Impact of Polarization Mode Dispersion on CPFSK Transmission Systems Using MZI Based Direct Detection Receiver

Size: px
Start display at page:

Download "Impact of Polarization Mode Dispersion on CPFSK Transmission Systems Using MZI Based Direct Detection Receiver"

Transcription

1 Impa of Polarzaon Mode Dsperson on CPFSK ransmsson Sysems Usng MZI Based Dre Deeon Reever M. S. Islam, Member, I, and S. P. Majumder, Member, I Absra An analyal approah s presened o deermne he mpa of sgnal phase dsoron due o polarzaon mode dsperson (PMD) n a sngle mode fber (SMF) on he b error rae (BR) performane of an opal onnuous phase FSK (CPFSK) ransmsson sysem wh MZI based dre deeon reever. he probably densy funon (pdf) of he random phase fluuaon due o PMD and group veloy dsperson (GVD) a he oupu of he reever s deermned analyally. Based on he pdf of he random phase fluuaon he BR performane resuls are evaluaed a a b rae of 0 Gb/s fber wh dsperson o-effen D = 5 ps/m-nm for dfferen values of he mean dfferenal group delay (DGD). he ompued resuls show ha he dre deeon CPFSK sysem suffers a sgnfan amoun of power penaly due he effe of PMD a a b rae of 0 Gb/s. A a modulaon ndex of 0.5, he penaly a a BR of 0-9 s found o be 0.5 db,.0 db,.0 db and 3.50 db when he mean dfferenal group delay (DGD) s 0 ps, 30 ps, 40 ps and 50 ps respevely a modulaon ndex of 0.5 for a fber lengh of 00 m. A modulaon ndex of.0, he penaly s approxmaely 4.0 db for a mean DGD of 40 ps. he penaly s more sgnfan a hgher modulaon ndex and b rae. Index erms- B-error rae, polarzaon mode dsperson, probably densy funon, dfferenal group delay. o I. INRODUCION PICAL onnuous-phase FSK (CPFSK) s an arave modulaon forma as allows generaon of ompa spera ha allows for reever envelop deeon by properly seleng he modulaon ndex []. However, he effe of PMD onsues one of he man lmng faors for relable opal fber sysem performane a ggabs ransmsson raes. As he wo polarzaon felds move a dfferen group M. S. Islam s wh he Insue of Informaon and Communaon ehnology (IIC) of Bangladesh Unversy of ngneerng and ehnology (BU), Dhaa-000, Bangladesh (Phone: (PABX); fax: , e-mal: mdsafulslam@.bue.a.bd). S. P. Majumder s wh he leral and leron ngneerng Deparmen of Bangladesh Unversy of ngneerng and ehnology (BU), Dhaa-000, Bangladesh (Phone: (PABX); e-mal: spmajumder@eee.bue.a.bd) /06/$ I veloes wh a dfferenal group delay (DGD), here s a fluuaon n sgnal phase beween he wo prnpal saes of polarzaon whh auses a random phase fluuaon of he sgnal self resulng n speral broadenng of he ransmed sgnal ha leads o b paern orrupon and hgher bandwdh requremen, and evenually onrbues o BR deeroraon, performane varaon or sysem fadng even a moderae b rae []-[5]. he effe of PMD has been he subje of onsderable researh neress durng he pas few years and he developed deas are brefly desrbed n a seres of publaon [6]-[]. he effe for PMD on he error probably s heoreally assessed a a b rae of.5 Gb/s for an IM-DD sysem and he BR n a IM/DD has been shown o srongly depend on he sae of polarzaon and DGD [6]. Some sudes reaed PMD as deermns erm n numeral soluon or are based on smple analyal approah of deermnng he ondonal b error probably [7]. he smulaon resuls on he effes of PMD on an amplfed IM-DD sysem s repored n Ref. [8] as a funon of he DGD. he effe of PMD on he b error rae performane of heerodyne FSK sysem s also repored [3]. Reenly, he performane of opal DPSK sysem wh dre deeon reever s repored n presene of PMD [4]. Several aemps have been repored o ompensae he effe of PMD n eleron as well as n opal doman [5]-[7]. Alhough here are many approahes repored o mnmze he effe of PMD, here s no analyal developmen o evaluae he mpa of PMD on he BR performane of an opal ransmsson sysem. In hs paper, we provde an analyal approah o evaluae he BR performane lmaons of an opal dre deeon CPFSK sysem mpared by PMD. he mehod s based on he lnear approxmaon of he oupu phase of a lnearly flered angle-modulaed sgnal suh as he CPFSK sgnal. he expresson for he overall degradaon n sgnal phase s derved followng an analyal approah by usng an equvalen ransfer funon of a sngle fber whh nludes he effes of PMD n presene of group veloy dsperson (GVD). he ondonal BR s hen deermned usng he pdf s of he random phase fluuaon due o PMD and GVD a he reever oupu n he presene of reever nose for

