Adaptive Imbalances Correction in LINC Transmitters. Paloma García, Jesús de Mingo, Antonio Valdovinos and Alfonso Ortega

Size: px
Start display at page:

Download "Adaptive Imbalances Correction in LINC Transmitters. Paloma García, Jesús de Mingo, Antonio Valdovinos and Alfonso Ortega"

Transcription

1 Adapi Imbalac Corrcio i LINC Tramir Paloma arcía, Jú d Migo, Aoio Valdoio ad Alfoo Orga Uiriy of Zaragoza, Elcroic Egirig ad Commuicaio Dp., Zaragoza, Spai. -mail: paloma@uizar., migo@uizar., oi@uizar., orga@uizar. Abrac: Th LIar amplificaio uig Noliar Compo (LINC chiqu i a wllkow powr amplifir liarizaio mhod o rduc adjac chal irfrc i a ocoa lop modulaio ym. I major drawback i h ihrid iiiy o gai ad pha imbalac bw h wo amplifir brach. I hi papr wo ol adapi fulldigial ba bad mhod ar dcribd which corrc ay gai ad pha imbalac i LINC ramir. Thir mai adaag i h abiliy o rack h ipu igal ariaio ad adap o h chag of amplifir oliar characriic.. Iroducio Th growig dmad for mobil commuicaio ric ad h limi of h frqucy pcrum ha icrad h u of pcrally ffici modulaio, mo of which ha o-coa lop. A a rul of ramir oliarii (maily from h powr amplifir h ramid igal pcrum xpad io adjac chal, a ffc kow a ACI (Adjac Chal Irfrc. Som ym ar ry rrici wih rgard o puriou miio i h adjac chal. I ordr o m hi rrici rquirm, h LINC claical liarizig chiqu for powr amplifir i propod ( Fig.. I major drawback i ihrid iiiy o gai ad pha imbalac bw h wo amplifir brach [,]. Th prd ol mhod u adapi igal procig chiqu ad i mai adaag i o rack ipu igal ariaio ad poibl chag du o mpraur ariaio ad compo agig, amog ohr. I i carrid ou i ba-bad ad i full-digial. Thorough imulaio wr carrid o alua ral opio. Sigal Compo Sparaor (SCS i Quadraur Modulaor q i Quadraur Modulaor q o Fig. Schmaic diagram of h LINC ramir. Imbalac ffc i a LINC ramir O of h rao ha h LINC ramir ha o b ud widly i h difficuly o achi accura gai ad pha machig rquird bw h wo pah. Error i gai ad/or pha machig will cau o o icompl cacllaio of uwad lm i widbad pha modulad igal. A a rul, a larg umbr of uwad puriou produc appar i h oupu pcrum, a obrd priouly [,,3,4,8]. Th ffc of gai ad pha imbalac bw h wo pah may b aalyzd a follow. Th ourc igal may b wri i complx gral forma a [7] jρ c c cmax < ( Th ourc igal i parad io wo coalop igal by a Sigal Compo Sparaor (SCS a how i Fig.. Th igal ar calculad a [ ] ( [ ] whr i a igal ha i i quadraur o h ourc igal. c max j (3 Thu ad Th amplifir of ach pah i characrizd by a lldpd complx gai, wih a oupu igal i ach pah gi by ( ( o o (4 whr ad ar h complx babad rpraio of h iaaou ipu complx modulaio lop of h powr amplifir i ach pah. I Fig., h powr amplifir ipu igal, ad, rpr h corrpodig badpa igal of ach pah. Thrfor, if h D-o-A corr ad quadraur modulaor ar uppod o b idal, ha i, ad, h oupu igal i complx forma h bcom o o o ( ( (5

2 Th cod rm i (5 impli ha hr i a uwad ridual igal du o imprfc cacllaio (i d o zro a h gai ad pha machig ar prfcd. Th rm iroduc irfrig powr i h adjac chal limiig h pcrum fficicy of h ym. Th aim of hi mhod i o rduc h facor [ ( ( ] a much a poibl. 3. Modl of Corrcio Mhod-I A chmaic diagram of h imulaio modl i dpicd i Fig.. Th ourc igal i parad io h wo coa-lop igal by a SCS. Th igal ar muliplid by diffr complx coffici, o for ach brach (K ad K. Th coffici ar compud o rduc h Adjac Chal Irfrc by ma of a adapi algorihm. Thi algorihm d a rfrc of h oupu igal o upda h complx coffici. Two rfrc igal, o for ach pah, r ad r ar obaid by ma of a dowcorio proc of h oupu igal o ad o rpcily, whr ad ar h dowcorio gai i ach L L pah. Thy ar calculad o adju h rag of alu of h quadraur dmodulaor ipu. Fig.. Simulaio modl Th adapaio cririo of h algorihm i o miimiz h ma-quard-rror i ach pah. Th rror igal for ach pah (dfid by (6 i h diffrc bw h coa-lop igal grad by h SCS block ad h rfrc igal of h oupu igal. Sigal Compo Sparaor (SCS K K r r ( K ( L r Quadraur Modulaor q i Quadraur Modulaor Quadraur Dmodulaor ( r ( K (6 L whr idal D-o-A, A-o-D corr, quadraur modulaor ad dmodulaor ar aumd. i q Quadraur Dmodulaor Th co fucio o miimiz ar dfid a L L o o o J E J E (7 Whr E[.] do h aiical xpcaio opraor. Th gradi of h co fucio i calculad a J J J j (8 K Kr Ki Wih K Kr jki, Whr Kr do h ral par ad Ki h imagiary par of K. For h co fucio J o aai i miimum alu, all h rm of h gradi mu b imulaouly qual o zro. Applyig om approximaio, w fially g for ach pah h rul * r J E, (9 k K Thrfor, uig h iaaou ima of h gradi, h updad alu of h adapi coffici a im m i compud by uig h impl rcuri rlaio ( m ( m r K ( ( ( m K m µ m, K ( Whr h poii ral-alud coa µ (p-iz, corol h pd of corgc ad h miadjum (fial xc rror of h algorihm. Th ourc igal for imulaio wa a π/4-dqpsk modulad igal filrd wih a quard-roo raid coi wih a.35 roll-off facor a 36 Kbp, which corrpod o a TETRA igal. Th amplifir i characrizd by a complx gai uig a mmoryl modl [6,8], which dpd o h ipu igal ll. Th complx gai of h amplifir i xracd from maurm of AM-AM ad AM-PM corio of a Miubihi M68749 amplifir (wih a drir a 39 MHz (5 Ω ym. A polyomic rgrio i ud o modl h amplifir complx gai of ach pah. M Φ jφ M ( (, ( α 8α 76α,,, α 9354α,4, α 64α 6,6,7.4β.5β 7.67β,,, β β,4, β β 6,6,7 * ( (3

