios (PDE s First of all, this sctio is vry, vry difficult. But it s also supr cool. PDE s thr is mor tha o idpdt variabl. Exampl: φ φ φ φ = 0

More information

Ordinary Differential Equations

Ordinary Differential Equations Ordiary Diffrtial Equatio Aftr radig thi chaptr, you hould b abl to:. dfi a ordiary diffrtial quatio,. diffrtiat btw a ordiary ad partial diffrtial quatio, ad. Solv liar ordiary diffrtial quatio with fid

More information

Chemical Physics II. More Stat. Thermo Kinetics Protein Folding...

Chemical Physics II. More Stat. Thermo Kinetics Protein Folding... Chmical Physics II Mor Stat. Thrmo Kintics Protin Folding... http://www.nmc.ctc.com/imags/projct/proj15thumb.jpg http://nuclarwaponarchiv.org/usa/tsts/ukgrabl2.jpg http://www.photolib.noaa.gov/corps/imags/big/corp1417.jpg

More information

Voltage, Current, Power, Series Resistance, Parallel Resistance, and Diodes

Voltage, Current, Power, Series Resistance, Parallel Resistance, and Diodes Lctur 1. oltag, Currnt, Powr, Sris sistanc, Paralll sistanc, and Diods Whn you start to dal with lctronics thr ar thr main concpts to start with: Nam Symbol Unit oltag volt Currnt ampr Powr W watt oltag

More information

8(4 m0) ( θ ) ( ) Solutions for HW 8. Chapter 25. Conceptual Questions

8(4 m0) ( θ ) ( ) Solutions for HW 8. Chapter 25. Conceptual Questions Solutios for HW 8 Captr 5 Cocptual Qustios 5.. θ dcrass. As t crystal is coprssd, t spacig d btw t plas of atos dcrass. For t first ordr diffractio =. T Bragg coditio is = d so as d dcrass, ust icras for

More information

Searching Linked Lists. Perfect Skip List. Building a Skip List. Skip List Analysis (1) Assume the list is sorted, but is stored in a linked list.

Searching Linked Lists. Perfect Skip List. Building a Skip List. Skip List Analysis (1) Assume the list is sorted, but is stored in a linked list. 3 3 4 8 6 3 3 4 8 6 3 3 4 8 6 () (d) 3 Sarching Linkd Lists Sarching Linkd Lists Sarching Linkd Lists ssum th list is sortd, but is stord in a linkd list. an w us binary sarch? omparisons? Work? What if

More information

First order differential equation Linear equation; Method of integrating factors

First order differential equation Linear equation; Method of integrating factors First orr iffrntial quation Linar quation; Mtho of intgrating factors Exampl 1: Rwrit th lft han si as th rivativ of th prouct of y an som function by prouct rul irctly. Solving th first orr iffrntial

More information

CHAPTER 10. Consider the transmission lines for voltage and current as developed in Chapter 9 from the distributed equivalent circuit shown below.

CHAPTER 10. Consider the transmission lines for voltage and current as developed in Chapter 9 from the distributed equivalent circuit shown below. CHAPTER 1 1. Sinusoidal Stady Stat in Transmission ins 1.1 Phasor Rprsntation of olta and Currnt Wavs Considr th transmission lins for volta and currnt as dvlopd in Chaptr 9 from th distributd quivalnt

More information

page 11 equation (1.2-10c), break the bar over the right side in the middle

page 11 equation (1.2-10c), break the bar over the right side in the middle I. Corrctios Lst Updtd: Ju 00 Complx Vrils with Applictios, 3 rd ditio, A. Dvid Wusch First Pritig. A ook ought for My 007 will proly first pritig With Thks to Christi Hos of Swd pg qutio (.-0c), rk th

More information

Traveling Salesperson Problem and Neural Networks. A Complete Algorithm in Matrix Form

Traveling Salesperson Problem and Neural Networks. A Complete Algorithm in Matrix Form Procdigs of th th WSEAS Itratioal Cofrc o COMPUTERS, Agios Nikolaos, Crt Islad, Grc, July 6-8, 7 47 Travlig Salsprso Problm ad Nural Ntworks A Complt Algorithm i Matrix Form NICOLAE POPOVICIU Faculty of

More information

The Frequency Response of a Quarter-Wave Matching Network

The Frequency Response of a Quarter-Wave Matching Network 4/1/29 Th Frquncy Rsons o a Quartr 1/9 Th Frquncy Rsons o a Quartr-Wav Matchg Ntwork Q: You hav onc aga rovidd us with conusg and rhas uslss ormation. Th quartr-wav matchg ntwork has an xact SFG o: a Τ

More information

They must have different numbers of electrons orbiting their nuclei. They must have the same number of neutrons in their nuclei.