2 dfferen values of mean DGD. Power penaly suffered by he sysem due o PMD s evaluaed a a b rae of 0 Gb/s. II. SYSM MODL he blo dagram of an opal CPFSK ransmsson sysem wh dre deeon model s shown n Fg.. Fg. shows he low pass equvalen CPFSK sysem model onsderng PMD and hroma dsperson. he sgnal omponens n he wo oupu PSPs propagae ndependenly hrough he enre sysem from he modulaor o he balaned reever. In he ransmer, non-reurn o zero (NRZ) daa a 0 Gb/s s used o drely modulae a laser o generae he CPFSK sgnal ha s ransmed hrough a sngle mode fber. A he reevng end, MZI based dre deeon reever dees he reeved opal sgnal. he felds orrespondng o he wo PSPs are separaely deeed and he resulng phoourrens are summed. We deompose he enre sysem no a par of subsysems, eah orrespondng o one PSP. We sum he oupus of he wo subsysems o oban sampled deson varables m = m + m. he oupu phoourren s flered by a low pass fler and fed o a sampler followed by a omparaor. he hreshold volage of he omparaor s se o zero value. If he oupu volage s greaer han zero a bnary s deeed, oherwse a bnary 0 s deeed. ransmer Fber Reever Inpu sgnal Drver ru MZI Σ LPF Sampler Comp araor Oupu Fg.. Blo dagram of an opal CPFSK ransmsson sysem wh MZI based dre deeon reever Daa n H pmd (f) H (f) H d (f) Σ I (f). II (f). Σ m () MZI and PD par m () Σ m () LPF Sampler Comp araor Oupu I (f). H pmd (f) H d (f) II (f). Σ H (f) MZI and PD par Fber (SMF) MZI and PD (reever seon) Fg.. Low pass equvalen dre deeon CPFSK sysem model onsderng PMD and hroma dsperson

3 III. HORICAL ANALYSIS he omplex eler feld a he oupu of he CPFSK ransmer and npu o he fber s represened as: = P exp[ { ( )}][. ] j f + φ s e () = P exp[ j{ f + φs }][ ] () where f s he arrer frequeny, P s he ransmed opal power and he CPFSK modulang phase φ s () s gven by φ s = f a p( ) d n = + φ (3) where a s he random NRZ b, f s he pea frequeny devaon, p () s he elemenary pulse shape and φ n ( ) s he phase nose of he ransmng laser. Here, represen un veors and e, e represen he wo prnpal saes of polarzaon respevely. he eler feld a he oupu of he fber s hen gven by: 0 = P exp[ j{ f + φ s( )}][ ] (4) 0 = P exp[ j{ f + φ s( )}][ ] (5) where h ( ) and h are he nverse Fourer ransform of he fber ransfer funon H ( f ) and H ( f ) respevely whh nlude he effe of polarzaon mode dsperson and group veloy dsperson (GVD) and denoes onvoluon. he low pass equvalen expresson for H ( f ) and H ( f ) are gven by [4], H ( ) exp[ ( ) ( ) f = α j f jγ f ] (6) H ( ) exp[ ( ) ( ) f = α j f jγ f ] (7) where τ represens he dfferenal group delay (DGD) beween he wo prnpal saes of polarzaon (PSP), α s he PMD power-splng raon and γ s he hroma dsperson ndex. Here we assume ha here s neglgble polarzaon-dependen loss and we use he prnpal saes model o haraerze frs-order PMD. Assumng lnear phase approxmaon he oupu eler felds for he wo polarzaon saes an be wren as 0 = P s exp[ j{ f + φ s + θ n }][ ] (8) 0 = P s exp[{ j f + φ s + θ n }][ ] (9) where, φ s = Re[ φs ] = f a p d Re[ ( ) ( )] (0) φ s = Re[ φs ] = f a p d Re[ ( ) ( )] () In he FSK dre deeon reever wh Mah-Zehnder nerferomeer (MZI), he MZI a as an opal dsrmnaor and dfferenally dee he mar and spae of he reeved FSK sgnal, whh are hen drely fed o a par of phoo-deeors. he ransmanes of he wo branhes of he MZI are I (f) and II (f), and τ s he me delay beween he wo branhes. For a mar ransmsson, he urren a he oupu of he phoo-deeors an be expressed as: m P s os[f τ + φ s τ) + θ n τ)][ ] () m P s os[f τ + φ s τ) + θ n τ)][ ] (3) where φ s (, τ ) = φ s ( ) φ s ( τ ) (4) = f a g ( ) d φ s (, τ ) = φ s = f τ ( ) φ s τ a g ( τ ) ( ) d (5) For a mar ransmsson and deal CPFSK demodulaon ondon (assumng NRZ daa), we have f τ = (n + ), where n s an neger; and f τ =. hus, he urrens a he oupu of phoodeeor an be expressed as, m P s os[ f τ + + q + a q ( ) )][ ] 0 + θ n τ (6) m P s os[ f τ + + q + a ) (, )][ q ( + θn τ 0 ] (7) where, q = g d τ τ (7a) g( ) = Re[ p( ) LP ] (7b) and q = g ) d τ τ (7) g = Re[ p( ) h LP ] (7d) where h () represens he mpulse response of he LP eleral low pass fler, whh s assumed o be ffh-order Bessel funon ype. he ransfer funon of he low pass fler s gven by, 945 H LP ( f ) = (8) jf + 5F 05jF 40F + 945jF + 945