3 Normalizd Powr Diy Spcrum (db Normalizd Powr Diy Spcrum (db Th amplifir i pah i imulad wih h coffici α ad β. Th amplifir i pah wa imulad iroducig ral imbalac i om coffici of h gai ad pha poliomy. Sral wr carrid ou by modifyig h facor α,j ad β,j amog a ± %. Fig. 3 how h ormalizd ipu S(f ad oupu S o (f powr pcrum diy for a 3- Wa oupu powr amplifir udr diffr gai ad pha imbalac bw boh brach of h LINC ramir (wihou applyig h corrcio mhod Frqucy (ormalizd o ymbol ra Fig. 3. Normalizd Powr Diy Spcrum of imulad ipu S(f ad oupu S o(f wih ral gai ad pha imbalac bw boh brach of a LINC ramir wihou corrcio mhod. (a a 3dB, φ a º, (b a db, φ a 5º,(c a db, φ a 3º, (d a.7db, φ a º,( a.5db, φ a º Fig. 3 illura h ffc of gai ad pha imbalac ad h d for a mhod o achi gai ad pha machig a prd i hi papr. Fig. 4 compar h ormalizd ipu ad oupu powr pcrum diy wih ad wihou h prd adapi corrcio mhod ad wih a gai imbalac of approximaly.5 db ad a pha imbalac aroud 5º bw h amplifir i pah ad h o i pah. Th ACI i improd afr applyig h corrcio mhod wih accura gai ad pha machig bw h wo pah. Th ACI i h fir adjac chal wihou corrcio i aroud 35 dbc, bu -7 dbc wih h corrcio mhod (35 db improm Fig. 4. Normalizd Powr Diy Spcrum of imulad ipu S(f ad oupu S o(f wih ad wihou corrcio (a S(f So(f S(f So(f wihou corrcio So(f wih corrcio Frqucy (ormalizd o ymbol ra (b (c (d ( 3. Limiaio of h corrcio algorihm I h priou imulaio h am dowcorio gai i ach pah wa aumd, ha i, L L. Th pracical implmaio of hi balac bw boh dowcorio brach i chologically ry difficul, alhough i i air ha bw LINC ramir brach. Thu, w aalyzd h ffc of h imbalac (uppodly liar, bw h dowcorio brach. Fig. 5 how h prformac obaid i h imulaio wh a gai ( ad pha ( φ imbalac facor bw L ad L i iroducd. A xpcd, ACI udr ral codiio icra coidrably, wih gai ad pha imbalac bw dowcorio brach. (.5 db ad φ º, Normalizd Powr Diy Spcrum (db S(f So(f wihou corrcio So(f wih corrcio ad ral dow imbalac. db φ 5 º Frqucy (ormalizd o ymbol ra Fig. 5. Normalizd Powr Diy Spcrum of imulad ipu S(f ad oupu S o(f wih ad wihou corrcio mhod ad wih ral imbalac bw dowcorio brach. 4. Modl of Corrcio Mhod-II O way o ol hi problm i o ha oly o fdback brach, hu obaiig a igl rfrc igal of h powr oupu igal, o. Thi rfrc igal ca b pli io wo igal uig a SCS block o obai h wo rror igal (o for ach pah, dd for h adapi algorihm. Fig. 6 how h w propod archicur. Sigal Compo Sparaor (SCS K r K r SCS i Quadraur Modulaor q i Quadraur Modulaor r q Quadraur Dmodulaor Fig.6. Simulaio modl of mhod II. db φ º.5 db φ º o o L o

4 I hi ca, h rror igal i ach pah i r r ( whr r ad r ar obaid from r uig a Sigal Compo Sparaor block Aumig idal D-o-A ad A-o-D corr ad quadraur modulaor ad dmodulaor, h rfrc igal r i r r r o K L ( K L (5 Magiud im (µ Fig. 8. Eoluio of h rror igal i ach pah. A i h priou mhod, h adapaio cririo of h algorihm i ud o miimiz h ma-quardrror i ach pah. Thrfor h co fucio o miimiz i dfid a (7. Applyig om approximaio, for ach pah w obai h am rul a (9. Thrfor, h updad alu of h adapi coffici a im m ca b compud uig h am rcuri rlaio a (. Th prformac of hi w mhod i illurad i Fig.7. Th ACI i h fir adjac chal wihou corrcio i aroud 35 dbc, bu blow 64 dbc uig h w corrcio mhod ( 3dB improm. I g wor ha h priou mhod, bu i do o dpd o h dowcorio gai imbalac ad oly o fdback dmodulaio brach i dd. Normalizd Powr Diy Spcrum (db S(f So(f wih corrcio So(f wihou corrcio Frqucy (ormalizd o ymbol ra Fig. 7. Normalizd Powr Diy Spcrum of imulad ipu S(f ad oupu S o(f wih ad wihou corrcio mhod II Th pd of corgc ca b maurd by aalyzig h im oluio of h rror igal ad. Th p iz paramr, µ, wa cho o rduc h ACI (up o -6dBc i h fir adjac chal a quickly a poibl ( Fig. 8. Th corgc im (< µ i uiabl i ordr o b implmd i a ral im ym. 4.. Modulaor ad Dmodulaor Mialigm Prfcly balacd quadraur modulaor ad dmodulaor wr aumd i hi archicur, which lad o aohr pracical coidraio. Th quadraur imbalac (ampliud ad pha cra a ridu i h adjac chal, icraig h ACI [9]. Fig. 9 how h dgradaio of h ACI wh hr ar imbalac i h quadraur modulaor. Simulaio wr carrid ou wih ral ampliud ad pha imbalac. Th rul ar ry promiig for imbalac alu corrpodig o commrcial quadraur modulaor (ampliud rror bw.5 db ad db ad pha rror bw º ad 5º. W alo aalyzd h ffc of a ubalacd quadraur dmodulaor i hi archicur. Som imulaio wr carrid ou wih commrcial gai ad pha rror bu hir ffc o h I/Q dmodulaor wa o igifica. Normalizd Powr Diy Spcrum (db So(f wihou corrcio So(f wih corrcio ad ral imbalac Frqucy (ormalizd o ymbol ra Fig. 9. Normalizd Powr Diy Spcrum of imulad ipu S(f ad oupu S o(f wih ral gai ad pha imbalac i h quadraur modulaor.