They must have different numbers of electrons orbiting their nuclei. They must have the same number of neutrons in their nuclei. 37 1 How may utros ar i a uclus of th uclid l? 20 37 54 2 crtai lmt has svral isotops. Which statmt about ths isotops is corrct? Thy must hav diffrt umbrs of lctros orbitig thir ucli. Thy must hav th sam

More information

ROBUST CONTROL OF A SPEED SENSORLESS PERMANENT MAGNET SYNCHRONOUS MOTOR DRIVE

ROBUST CONTROL OF A SPEED SENSORLESS PERMANENT MAGNET SYNCHRONOUS MOTOR DRIVE ROBUST CONTROL OF A SPEED SENSORLESS PERMANENT MAGNET SYNCHRONOUS MOTOR DRIVE A. A. Hassa, a M. Azzam Elctrical Egirig Dpartmt, Faculty of Egirig, El-Miia Uirsity, EL-Miia, Egypt. {aahs, azzam126} @yahoo.com

More information

ECE 2210 / 00 Phasor Examples

ECE 2210 / 00 Phasor Examples EE 0 / 00 Phasor Exampls. Add th sinusoidal voltags v ( t ) 4.5. cos( t 30. and v ( t ) 3.. cos( t 5. v ( t) using phasor notation, draw a phasor diagram of th thr phasors, thn convrt back to tim domain

More information

Multiple Short Term Infusion Homework # 5 PHA 5127

Multiple Short Term Infusion Homework # 5 PHA 5127 Multipl Short rm Infusion Homwork # 5 PHA 527 A rug is aministr as a short trm infusion. h avrag pharmacokintic paramtrs for this rug ar: k 0.40 hr - V 28 L his rug follows a on-compartmnt boy mol. A 300

More information

Physics 302 Exam Find the curve that passes through endpoints (0,0) and (1,1) and minimizes 1

Physics 302 Exam Find the curve that passes through endpoints (0,0) and (1,1) and minimizes 1 Physis Exam 6. Fid th urv that passs through dpoits (, ad (, ad miimizs J [ y' y ]dx Solutio: Si th itgrad f dos ot dpd upo th variabl of itgratio x, w will us th sod form of Eulr s quatio: f f y' y' y

More information

CYLINDER THRUST CALCULATION

CYLINDER THRUST CALCULATION 160 double rod escapement SPCIFICATIOS OPRATI PRSSUR OPRATI TMPRATUR OCITY UBRICATIO MAITAC SRIS 160 0 psi min to 150 psi [ bar min to 10 bar max] air -0 to +180 F [-8 to +8 C] 0 in/sec [0.5 m/sec] typical

More information

1973 AP Calculus BC: Section I

1973 AP Calculus BC: Section I 97 AP Calculus BC: Scio I 9 Mius No Calculaor No: I his amiaio, l dos h aural logarihm of (ha is, logarihm o h bas ).. If f ( ) =, h f ( ) = ( ). ( ) + d = 7 6. If f( ) = +, h h s of valus for which f

More information

Lectur 22. RF and Microwave Circuit Design Γ-Plane and Smith Chart Analysis. ECE 303 Fall 2005 Farhan Rana Cornell University

Lectur 22. RF and Microwave Circuit Design Γ-Plane and Smith Chart Analysis. ECE 303 Fall 2005 Farhan Rana Cornell University ctur RF ad Micrwav Circuit Dig -Pla ad Smith Chart Aalyi I thi lctur yu will lar: -pla ad Smith Chart Stub tuig Quartr-Wav trafrmr ECE 33 Fall 5 Farha Raa Crll Uivrity V V Impdac Trafrmati i Tramii i ω

More information

Hardy-Littlewood Conjecture and Exceptional real Zero. JinHua Fei. ChangLing Company of Electronic Technology Baoji Shannxi P.R.