4 where F =.43 f / Be and B e s he 3-dB uoff frequeny. he oupu phase dsoron due o PMD and GVD s gven by, φ (, τ, ) = + q + a q ( ) 0 = ϕ s (, τ ) + ξ τ ) (9) φ τ. ) = + q + a q ( ) 0 = ϕ s τ ) + ξ τ ) (0) where ϕ s τ ) and ϕ s τ ) are mean oupu phase error; ξ (, τ ) and ξ (, τ ) are he random oupu phase fluuaon due o ISI b paern aused by PMD and GVD. he oal sgnal urren a he oupu of LPF orrespondng o a mar s gven by, m = R d P s x + R d P s x () where, x ( ) and x ( ) desrbe he phase nose ndued by he nerferomeer nensy due o random phase fluuaon and an be expressed as, x = os[ ϕ ] () x = os[ ϕ ] (3) where ϕ ( ) = φ (, τ, ) + ϕ n ( ) (3a) ϕ ( ) = φ (, τ, ) + ϕ n ( ) (3b) he low-pass fler oupu for mar ransmsson, a a samplng me s, m P s [os( δϕ ) os( ϕ)] + n( ) (4) φ,, ) where δϕ = (, τ, ) φ ( τ (4a) φ,, ) and (, τ, ) + φ ( τ ϕ = (4b) If we onsder he mean phase dsoron only hen he ondonal b error rae an be expressed as, P( e δϕ, ϕ) Q = erf (5) R d P s [os( δϕ ) os( ϕ) ] where, Q = (6) σ m he onrbuon of he erm (random phase fluuaon) ξ(, τ ) of (9) and ξ τ ) of (0) an be evaluaed by fndng he probably densy funon (pdf). Assumng { a } are ndependen and denally dsrbued (IID) random varables, he haraers funon of ξand ξ s gven by, ( j ( j q ) ) os[ )] M ( ξ Φ φ ξ = ξ = (7) = = ( )! j ( j ( q ) ) ξ Φ φ ξ = os[ ξ ( )] = M ()! (8) = = where, q = q ( ), q = q ( ), M and M are he even order momens of he haraers funon of random varableξ and ξ respevely. By usng he above wo equaons he pdf P δϕ (δϕ) of δϕ and he pdf P ϕ ( ϕ) of ϕ an be evaluaed followng Ref. [3]. For a gven value of mean dfferenal group delay (DGD) < >, he ondonal BR an be expressed as: BR ( < > ) = P( e δϕ, ϕ ) Pδϕ ( δϕ ) (9) P ϕ ( ϕ ) d ( δϕ ) d ( ϕ ) he average error probably an be evaluaed as BR = BR( < > ) P ( ) ( ) τ d τ (30) where, P ( τ ) s he pdf of τ whh has Maxwellan dsrbuon wh τ m as quadra mean of τ [8]. IV. RSULS AND DISCUSSION Followng he analyal approah, he b error rae performane resuls for dre deeon CPFSK reever wh pos deeon low pass fler are evaluaed a a b rae of 0 Gb/s wh several values of mean DGD and fber lenghs. Fg. 3. Condonal BR versus reeved power, Ps for dre deeon CPFSK sysem mpared by PMD (modulaon ndex, h=0.50)