5 4.. Mhod Viabiliy Accordig o h imulaio prd, h mhod prform wll wih imbalac i h quadraur modulaor ad dmodulaor. I hi cio w dicu h pracical faibiliy of h mhod. Digial block of h dig (uch a SCS ad h calculaio o upda h adapi coffici K ad K ca b implmd i a powrful Digial Sigal Procor (DSP dic. Maximum opimizaio of h implmaio of h algorihm i carrid ou approachig om DSP faur, uch a pd or pcial irucio for igal procig. Th algorihm mu b rarchd i ordr o dcra h umbr of irucio o rduc h compuaioal load ad iroduc miimum dlay i h ym. Aohr impora ffc ca b h quaizaio i h SCS block. Th dig i carrid ou accordig o h rquirm dcribd i [5], ad hrfor h ffc of h quaizaio will b miimum. Th Sigal Compo Sparaor i implmd i a fixd-poi DSP of a fii word lgh (6 bi. Accordig o [5] hi word lgh i uiabl ough o obai a ACI up o 6 dbc i h fir adjac chal. Th ffc quaizaio will o b a problm i a ral dig wih a righ choic of D-o-A ad A-o-D corr i h curr wid rag of commrcial dic (.g. 4 or 6 bi. Aohr idal iuaio ha ha b aumd i h priou imulaio corrpod o h ozro loop dlay. Th rfrc igal r i a dlayd ad auad rio of amplifir oupu o. Th dlay mu b compad for h adapi algorihm o corrcly compar wih r. Th am DSP dic gra igal ad r, whr ar obaid from h ourc igal ad r from h fdback igal r. Thu, h dlay compaio ca b aily obaid by comparig h ampl wih h calculad loop dlay. Thrfor h dlay producd by h corrcio circui ha o b imad bfor iroducig h adapi algorihm. A rough imaio ca b carrid ou wih h horical im dlay of h compo i h dig or by applyig om of h loop dlay imaio chiqu propod by ohr auhor [6,8,,] or wih om priou calibraio. 5. Cocluio A ol mhod o corrc gai ad pha imbalac i LINC ramir wa dcribd. Uig a imulaio w howd ha i i poibl o rduc h ACI o m h rrici pcificaio of h TETRA digial commuicaio ym. Th ym corg quickly oward ry low irfrc ll i adjac chal. A a rul of i adapi chiqu, hi mhod ca rack h ipu igal ariaio ad poibl chag du o ariaio i opraig codiio. Accordig o h imulaio, h adapi coffici quickly rach i opimal alu, hrfor hi mhod could b implmd i a ral ym by ma a uiably powrful DSP dic. Ackowldgm Thi work ha b uppord by h CICYT (Spai udr gra TIC-48. REFERENCES [] F. J. Caadall ad A. Valdoio, Prformac Aalyi of QAM Modulaio Applid o h LINC Tramir, IEEE Tra. o Vh. Tch., Vol. 4, No. 4, Nombr 993, pp [] F. J. Caadall ad J.J. Olmo, O h bhaiour of h LINC Tramir, i Proc. 4 h IEEE Vh. Tch. Cof, Orlado. May pp 9-34 [3] L. Sudröm. Auomaic adjum of gai ad pha imbalac i LINC ramir, Elcro. L., Vol. 3, o 3, pp , Fb, 995. [4] Xuju Zhag ad Lawrc E. Laro, ai ad pha rror-fr LINC ramir, IEEE Tra. o Vh. Tch., Vol. 49, No. 5, Spmbr, pp [5] L. Sudröm, Th Effc of Quaizaio i a Digial Sigal Compo Sparaor for LINC Tramir, IEEE Tra. o Vh. Tch., Vol. 45, No., May, pp [6] S.A. Maa, Volrra aalyi of pcral rgrowh, IEEE Microwa uidd Wa L, ol. 7, pp. 9-93, July 997 [7] Hzl, S.A., A. Bama, ad J.P. Mcha, LINC ramir, IEEE Elcroic Lr, ol. 7, o, pp , May 99 [8] J. d Migo ad A. Valdoio, Prformac of a Nw Digial Babad Prdiorr Uig Calibraio Mmory, IEEE Tra. o Vh. Tch., Vol. 5, No. 4, July, pp [9] J. K. Car, Th ffc of quadraur modulaor ad dmodulaor rror o adapi digial prdiorr for amplifir liarizaio, IEEE Tra. o Vh. Tch., Vol. 46, May 997, pp [] J. K. Car, Nw mhod for adapaio of quadraur modulaor ad dmodulaor i amplifir liarizaio circui, IEEE Tra. o Vh. Tch., Vol. 46, No 3, Aug. 997, pp [] Y. Nagaa, Liar amplificaio chiqu for digial mobil commuicaio Proc. 39 h IEEE Vh. Cof., pp59-64, May 989

ECEN620: Network Theory Broadband Circuit Design Fall 2014

ECEN620: Network Theory Broadband Circuit Design Fall 2014 ECE60: work Thory Broadbad Circui Dig Fall 04 Lcur 6: PLL Trai Bhavior Sam Palrmo Aalog & Mixd-Sigal Cr Txa A&M Uivriy Aoucm, Agda, & Rfrc HW i du oday by 5PM PLL Trackig Rpo Pha Dcor Modl PLL Hold Rag

More information

Numerical Simulation for the 2-D Heat Equation with Derivative Boundary Conditions

Numerical Simulation for the 2-D Heat Equation with Derivative Boundary Conditions IOSR Joural of Applid Chmisr IOSR-JAC -ISSN: 78-576.Volum 9 Issu 8 Vr. I Aug. 6 PP 4-8 www.iosrjourals.org Numrical Simulaio for h - Ha Equaio wih rivaiv Boudar Codiios Ima. I. Gorial parm of Mahmaics

More information

Note 6 Frequency Response

Note 6 Frequency Response No 6 Frqucy Rpo Dparm of Mchaical Egirig, Uivriy Of Sakachwa, 57 Campu Driv, Sakaoo, S S7N 59, Caada Dparm of Mchaical Egirig, Uivriy Of Sakachwa, 57 Campu Driv, Sakaoo, S S7N 59, Caada. alyical Exprio

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

Part B: Transform Methods. Professor E. Ambikairajah UNSW, Australia

Part B: Transform Methods. Professor E. Ambikairajah UNSW, Australia Par B: rasform Mhods Profssor E. Ambikairaah UNSW, Ausralia Chapr : Fourir Rprsaio of Sigal. Fourir Sris. Fourir rasform.3 Ivrs Fourir rasform.4 Propris.4. Frqucy Shif.4. im Shif.4.3 Scalig.4.4 Diffriaio

More information

15. Numerical Methods

15. Numerical Methods S K Modal' 5. Numrical Mhod. Th quaio + 4 4 i o b olvd uig h Nwo-Rapho mhod. If i ak a h iiial approimaio of h oluio, h h approimaio uig hi mhod will b [EC: GATE-7].(a (a (b 4 Nwo-Rapho iraio chm i f(

More information

Modeling of the CML FD noise-to-jitter conversion as an LPTV process

Modeling of the CML FD noise-to-jitter conversion as an LPTV process Modlig of h CML FD ois-o-ir covrsio as a LPV procss Marko Alksic. Rvisio hisory Vrsio Da Comms. //4 Firs vrsio mrgd wo docums. Cyclosaioary Nois ad Applicaio o CML Frqucy Dividr Jir/Phas Nois Aalysis fil

More information

Fourier Series: main points

Fourier Series: main points BIOEN 3 Lcur 6 Fourir rasforms Novmbr 9, Fourir Sris: mai pois Ifii sum of sis, cosis, or boh + a a cos( + b si( All frqucis ar igr mulipls of a fudamal frqucy, o F.S. ca rprs ay priodic fucio ha w ca

More information

Control Systems. Transient and Steady State Response.

Control Systems. Transient and Steady State Response. Corol Sym Trai a Say Sa Ro chibum@oulch.ac.kr Ouli Tim Domai Aalyi orr ym Ui ro Ui ram ro Ui imul ro Chibum L -Soulch Corol Sym Tim Domai Aalyi Afr h mahmaical mol of h ym i obai, aalyi of ym rformac i.

More information

Improved Exponential Estimator for Population Variance Using Two Auxiliary Variables

Improved Exponential Estimator for Population Variance Using Two Auxiliary Variables Improvd Epoal Emaor for Populao Varac Ug Two Aular Varabl Rajh gh Dparm of ac,baara Hdu Uvr(U.P., Ida (rgha@ahoo.com Pakaj Chauha ad rmala awa chool of ac, DAVV, Idor (M.P., Ida Flor maradach Dparm of

More information

3.2. Derivation of Laplace Transforms of Simple Functions

3.2. Derivation of Laplace Transforms of Simple Functions 3. aplac Tarform 3. PE TRNSFORM wid rag of girig ym ar modld mahmaically by uig diffrial quaio. I gral, h diffrial quaio of h ordr ym i wri: d y( a d d d y( dy( a a y( f( (3. d Which i alo ow a a liar

More information

Advanced Engineering Mathematics, K.A. Stroud, Dexter J. Booth Engineering Mathematics, H.K. Dass Higher Engineering Mathematics, Dr. B.S.