Hardy-Littlewood Conjecture and Exceptional real Zero. JinHua Fei. ChangLing Company of Electronic Technology Baoji Shannxi P.R. Hardy-Littlwood Conjctur and Excptional ral Zro JinHua Fi ChangLing Company of Elctronic Tchnology Baoji Shannxi P.R.China E-mail: fijinhuayoujian@msn.com Abstract. In this papr, w assum that Hardy-Littlwood

More information

Addition of angular momentum

Addition of angular momentum Addition of angular momntum April, 0 Oftn w nd to combin diffrnt sourcs of angular momntum to charactriz th total angular momntum of a systm, or to divid th total angular momntum into parts to valuat th

More information

SECTION where P (cos θ, sin θ) and Q(cos θ, sin θ) are polynomials in cos θ and sin θ, provided Q is never equal to zero.

SECTION where P (cos θ, sin θ) and Q(cos θ, sin θ) are polynomials in cos θ and sin θ, provided Q is never equal to zero. SETION 6. 57 6. Evaluation of Dfinit Intgrals Exampl 6.6 W hav usd dfinit intgrals to valuat contour intgrals. It may com as a surpris to larn that contour intgrals and rsidus can b usd to valuat crtain

More information

H2 Mathematics Arithmetic & Geometric Series ( )

H2 Mathematics Arithmetic & Geometric Series ( ) H Mathmatics Arithmtic & Gomtric Sris (08 09) Basic Mastry Qustios Arithmtic Progrssio ad Sris. Th rth trm of a squc is 4r 7. (i) Stat th first four trms ad th 0th trm. (ii) Show that th squc is a arithmtic

More information

Hydrogen Atom and One Electron Ions

Hydrogen Atom and One Electron Ions Hydrogn Atom and On Elctron Ions Th Schrödingr quation for this two-body problm starts out th sam as th gnral two-body Schrödingr quation. First w sparat out th motion of th cntr of mass. Th intrnal potntial

More information

Multi-Machine Systems with Constant Impedance Loads

Multi-Machine Systems with Constant Impedance Loads Mult-Mach Systms wth Costat Impac Loas Th parts of th txt whch w hav yt to covr clu: Chaptr 3: Systm rspos to small sturbacs Chaptr 6: Lar mols of sychroous machs Chaptrs 7-8: Exctato systms a Effct of

More information

A GENERALIZED RAMANUJAN-NAGELL EQUATION RELATED TO CERTAIN STRONGLY REGULAR GRAPHS

A GENERALIZED RAMANUJAN-NAGELL EQUATION RELATED TO CERTAIN STRONGLY REGULAR GRAPHS #A35 INTEGERS 4 (204) A GENERALIZED RAMANUJAN-NAGELL EQUATION RELATED TO CERTAIN STRONGLY REGULAR GRAPHS B d Wgr Faculty of Mathmatics ad Computr Scic, Eidhov Uivrsity of Tchology, Eidhov, Th Nthrlads

More information

Unbalanced Panel Data Models

Unbalanced Panel Data Models Ubalacd Pal Data odls Chaptr 9 from Baltag: Ecoomtrc Aalyss of Pal Data 5 by Adrás alascs 4448 troducto balacd or complt pals: a pal data st whr data/obsrvatos ar avalabl for all crosssctoal uts th tr

More information

07 - SEQUENCES AND SERIES Page 1 ( Answers at he end of all questions ) b, z = n

07 - SEQUENCES AND SERIES Page 1 ( Answers at he end of all questions ) b, z = n 07 - SEQUENCES AND SERIES Pag ( Aswrs at h d of all qustios ) ( ) If = a, y = b, z = c, whr a, b, c ar i A.P. ad = 0 = 0 = 0 l a l

More information

Basic Polyhedral theory

Basic Polyhedral theory Basic Polyhdral thory Th st P = { A b} is calld a polyhdron. Lmma 1. Eithr th systm A = b, b 0, 0 has a solution or thr is a vctorπ such that π A 0, πb < 0 Thr cass, if solution in top row dos not ist

More information