5 he plos of ondonal BR versus reeved opal power Ps are shown n Fg. 3 for mean DGD of 0 ps, 0 ps, 30 ps, 40 ps, 50ps and 60 ps wh fber lengh of 00 m and modulaon ndex of 0.50 and plos for modulaon ndex.0 are shown n Fg.4. he resuls show ha he BR s hghly degraded when he mean DGD s hgher for a gven fber lengh and he sysem suffers a sgnfan amoun power penaly a BR = 0-9 whh s found o nrease wh nreasng value of he mean DGD. he amoun of power penaly s found o be approxmaely 0.50 db,.0 db,.0 db and 3.50 db for mean DGD of 0 ps, 30 ps, 40 ps and 50 ps respevely when he modulaon ndex s I s furher observed ha he penaly s muh hgher a hgher modulaon ndex suh as h= ompared o h=0.50.e., he penaly s approxmaely 4.0 db when mean DGD s 40 ps and h=.0. I s furher noed ha penaly suffered by dre deeon CPFSK s lower han ha of NRZ-OOK sysem. Bu a hgher modulaon ndex penaly suffered by CPFSK wh 0.50 s hgher han ha of OOK and DPSK sysem. For example, he penaly s.35 db and.40 db orrespondng o DGD/b duraon rao ( τ ) are 0.0 and 0.30 respevely for dre deeon CPFSK sysem a modulaon ndex.0. he orrespondng penaly values are 0.50 db,.35 db and 0.30 db, 0.80 db for NRZ-OOK and NRZ-DPSK respevely. V. CONCLUSION Fg. 4. Condonal BR versus reeved power, Ps for dre deeon CPFSK sysem mpared by PMD (modulaon ndex, h=.0) he penaly due o PMD suffered by he dre deeon CPFSK sysem wh pos deeon low pass fler a BR 0-9 s ploed n Fg. 5 as a funon of DGD normalzed by b rae. he plos of penaly due o oher modulaon sheme as repored n [4] are also shown for omparson. Fg. 5. PMD-ndued power penaly as a funon of DGD/ b duraon rao ( < > / ) for NRZ- and RZ-OOK, NRZ-DPSK and NRZ-CPFSK sysem. An analyal approah s presened o evaluae he mpa of PMD on he b error rae performane of dre deeon CPFSK sysem. he resuls show ha he penaly due o PMD suffered by he CPFSK sysem s sgnfan a hgher modulaon ndex and hgher value of he DGD beween wo-polarzaon modes. A dre-deeon CPFSK sysem wh modulaon ndex of 0.50 suffers almos same amoun of power penaly as dre deeon NRZ-OOK sysem VI. RFRNCS [] K. Iwasha and. Masumoo, Modulaon and deeon haraerss of opal onnuous-phase FSK ransmsson sysem, Journal of Lghwave ehnology, vol. L-5, Aprl 987, pp [] N. S. Bergano, C. D. Poole, and R.. Wagner, Invesgaon of polarzaon dsperson n long lenghs of sngle-mode fber usng mullongudnal mode lasers, Journal of Lghwave ehnology, vol. L-5, pp. 68-6, Nov [3] R.. Wagner and A.F. lrefae, Polarzaon dsperson lmaons n lghwave sysems, eh. Dg. Opal Fber Communaon Conferene OFC 88, p37, New Orleans, LA, 988. [4] A. F. lrefae and R.. Wagner, Chroma dsperson lmaons for FSK and DPSK sysems wh dre deeon reevers, I Phoons ehnology Leers, vol. 8, no., January 99. [5] C. D. Poole, R.W. ah, A.R. Chraplyvy and D.A. Fshman, Fadng n lghwave sysem due o polarzaon mode dsperson, I phoon. eh. Le., vol.3, pp , 99. [6]. Iannone, F. Maera, A. Galarossa, G. Ganello and M. Shano, ffe of polarzaon dsperson on he performane of IM-DD ommunaon sysem, I phoons eh. Le., vol. 5, no. 0, O. 993, pp [7] F. Bruyere and O. Audoun, Assessmen of sysem penales n a 5 Gb/s opally amplfed ransoean ln, I Phoons eh. Le., vol. 6, no. 3, Marh 994, pp [8] C. D. Angels, A. Galarossa, C. Campanle and F. Maera, Performane evaluaon of ASK and DPSK opal oheren sysems affeed by hroma dsperson and polarzaon mode dsperson, Journal of opal ommunaons, vol.6, no. 5, 995, pp [9] H. Bulow, Operaon of dgal opal ransmsson sysem wh mnmal degradaon due o polarzaon mode dsperson. lerons Leers, vol. 3, no.3, pp. 4-5, 995. [0] B.W. Ha, Polarzaon mode dsperson n a sngle mode fber, Journal of Lghwave ehnology, vol. 4, no. 0, pp. 0-08, 996