Advanced Engineering Mathematics, K.A. Stroud, Dexter J. Booth Engineering Mathematics, H.K. Dass Higher Engineering Mathematics, Dr. B.S. Rfrc: (i) (ii) (iii) Advcd Egirig Mhmic, K.A. Sroud, Dxr J. Booh Egirig Mhmic, H.K. D Highr Egirig Mhmic, Dr. B.S. Grwl Th mhod of m Thi coi of h followig xm wih h giv coribuio o h ol. () Mid-rm xm : 3%

More information

Continous system: differential equations

Continous system: differential equations /6/008 Coious sysm: diffrial quaios Drmiisic modls drivaivs isad of (+)-( r( compar ( + ) R( + r ( (0) ( R ( 0 ) ( Dcid wha hav a ffc o h sysm Drmi whhr h paramrs ar posiiv or gaiv, i.. giv growh or rducio

More information

Improved Exponential Estimator for Population Variance Using Two Auxiliary Variables

Improved Exponential Estimator for Population Variance Using Two Auxiliary Variables Rajh gh Dparm of ac,baara Hdu Uvr(U.P.), Ida Pakaj Chauha, rmala awa chool of ac, DAVV, Idor (M.P.), Ida Flor maradach Dparm of Mahmac, Uvr of w Mco, Gallup, UA Improvd Epoal Emaor for Populao Varac Ug

More information

Poisson Arrival Process

Poisson Arrival Process Poisso Arrival Procss Arrivals occur i) i a mmylss mar ii) [ o arrival durig Δ ] = λδ + ( Δ ) P o [ o arrival durig Δ ] = λδ + ( Δ ) P o P j arrivals durig Δ = o Δ f j = 2,3, o Δ whr lim =. Δ Δ C C 2 C

More information

Poisson Arrival Process

Poisson Arrival Process 1 Poisso Arrival Procss Arrivals occur i) i a mmorylss mar ii) [ o arrival durig Δ ] = λδ + ( Δ ) P o [ o arrival durig Δ ] = 1 λδ + ( Δ ) P o P j arrivals durig Δ = o Δ for j = 2,3, ( ) o Δ whr lim =

More information

Chapter4 Time Domain Analysis of Control System

Chapter4 Time Domain Analysis of Control System Chpr4 im Domi Alyi of Corol Sym Rouh biliy cririo Sdy rror ri rpo of h fir-ordr ym ri rpo of h cod-ordr ym im domi prformc pcificio h rliohip bw h prformc pcificio d ym prmr ri rpo of highr-ordr ym Dfiiio

More information

Improved estimation of population variance using information on auxiliary attribute in simple random sampling. Rajesh Singh and Sachin Malik

Improved estimation of population variance using information on auxiliary attribute in simple random sampling. Rajesh Singh and Sachin Malik Imrovd imaio of oulaio variac uig iformaio o auxiliar ariu i iml radom amlig Rajh igh ad achi alik Darm of aiic, Baara Hidu Uivri Varaai-5, Idia (righa@gmail.com, achikurava999@gmail.com) Arac igh ad Kumar

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

Digital Modulation Schemes

Digital Modulation Schemes Digial Modulaio cheme Digial ramiio chai igal repreeaio ime domai Frequecy domai igal pace Liear modulaio cheme Ampliude hi Keyig (AK) Phae hi Keyig (PK) Combiaio (APK, QAM) Pule hapig Coiuou Phae Modulaio

More information

Transfer function and the Laplace transformation

Transfer function and the Laplace transformation Lab No PH-35 Porland Sa Univriy A. La Roa Tranfr funcion and h Laplac ranformaion. INTRODUTION. THE LAPLAE TRANSFORMATION L 3. TRANSFER FUNTIONS 4. ELETRIAL SYSTEMS Analyi of h hr baic paiv lmn R, and

More information

Fourier Techniques Chapters 2 & 3, Part I

Fourier Techniques Chapters 2 & 3, Part I Fourir chiqus Chaprs & 3, Par I Dr. Yu Q. Shi Dp o Elcrical & Compur Egirig Nw Jrsy Isiu o chology Email: shi@i.du usd or h cours: , 4 h Ediio, Lahi ad Dog, Oord

More information

( A) ( B) ( C) ( D) ( E)

( A) ( B) ( C) ( D) ( E) d Smsr Fial Exam Worksh x 5x.( NC)If f ( ) d + 7, h 4 f ( ) d is 9x + x 5 6 ( B) ( C) 0 7 ( E) divrg +. (NC) Th ifii sris ak has h parial sum S ( ) for. k Wha is h sum of h sris a? ( B) 0 ( C) ( E) divrgs

More information

Consider serial transmission. In Proakis notation, we receive

Consider serial transmission. In Proakis notation, we receive 5..3 Dciio-Dirctd Pha Trackig [P 6..4] 5.-1 Trackr commoly work o radom data igal (plu oi), o th kow-igal modl do ot apply. W till kow much about th tructur o th igal, though, ad w ca xploit it. Coidr

More information

Mixing time with Coupling

Mixing time with Coupling Mixig im wih Couplig Jihui Li Mig Zhg Saisics Dparm May 7 Goal Iroducio o boudig h mixig im for MCMC wih couplig ad pah couplig Prsig a simpl xampl o illusra h basic ida Noaio M is a Markov chai o fii

More information

EEE 303: Signals and Linear Systems

EEE 303: Signals and Linear Systems 33: Sigls d Lir Sysms Orhogoliy bw wo sigls L us pproim fucio f () by fucio () ovr irvl : f ( ) = c( ); h rror i pproimio is, () = f() c () h rgy of rror sigl ovr h irvl [, ] is, { }{ } = f () c () d =

More information

Ring of Large Number Mutually Coupled Oscillators Periodic Solutions

Ring of Large Number Mutually Coupled Oscillators Periodic Solutions Iraioal Joural of horical ad Mahmaical Physics 4, 4(6: 5-9 DOI: 59/jijmp446 Rig of arg Numbr Muually Coupld Oscillaors Priodic Soluios Vasil G Aglov,*, Dafika z Aglova Dparm Nam of Mahmaics, Uivrsiy of

More information

MAT3700. Tutorial Letter 201/2/2016. Mathematics III (Engineering) Semester 2. Department of Mathematical sciences MAT3700/201/2/2016

MAT3700. Tutorial Letter 201/2/2016. Mathematics III (Engineering) Semester 2. Department of Mathematical sciences MAT3700/201/2/2016 MAT3700/0//06 Tuorial Lr 0//06 Mahmaics III (Egirig) MAT3700 Smsr Dparm of Mahmaical scics This uorial lr coais soluios ad aswrs o assigms. BARCODE CONTENTS Pag SOLUTIONS ASSIGNMENT... 3 SOLUTIONS ASSIGNMENT...

More information

Web-appendix 1: macro to calculate the range of ( ρ, for which R is positive definite

Web-appendix 1: macro to calculate the range of ( ρ, for which R is positive definite Wb-basd Supplmary Marials for Sampl siz cosidraios for GEE aalyss of hr-lvl clusr radomizd rials by Sv Trsra, Big Lu, oh S. Prissr, Tho va Achrbrg, ad Gorg F. Borm Wb-appdix : macro o calcula h rag of

More information

Chapter 3 Linear Equations of Higher Order (Page # 144)

Chapter 3 Linear Equations of Higher Order (Page # 144) Ma Modr Dirial Equaios Lcur wk 4 Jul 4-8 Dr Firozzama Darm o Mahmaics ad Saisics Arizoa Sa Uivrsi This wk s lcur will covr har ad har 4 Scios 4 har Liar Equaios o Highr Ordr Pag # 44 Scio Iroducio: Scod

More information

Trigonometric Formula

Trigonometric Formula MhScop g of 9 FORMULAE SHEET If h lik blow r o-fucioig ihr Sv hi fil o your hrd driv (o h rm lf of h br bov hi pg for viwig off li or ju coll dow h pg. [] Trigoomry formul. [] Tbl of uful rigoomric vlu.

More information

Analysis of Non-Sinusoidal Waveforms Part 2 Laplace Transform

Analysis of Non-Sinusoidal Waveforms Part 2 Laplace Transform Aalyi o No-Siuoidal Wavorm Par Laplac raorm I h arlir cio, w lar ha h Fourir Sri may b wri i complx orm a ( ) C jω whr h Fourir coici C i giv by o o jωo C ( ) d o I h ymmrical orm, h Fourir ri i wri wih

More information

AE57/AC51/AT57 SIGNALS AND SYSTEMS DECEMBER 2012

AE57/AC51/AT57 SIGNALS AND SYSTEMS DECEMBER 2012 AE7/AC/A7 SIGNALS AND SYSEMS DECEMBER Q. Drmi powr d rgy of h followig igl j i ii =A co iii = Solio: i E P I I l jw l I d jw d d Powr i fii, i i powr igl ii =A cow E P I co w d / co l I I l d wd d Powr

More information

The Development of Suitable and Well-founded Numerical Methods to Solve Systems of Integro- Differential Equations,

The Development of Suitable and Well-founded Numerical Methods to Solve Systems of Integro- Differential Equations, Shiraz Uivrsiy of Tchology From h SlcdWorks of Habibolla Laifizadh Th Dvlopm of Suiabl ad Wll-foudd Numrical Mhods o Solv Sysms of Igro- Diffrial Equaios, Habibolla Laifizadh, Shiraz Uivrsiy of Tchology

More information

NON-LINEAR PARAMETER ESTIMATION USING VOLTERRA SERIES WITH MULTI-TONE EXCITATION

NON-LINEAR PARAMETER ESTIMATION USING VOLTERRA SERIES WITH MULTI-TONE EXCITATION NON-LINER PRMETER ESTIMTION USING VOLTERR SERIES WIT MULTI-TONE ECITTION imsh Char Dparm of Mchaical Egirig Visvsvaraya Rgioal Collg of Egirig Nagpur INDI-00 Naliash Vyas Dparm of Mchaical Egirig Iia Isiu

More information

ELECTROMAGNETIC COMPATIBILITY HANDBOOK 1. Chapter 12: Spectra of Periodic and Aperiodic Signals

ELECTROMAGNETIC COMPATIBILITY HANDBOOK 1. Chapter 12: Spectra of Periodic and Aperiodic Signals ELECTOMAGNETIC COMPATIBILITY HANDBOOK Chapr : Spcra of Priodic ad Apriodic Sigals. Drmi whhr ach of h followig fucios ar priodic. If hy ar priodic, provid hir fudamal frqucy ad priod. a) x 4cos( 5 ) si(

More information

Control Systems (Lecture note #6)

Control Systems (Lecture note #6) 6.5 Corol Sysms (Lcur o #6 Las Tm: Lar algbra rw Lar algbrac quaos soluos Paramrzao of all soluos Smlary rasformao: compao form Egalus ad gcors dagoal form bg pcur: o brach of h cours Vcor spacs marcs

More information

On the Derivatives of Bessel and Modified Bessel Functions with Respect to the Order and the Argument

On the Derivatives of Bessel and Modified Bessel Functions with Respect to the Order and the Argument Inrnaional Rsarch Journal of Applid Basic Scincs 03 Aailabl onlin a wwwirjabscom ISSN 5-838X / Vol 4 (): 47-433 Scinc Eplorr Publicaions On h Driais of Bssl Modifid Bssl Funcions wih Rspc o h Ordr h Argumn

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

ECE351: Signals and Systems I. Thinh Nguyen

ECE351: Signals and Systems I. Thinh Nguyen ECE35: Sigals ad Sysms I Thih Nguy FudamalsofSigalsadSysms x Fudamals of Sigals ad Sysms co. Fudamals of Sigals ad Sysms co. x x] Classificaio of sigals Classificaio of sigals co. x] x x] =xt s =x

More information

BMM3553 Mechanical Vibrations

BMM3553 Mechanical Vibrations BMM3553 Mhaial Vibraio Chapr 3: Damp Vibraio of Sigl Dgr of From Sym (Par ) by Ch Ku Ey Nizwa Bi Ch Ku Hui Fauly of Mhaial Egirig mail: y@ump.u.my Chapr Dripio Ep Ouom Su will b abl o: Drmi h aural frquy

More information

From Fourier Series towards Fourier Transform

From Fourier Series towards Fourier Transform From Fourir Sris owards Fourir rasform D D d D, d wh lim Dparm of Elcrical ad Compur Eiri D, d wh lim L s Cosidr a fucio G d W ca xprss D i rms of Gw D G Dparm of Elcrical ad Compur Eiri D G G 3 Dparm

More information

DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS. Assoc. Prof. Dr. Burak Kelleci. Spring 2018

DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS. Assoc. Prof. Dr. Burak Kelleci. Spring 2018 DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS Aoc. Prof. Dr. Burak Kllci Spring 08 OUTLINE Th Laplac Tranform Rgion of convrgnc for Laplac ranform Invr Laplac ranform Gomric valuaion

More information

Review Topics from Chapter 3&4. Fourier Series Fourier Transform Linear Time Invariant (LTI) Systems Energy-Type Signals Power-Type Signals

Review Topics from Chapter 3&4. Fourier Series Fourier Transform Linear Time Invariant (LTI) Systems Energy-Type Signals Power-Type Signals Rviw opics from Chapr 3&4 Fourir Sris Fourir rasform Liar im Ivaria (LI) Sysms Ergy-yp Sigals Powr-yp Sigals Fourir Sris Rprsaio for Priodic Sigals Dfiiio: L h sigal () b a priodic sigal wih priod. ()

More information

Lecture 12: Introduction to nonlinear optics II.

Lecture 12: Introduction to nonlinear optics II. Lcur : Iroduco o olar opcs II r Kužl ropagao of srog opc sgals propr olar ffcs Scod ordr ffcs! Thr-wav mxg has machg codo! Scod harmoc grao! Sum frqucy grao! aramrc grao Thrd ordr ffcs! Four-wav mxg! Opcal

More information

Final Exam : Solutions

Final Exam : Solutions Comp : Algorihm and Daa Srucur Final Exam : Soluion. Rcuriv Algorihm. (a) To bgin ind h mdian o {x, x,... x n }. Sinc vry numbr xcp on in h inrval [0, n] appar xacly onc in h li, w hav ha h mdian mu b

More information

Physics 160 Lecture 3. R. Johnson April 6, 2015

Physics 160 Lecture 3. R. Johnson April 6, 2015 Physics 6 Lcur 3 R. Johnson April 6, 5 RC Circui (Low-Pass Filr This is h sam RC circui w lookd a arlir h im doma, bu hr w ar rsd h frquncy rspons. So w pu a s wav sad of a sp funcion. whr R C RC Complx

More information

Signal & Linear System Analysis

Signal & Linear System Analysis Pricipl of Commuicaio I Fall, Sigal & Liar Sym Aalyi Sigal & Liar Sym Aalyi Sigal Modl ad Claificaio Drmiiic v. Radom Drmiiic igal: complly pcifid fucio of im. Prdicabl, o ucraiy.g., < < ; whr A ad ω ar

More information

Linear Systems Analysis in the Time Domain

Linear Systems Analysis in the Time Domain Liar Sysms Aalysis i h Tim Domai Firs Ordr Sysms di vl = L, vr = Ri, d di L + Ri = () d R x= i, x& = x+ ( ) L L X() s I() s = = = U() s E() s Ls+ R R L s + R u () = () =, i() = L i () = R R Firs Ordr Sysms