6 [] F. Bruyere, Impa of frs and seond order PMD n opal dgal ransmsson sysems, Opal Fber ehnology, vol., no. 3, pp , July 996. [] M. Karlsson, Polarzaon mode dsperson-ndued pulse broadenng n opal fbers, Ops Leers, vol. 3, no. 9, pp , May 998. [3] S. P. Majumder, M. Z. Yusoff, A. F. Muhammad and H.. Chuah, ffe of polarzaon mode dsperson on opal heerodyne CPFSK sysem, Conferene proeedngs, eleommunaon global onferene 000, GLOBCOM 00, vol., pp , 000. [4] Jn Wang, Joseph M. Kahn, Impa of hroma and polarzaon mode dsperson on DPSK sysem usng nerferomer demodulaon and dre deeon, Journal of Lghwave ehnology, vol., no., pp , February 004. [5] Buhal, H. Bülow, Adapve PMD Compensaon by leral and Opal ehnques, Journal of Lghwave ehnology, vol., no. 4, pp. 6-6, 004 [6] C. Anonell, A. Meozz, Pulse broadenng due o polarzaon mode dsperson wh frs-order ompensaon, Ops Leers, vol. 30. no. 3, pp , 005. [7] H. Yoon, N.Y. Km, N. Par, Sudy on he PMD Imparmen of Opal Mullevel DPSK Sysems and s Mgaon Mehods I Phoon. eh. Le., Vol. 7, no., pp , 005 M. S. Islam reeved he B. S. degree n leral and leron ngneerng from he Bangladesh Unversy of ngneerng and ehnology (BU), Bangladesh n 989 and M. S. n Compuer Sene and ngneerng from Shangha Unversy, Chna, n 997. He s urrenly pursung he Ph. D. degree n he Deparmen of leral and leron ngneerng a BU, Bangladesh. Hs man researh neres s he performane evaluaon of long-haul fber-op ommunaon sysem. S. P. Majumder reeved he B.S. and M.S. degrees n leral and leron ngneerng from Bangladesh Unversy of ngneerng and ehnology (BU), Dhaa, Bangladesh, n 98 and 984 respevely. He dd Ph.D. degree n leral ngneerng from he Indan Insue of ehnology (II), Kharagpur, Inda, n 993. Presenly, he s a Professor and Head of leral and leron ngneerng Deparmen a BU. Hs researh neress nlude opal ommunaon sysems, sgnal proessng, saelle ommunaon and dgal sysems.

Electromagnetic waves in vacuum.