More information

Spring 2006 Process Dynamics, Operations, and Control Lesson 2: Mathematics Review

Spring 2006 Process Dynamics, Operations, and Control Lesson 2: Mathematics Review Spring 6 Procss Dynamics, Opraions, and Conrol.45 Lsson : Mahmaics Rviw. conx and dircion Imagin a sysm ha varis in im; w migh plo is oupu vs. im. A plo migh imply an quaion, and h quaion is usually an

More information

ELG3150 Assignment 3

ELG3150 Assignment 3 ELG350 Aigmt 3 Aigmt 3: E5.7; P5.6; P5.6; P5.9; AP5.; DP5.4 E5.7 A cotrol ytm for poitioig th had of a floppy dik driv ha th clodloop trafr fuctio 0.33( + 0.8) T ( ) ( + 0.6)( + 4 + 5) Plot th pol ad zro

More information

Naive Parameter Estimation Technique of Equity Return Models Based on Short and Long Memory Processes

Naive Parameter Estimation Technique of Equity Return Models Based on Short and Long Memory Processes 6 pp.-6 004 Naiv Paramr Eimaio Tchiqu of Equiy Rur Mol Ba o Shor a Log Mmory Proc Koichi Miyazai Abrac Th aalyi o variac of Japa quiy rur from h poi of obrvaio irval i qui fw hough i i impora i maagig

More information

t=0 t>0: + vr - i dvc Continuation

t=0 t>0: + vr - i dvc Continuation hapr Ga Dlay and rcus onnuaon s rcu Equaon >: S S Ths dffrnal quaon, oghr wh h nal condon, fully spcfs bhaor of crcu afr swch closs Our n challng: larn how o sol such quaons TUE/EE 57 nwrk analys 4/5 NdM

More information

Ma/CS 6a Class 15: Flows and Bipartite Graphs

Ma/CS 6a Class 15: Flows and Bipartite Graphs //206 Ma/CS 6a Cla : Flow and Bipari Graph By Adam Shffr Rmindr: Flow Nwork A flow nwork i a digraph G = V, E, oghr wih a ourc vrx V, a ink vrx V, and a capaciy funcion c: E N. Capaciy Sourc 7 a b c d

More information

UNIT I FOURIER SERIES T

UNIT I FOURIER SERIES T UNIT I FOURIER SERIES PROBLEM : Th urig mom T o h crkh o m gi i giv or ri o vu o h crk g dgr 6 9 5 8 T 5 897 785 599 66 Epd T i ri o i. Souio: L T = i + i + i +, Sic h ir d vu o T r rpd gc o T T i T i

More information

Mathematical Preliminaries for Transforms, Subbands, and Wavelets

Mathematical Preliminaries for Transforms, Subbands, and Wavelets Mahmaical Prlimiaris for rasforms, Subbads, ad Wavls C.M. Liu Prcpual Sigal Procssig Lab Collg of Compur Scic Naioal Chiao-ug Uivrsiy hp://www.csi.cu.du.w/~cmliu/courss/comprssio/ Offic: EC538 (03)5731877

More information

(A) 1 (B) 1 + (sin 1) (C) 1 (sin 1) (D) (sin 1) 1 (C) and g be the inverse of f. Then the value of g'(0) is. (C) a. dx (a > 0) is

(A) 1 (B) 1 + (sin 1) (C) 1 (sin 1) (D) (sin 1) 1 (C) and g be the inverse of f. Then the value of g'(0) is. (C) a. dx (a > 0) is [STRAIGHT OBJECTIVE TYPE] l Q. Th vlu of h dfii igrl, cos d is + (si ) (si ) (si ) Q. Th vlu of h dfii igrl si d whr [, ] cos cos Q. Vlu of h dfii igrl ( si Q. L f () = d ( ) cos 7 ( ) )d d g b h ivrs

More information

AR(1) Process. The first-order autoregressive process, AR(1) is. where e t is WN(0, σ 2 )

AR(1) Process. The first-order autoregressive process, AR(1) is. where e t is WN(0, σ 2 ) AR() Procss Th firs-ordr auorgrssiv procss, AR() is whr is WN(0, σ ) Condiional Man and Varianc of AR() Condiional man: Condiional varianc: ) ( ) ( Ω Ω E E ) var( ) ) ( var( ) var( σ Ω Ω Ω Ω E Auocovarianc

More information

Phys463.nb Conductivity. Another equivalent definition of the Fermi velocity is

Phys463.nb Conductivity. Another equivalent definition of the Fermi velocity is 39 Anohr quival dfiniion of h Fri vlociy is pf vf (6.4) If h rgy is a quadraic funcion of k H k L, hs wo dfiniions ar idical. If is NOT a quadraic funcion of k (which could happ as will b discussd in h

More information

(1) Then we could wave our hands over this and it would become:

(1) Then we could wave our hands over this and it would become: MAT* K285 Spring 28 Anthony Bnoit 4/17/28 Wk 12: Laplac Tranform Rading: Kohlr & Johnon, Chaptr 5 to p. 35 HW: 5.1: 3, 7, 1*, 19 5.2: 1, 5*, 13*, 19, 45* 5.3: 1, 11*, 19 * Pla writ-up th problm natly and

More information

Analyticity and Operation Transform on Generalized Fractional Hartley Transform

Analyticity and Operation Transform on Generalized Fractional Hartley Transform I Jourl of Mh Alyi, Vol, 008, o 0, 977-986 Alyiciy d Oprio Trform o Grlizd Frciol rly Trform *P K So d A S Guddh * VPM Collg of Egirig d Tchology, Amrvi-44460 (MS), Idi Gov Vidrbh Iiu of cic d umii, Amrvi-444604

More information

Instructors Solution for Assignment 3 Chapter 3: Time Domain Analysis of LTIC Systems

Instructors Solution for Assignment 3 Chapter 3: Time Domain Analysis of LTIC Systems Inrucor Soluion for Aignmn Chapr : Tim Domain Anali of LTIC Sm Problm i a 8 x x wih x u,, an Zro-inpu rpon of h m: Th characriic quaion of h LTIC m i i 8, which ha roo a ± j Th zro-inpu rpon i givn b zi

More information

A FAMILY OF GOODNESS-OF-FIT TESTS FOR THE CAUCHY DISTRIBUTION RODZINA TESTÓW ZGODNOŚCI Z ROZKŁADEM CAUCHY EGO

A FAMILY OF GOODNESS-OF-FIT TESTS FOR THE CAUCHY DISTRIBUTION RODZINA TESTÓW ZGODNOŚCI Z ROZKŁADEM CAUCHY EGO JAN PUDEŁKO A FAMILY OF GOODNESS-OF-FIT TESTS FO THE CAUCHY DISTIBUTION ODZINA TESTÓW ZGODNOŚCI Z OZKŁADEM CAUCHY EGO Abrac A w family of good-of-fi for h Cauchy diribuio i propod i h papr. Evry mmbr of

More information

EEC 483 Computer Organization

EEC 483 Computer Organization EEC 8 Compuer Orgaizaio Chaper. Overview of Pipeliig Chau Yu Laudry Example Laudry Example A, Bria, Cahy, Dave each have oe load of clohe o wah, dry, ad fold Waher ake 0 miue A B C D Dryer ake 0 miue Folder

More information

What Is the Difference between Gamma and Gaussian Distributions?