Electromagnetic waves in vacuum. leromagne waves n vauum. The dsovery of dsplaemen urrens enals a peular lass of soluons of Maxwell equaons: ravellng waves of eler and magne felds n vauum. In he absene of urrens and harges, he equaons

More information

V.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS

V.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS R&RATA # Vol.) 8, March FURTHER AALYSIS OF COFIDECE ITERVALS FOR LARGE CLIET/SERVER COMPUTER ETWORKS Vyacheslav Abramov School of Mahemacal Scences, Monash Unversy, Buldng 8, Level 4, Clayon Campus, Wellngon

More information

Pendulum Dynamics. = Ft tangential direction (2) radial direction (1)

Pendulum Dynamics. = Ft tangential direction (2) radial direction (1) Pendulum Dynams Consder a smple pendulum wh a massless arm of lengh L and a pon mass, m, a he end of he arm. Assumng ha he fron n he sysem s proporonal o he negave of he angenal veloy, Newon s seond law

More information

Bandlimited channel. Intersymbol interference (ISI) This non-ideal communication channel is also called dispersive channel

Bandlimited channel. Intersymbol interference (ISI) This non-ideal communication channel is also called dispersive channel Inersymol nererence ISI ISI s a sgnal-dependen orm o nererence ha arses ecause o devaons n he requency response o a channel rom he deal channel. Example: Bandlmed channel Tme Doman Bandlmed channel Frequency

More information

Lecture 2 M/G/1 queues. M/G/1-queue

Lecture 2 M/G/1 queues. M/G/1-queue Lecure M/G/ queues M/G/-queue Posson arrval process Arbrary servce me dsrbuon Sngle server To deermne he sae of he sysem a me, we mus now The number of cusomers n he sysems N() Tme ha he cusomer currenly

More information

Lecture Notes 4: Consumption 1

Lecture Notes 4: Consumption 1 Leure Noes 4: Consumpon Zhwe Xu (xuzhwe@sju.edu.n) hs noe dsusses households onsumpon hoe. In he nex leure, we wll dsuss rm s nvesmen deson. I s safe o say ha any propagaon mehansm of maroeonom model s

More information

Regularization and Stabilization of the Rectangle Descriptor Decentralized Control Systems by Dynamic Compensator

Regularization and Stabilization of the Rectangle Descriptor Decentralized Control Systems by Dynamic Compensator www.sene.org/mas Modern Appled ene Vol. 5, o. 2; Aprl 2 Regularzaon and ablzaon of he Reangle Desrpor Deenralzed Conrol ysems by Dynam Compensaor Xume Tan Deparmen of Eleromehanal Engneerng, Heze Unversy

More information

COMPUTER SCIENCE 349A SAMPLE EXAM QUESTIONS WITH SOLUTIONS PARTS 1, 2

COMPUTER SCIENCE 349A SAMPLE EXAM QUESTIONS WITH SOLUTIONS PARTS 1, 2 COMPUTE SCIENCE 49A SAMPLE EXAM QUESTIONS WITH SOLUTIONS PATS, PAT.. a Dene he erm ll-ondoned problem. b Gve an eample o a polynomal ha has ll-ondoned zeros.. Consder evaluaon o anh, where e e anh. e e

More information

Chapter 6 DETECTION AND ESTIMATION: Model of digital communication system. Fundamental issues in digital communications are

Chapter 6 DETECTION AND ESTIMATION: Model of digital communication system. Fundamental issues in digital communications are Chaper 6 DEECIO AD EIMAIO: Fundamenal ssues n dgal communcaons are. Deecon and. Esmaon Deecon heory: I deals wh he desgn and evaluaon of decson makng processor ha observes he receved sgnal and guesses

More information

Computational results on new staff scheduling benchmark instances

Computational results on new staff scheduling benchmark instances TECHNICAL REPORT Compuaonal resuls on new saff shedulng enhmark nsanes Tm Curos Rong Qu ASAP Researh Group Shool of Compuer Sene Unersy of Nongham NG8 1BB Nongham UK Frs pulshed onlne: 19-Sep-2014 las

More information

ECON 8105 FALL 2017 ANSWERS TO MIDTERM EXAMINATION

ECON 8105 FALL 2017 ANSWERS TO MIDTERM EXAMINATION MACROECONOMIC THEORY T. J. KEHOE ECON 85 FALL 7 ANSWERS TO MIDTERM EXAMINATION. (a) Wh an Arrow-Debreu markes sruure fuures markes for goods are open n perod. Consumers rade fuures onras among hemselves.