What Is the Difference between Gamma and Gaussian Distributions? Applid Mahmaics,,, 85-89 hp://ddoiorg/6/am Publishd Oli Fbruary (hp://wwwscirporg/joural/am) Wha Is h Diffrc bw Gamma ad Gaussia Disribuios? iao-li Hu chool of Elcrical Egirig ad Compur cic, Uivrsiy of

More information

Review Answers for E&CE 700T02

Review Answers for E&CE 700T02 Review Aswers for E&CE 700T0 . Deermie he curre soluio, all possible direcios, ad sepsizes wheher improvig or o for he simple able below: 4 b ma c 0 0 0-4 6 0 - B N B N ^0 0 0 curre sol =, = Ch for - -

More information

MECE 3320 Measurements & Instrumentation. Static and Dynamic Characteristics of Signals

MECE 3320 Measurements & Instrumentation. Static and Dynamic Characteristics of Signals MECE 330 MECE 330 Masurms & Isrumao Sac ad Damc Characrscs of Sgals Dr. Isaac Chouapall Dparm of Mchacal Egrg Uvrs of Txas Pa Amrca MECE 330 Sgal Cocps A sgal s h phscal formao abou a masurd varabl bg

More information

EE415/515 Fundamentals of Semiconductor Devices Fall 2012

EE415/515 Fundamentals of Semiconductor Devices Fall 2012 3 EE4555 Fudmls of Smicoducor vics Fll cur 8: PN ucio iod hr 8 Forwrd & rvrs bis Moriy crrir diffusio Brrir lowrd blcd by iffusio rducd iffusio icrsd mioriy crrir drif rif hcd 3 EE 4555. E. Morris 3 3

More information

INTRODUCTION TO AUTOMATIC CONTROLS INDEX LAPLACE TRANSFORMS

INTRODUCTION TO AUTOMATIC CONTROLS INDEX LAPLACE TRANSFORMS adjoint...6 block diagram...4 clod loop ytm... 5, 0 E()...6 (t)...6 rror tady tat tracking...6 tracking...6...6 gloary... 0 impul function...3 input...5 invr Laplac tranform, INTRODUCTION TO AUTOMATIC

More information

3.4 Repeated Roots; Reduction of Order

3.4 Repeated Roots; Reduction of Order 3.4 Rpd Roos; Rducion of Ordr Rcll our nd ordr linr homognous ODE b c 0 whr, b nd c r consns. Assuming n xponnil soluion lds o chrcrisic quion: r r br c 0 Qudric formul or fcoring ilds wo soluions, r &

More information

8. Queueing systems. Contents. Simple teletraffic model. Pure queueing system

8. Queueing systems. Contents. Simple teletraffic model. Pure queueing system 8. Quug sysms Cos 8. Quug sysms Rfrshr: Sml lraffc modl Quug dscl M/M/ srvr wag lacs Alcao o ack lvl modllg of daa raffc M/M/ srvrs wag lacs lc8. S-38.45 Iroduco o Tlraffc Thory Srg 5 8. Quug sysms 8.

More information

THE ROYAL STATISTICAL SOCIETY 2016 EXAMINATIONS SOLUTIONS GRADUATE DIPLOMA MODULE 1

THE ROYAL STATISTICAL SOCIETY 2016 EXAMINATIONS SOLUTIONS GRADUATE DIPLOMA MODULE 1 TH ROAL TATITICAL OCIT 6 AINATION OLTION GRADAT DILOA ODL T oci i providig olio o ai cadida prparig or aiaio i 7. T olio ar idd a larig aid ad old o b a "odl awr". r o olio old alwa b awar a i a ca r ar

More information

Boyce/DiPrima 9 th ed, Ch 7.9: Nonhomogeneous Linear Systems

Boyce/DiPrima 9 th ed, Ch 7.9: Nonhomogeneous Linear Systems BoDiPrima 9 h d Ch 7.9: Nohomogou Liar Sm Elmar Diffrial Equaio ad Boudar Valu Prolm 9 h diio William E. Bo ad Rihard C. DiPrima 9 Joh Wil & So I. Th gral hor of a ohomogou m of quaio g g aralll ha of

More information

Software Development Cost Model based on NHPP Gompertz Distribution

Software Development Cost Model based on NHPP Gompertz Distribution Idia Joural of Scic ad Tchology, Vol 8(12), DOI: 10.17485/ijs/2015/v8i12/68332, Ju 2015 ISSN (Pri) : 0974-6846 ISSN (Oli) : 0974-5645 Sofwar Dvlopm Cos Modl basd o NHPP Gomprz Disribuio H-Chul Kim 1* ad

More information

UNIT #5 EXPONENTIAL AND LOGARITHMIC FUNCTIONS

UNIT #5 EXPONENTIAL AND LOGARITHMIC FUNCTIONS Answr Ky Nam: Da: UNIT # EXPONENTIAL AND LOGARITHMIC FUNCTIONS Par I Qusions. Th prssion is quivaln o () () 6 6 6. Th ponnial funcion y 6 could rwrin as y () y y 6 () y y (). Th prssion a is quivaln o

More information

Consider a system of 2 simultaneous first order linear equations

Consider a system of 2 simultaneous first order linear equations Soluon of sysms of frs ordr lnar quaons onsdr a sysm of smulanous frs ordr lnar quaons a b c d I has h alrna mar-vcor rprsnaon a b c d Or, n shorhand A, f A s alrady known from con W know ha h abov sysm

More information

Gauge Theories. Elementary Particle Physics Strong Interaction Fenomenology. Diego Bettoni Academic year

Gauge Theories. Elementary Particle Physics Strong Interaction Fenomenology. Diego Bettoni Academic year Gau Thors Elmary Parcl Physcs Sro Iraco Fomoloy o Bo cadmc yar - Gau Ivarac Gau Ivarac Whr do Laraas or Hamloas com from? How do w kow ha a cra raco should dscrb a acual hyscal sysm? Why s h lcromac raco

More information

MEM 355 Performance Enhancement of Dynamical Systems A First Control Problem - Cruise Control

MEM 355 Performance Enhancement of Dynamical Systems A First Control Problem - Cruise Control MEM 355 Prformanc Enhancmn of Dynamical Sysms A Firs Conrol Problm - Cruis Conrol Harry G. Kwany Darmn of Mchanical Enginring & Mchanics Drxl Univrsiy Cruis Conrol ( ) mv = F mg sinθ cv v +.2v= u 9.8θ

More information

ESE-2018 PRELIMS TEST SERIES Date: 12 th November, 2017 ANSWERS. 61. (d) 121. (c) 2. (a) 62. (a) 122. (b) 3. (b) 63. (a) 123. (c) 4. (b) 64.

ESE-2018 PRELIMS TEST SERIES Date: 12 th November, 2017 ANSWERS. 61. (d) 121. (c) 2. (a) 62. (a) 122. (b) 3. (b) 63. (a) 123. (c) 4. (b) 64. ESE-8 PRELIMS TEST SERIES Da: h Novmbr, 7 ANSWERS. (d). (a) 6. (d) 9. (d). (c). (a). (c) 6. (a) 9. (d). (b). (b). (a) 6. (a) 9. (a). (c). (b). (b) 6. (a) 9. (b). (a) 5. (d) 5. (c) 65. (b) 95. (a) 5. (c)

More information

On the Speed of Heat Wave. Mihály Makai

On the Speed of Heat Wave. Mihály Makai On h Spd of Ha Wa Mihály Maai maai@ra.bm.hu Conns Formulaion of h problm: infini spd? Local hrmal qulibrium (LTE hypohsis Balanc quaion Phnomnological balanc Spd of ha wa Applicaion in plasma ranspor 1.

More information

S.Y. B.Sc. (IT) : Sem. III. Applied Mathematics. Q.1 Attempt the following (any THREE) [15]

S.Y. B.Sc. (IT) : Sem. III. Applied Mathematics. Q.1 Attempt the following (any THREE) [15] S.Y. B.Sc. (IT) : Sm. III Applid Mahmaics Tim : ½ Hrs.] Prlim Qusion Papr Soluion [Marks : 75 Q. Amp h following (an THREE) 3 6 Q.(a) Rduc h mari o normal form and find is rank whr A 3 3 5 3 3 3 6 Ans.:

More information

Ordinary Differential Equations

Ordinary Differential Equations Basi Nomlatur MAE 0 all 005 Egirig Aalsis Ltur Nots o: Ordiar Diffrtial Equatios Author: Profssor Albrt Y. Tog Tpist: Sakurako Takahashi Cosidr a gral O. D. E. with t as th idpdt variabl, ad th dpdt variabl.

More information

H OBSERVER DESIGN FOR A CLASS OF TIME-DELAY NONLINEAR SYSTEMS WITH EXTERNAL DISTURBANCE

H OBSERVER DESIGN FOR A CLASS OF TIME-DELAY NONLINEAR SYSTEMS WITH EXTERNAL DISTURBANCE H OSEE DESGN FO CSS OF ME-DEY NONNE SYSEMS H EXEN DSUNCE H, a G a 3 School o ormaio Scic & Eiri, Norhar Uivriy, Shya, iaoi, 89, Chia School o uomaio a Elcroic ormaio, Sichua Uivriy o Scic & Eiri, Zio,

More information

Section 8 Convolution and Deconvolution

Section 8 Convolution and Deconvolution APPLICATIONS IN SIGNAL PROCESSING Secio 8 Covoluio ad Decovoluio This docume illusraes several echiques for carryig ou covoluio ad decovoluio i Mahcad. There are several operaors available for hese fucios:

More information

Two Implicit Runge-Kutta Methods for Stochastic Differential Equation

Two Implicit Runge-Kutta Methods for Stochastic Differential Equation Alied Mahemaic, 0, 3, 03-08 h://dx.doi.org/0.436/am.0.306 Publihed Olie Ocober 0 (h://www.scirp.org/oural/am) wo mlici Ruge-Kua Mehod for Sochaic Differeial quaio Fuwe Lu, Zhiyog Wag * Dearme of Mahemaic,

More information

Log-periodogram regression with odd Fourier frequencies

Log-periodogram regression with odd Fourier frequencies Log-priodogram rgrssio wih odd Fourir frqucis Erhard Rschhofr Dparm of Saisics ad Opraios Rsarch, Uivrsiy of Via, Ausria Uivrsiässr. 5, Via, Ausria E-mail: rhard.rschhofr@uivi.ac.a Absrac I his papr, a

More information

2 Dirac delta function, modeling of impulse processes. 3 Sine integral function. Exponential integral function

2 Dirac delta function, modeling of impulse processes. 3 Sine integral function. Exponential integral function Chapr VII Spcial Fucios Ocobr 7, 7 479 CHAPTER VII SPECIAL FUNCTIONS Cos: Havisid sp fucio, filr fucio Dirac dla fucio, modlig of impuls procsss 3 Si igral fucio 4 Error fucio 5 Gamma fucio E Epoial igral

More information

1 Finite Automata and Regular Expressions

1 Finite Automata and Regular Expressions 1 Fini Auom nd Rgulr Exprion Moivion: Givn prn (rgulr xprion) for ring rching, w migh wn o convr i ino drminiic fini uomon or nondrminiic fini uomon o mk ring rching mor fficin; drminiic uomon only h o

More information

Chapter 12 Introduction To The Laplace Transform

Chapter 12 Introduction To The Laplace Transform Chapr Inroducion To Th aplac Tranorm Diniion o h aplac Tranorm - Th Sp & Impul uncion aplac Tranorm o pciic uncion 5 Opraional Tranorm Applying h aplac Tranorm 7 Invr Tranorm o Raional uncion 8 Pol and

More information

Department of Electronics & Telecommunication Engineering C.V.Raman College of Engineering

Department of Electronics & Telecommunication Engineering C.V.Raman College of Engineering Lcur No Lcur-6-9 Ar rdig his lsso, you will lr ou Fourir sris xpsio rigoomric d xpoil Propris o Fourir Sris Rspos o lir sysm Normlizd powr i Fourir xpsio Powr spcrl dsiy Ec o rsr ucio o PSD. FOURIER SERIES

More information

Math 2414 Homework Set 7 Solutions 10 Points

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

More information

ON H-TRICHOTOMY IN BANACH SPACES

ON H-TRICHOTOMY IN BANACH SPACES CODRUTA STOICA IHAIL EGA O H-TRICHOTOY I BAACH SPACES Absrac: I his papr w mphasiz h oio of skw-oluio smiflows cosidrd a gralizaio of smigroups oluio opraors ad skw-produc smiflows which aris i h sabiliy

More information

Nonlinear PID-based analog neural network control for a two link rigid robot manipulator and determining the maximum load carrying capacity

Nonlinear PID-based analog neural network control for a two link rigid robot manipulator and determining the maximum load carrying capacity Noliar PID-basd aalog ural work corol for a wo lik rigid robo maipulaor ad drmiig h maximum load carryig capaciy Hadi Razmi Aabak Mashhadi Kashiba Absrac A adapiv corollr of oliar PID-basd aalog ural works

More information

Chapter 5 The Laplace Transform. x(t) input y(t) output Dynamic System

Chapter 5 The Laplace Transform. x(t) input y(t) output Dynamic System EE 422G No: Chapr 5 Inrucor: Chung Chapr 5 Th Laplac Tranform 5- Inroducion () Sym analyi inpu oupu Dynamic Sym Linar Dynamic ym: A procor which proc h inpu ignal o produc h oupu dy ( n) ( n dy ( n) +

More information

Lecture 1: Photoconductors and p-i-n Photodiodes

Lecture 1: Photoconductors and p-i-n Photodiodes Lcur 1: Poocoucors a p-i- Pooios Isrucor: Mig C. Wu Uivrsiy of Califoria, Brkly Elcrical Egirig a Compur Scics Dp. 1 Prof. Mig Wu Poocors Covrs lig o lcric sigals Mai yps of poocors Poocoucors P-i- pooios

More information

Introduction to Laplace Transforms October 25, 2017

Introduction to Laplace Transforms October 25, 2017 Iroduco o Lplc Trform Ocobr 5, 7 Iroduco o Lplc Trform Lrr ro Mchcl Egrg 5 Smr Egrg l Ocobr 5, 7 Oul Rvw l cl Wh Lplc rform fo of Lplc rform Gg rform b gro Fdg rform d vr rform from bl d horm pplco o dffrl

More information

The Eigen Function of Linear Systems

The Eigen Function of Linear Systems 1/25/211 The Eige Fucio of Liear Sysems.doc 1/7 The Eige Fucio of Liear Sysems Recall ha ha we ca express (expad) a ime-limied sigal wih a weighed summaio of basis fucios: v ( ) a ψ ( ) = where v ( ) =

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

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

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

More information

where: u: input y: output x: state vector A, B, C, D are const matrices

where: u: input y: output x: state vector A, B, C, D are const matrices Sa pac modl: linar: y or in om : Sa q : f, u Oupu q : y h, u u Du F Gu y H Ju whr: u: inpu y: oupu : a vcor,,, D ar con maric Eampl " $ & ' " $ & 'u y " & * * * * [ ],, D H D I " $ " & $ ' " & $ ' " &

More information