More information

Optimal Adaptive Data Transmission over a Fading Channel with Deadline and Power Constraints

Optimal Adaptive Data Transmission over a Fading Channel with Deadline and Power Constraints Opmal Adapve Daa Transmsson over a Fadng Channel wh Deadlne and Power Consrans Muraza Zafer and yan Modano aboraory for Informaon and Deson Sysems Massahuses Insue of Tehnology Cambrdge, MA 239, USA emal:{muraza,modano}@m.edu

More information

B Signals and Systems I Solutions to Midterm Test 2. xt ()

B Signals and Systems I Solutions to Midterm Test 2. xt () 34-33B Signals and Sysems I Soluions o Miderm es 34-33B Signals and Sysems I Soluions o Miderm es ednesday Marh 7, 7:PM-9:PM Examiner: Prof. Benoi Boule Deparmen of Elerial and Compuer Engineering MGill

More information

Optimal Replenishment Policy for Hi-tech Industry with Component Cost and Selling Price Reduction

Optimal Replenishment Policy for Hi-tech Industry with Component Cost and Selling Price Reduction Opmal Replenshmen Poly for H-eh Indusry wh Componen Cos and Sellng Pre Reduon P.C. Yang 1, H.M. Wee, J.Y. Shau, and Y.F. seng 1 1 Indusral Engneerng & Managemen Deparmen, S. John s Unversy, amsu, ape 5135

More information

2/20/2013. EE 101 Midterm 2 Review

2/20/2013. EE 101 Midterm 2 Review //3 EE Mderm eew //3 Volage-mplfer Model The npu ressance s he equalen ressance see when lookng no he npu ermnals of he amplfer. o s he oupu ressance. I causes he oupu olage o decrease as he load ressance

More information

Problem Set 3 EC2450A. Fall ) Write the maximization problem of the individual under this tax system and derive the first-order conditions.

Problem Set 3 EC2450A. Fall ) Write the maximization problem of the individual under this tax system and derive the first-order conditions. Problem Se 3 EC450A Fall 06 Problem There are wo ypes of ndvduals, =, wh dfferen ables w. Le be ype s onsumpon, l be hs hours worked and nome y = w l. Uly s nreasng n onsumpon and dereasng n hours worked.

More information

Let s treat the problem of the response of a system to an applied external force. Again,

Let s treat the problem of the response of a system to an applied external force. Again, Page 33 QUANTUM LNEAR RESPONSE FUNCTON Le s rea he problem of he response of a sysem o an appled exernal force. Agan, H() H f () A H + V () Exernal agen acng on nernal varable Hamlonan for equlbrum sysem

More information

In the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!") i+1,q - [(!

In the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!) i+1,q - [(! ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL The frs hng o es n wo-way ANOVA: Is here neracon? "No neracon" means: The man effecs model would f. Ths n urn means: In he neracon plo (wh A on he horzonal

More information

Existence and Uniqueness Results for Random Impulsive Integro-Differential Equation

Existence and Uniqueness Results for Random Impulsive Integro-Differential Equation Global Journal of Pure and Appled Mahemacs. ISSN 973-768 Volume 4, Number 6 (8), pp. 89-87 Research Inda Publcaons hp://www.rpublcaon.com Exsence and Unqueness Resuls for Random Impulsve Inegro-Dfferenal

More information

Dynamic Team Decision Theory. EECS 558 Project Shrutivandana Sharma and David Shuman December 10, 2005

Dynamic Team Decision Theory. EECS 558 Project Shrutivandana Sharma and David Shuman December 10, 2005 Dynamc Team Decson Theory EECS 558 Proec Shruvandana Sharma and Davd Shuman December 0, 005 Oulne Inroducon o Team Decson Theory Decomposon of he Dynamc Team Decson Problem Equvalence of Sac and Dynamc

More information

e-journal Reliability: Theory& Applications No 2 (Vol.2) Vyacheslav Abramov

e-journal Reliability: Theory& Applications No 2 (Vol.2) Vyacheslav Abramov June 7 e-ournal Relably: Theory& Applcaons No (Vol. CONFIDENCE INTERVALS ASSOCIATED WITH PERFORMANCE ANALYSIS OF SYMMETRIC LARGE CLOSED CLIENT/SERVER COMPUTER NETWORKS Absrac Vyacheslav Abramov School

More information

Solution in semi infinite diffusion couples (error function analysis)

Solution in semi infinite diffusion couples (error function analysis) Soluon n sem nfne dffuson couples (error funcon analyss) Le us consder now he sem nfne dffuson couple of wo blocks wh concenraon of and I means ha, n a A- bnary sysem, s bondng beween wo blocks made of

More information

Multi-Fuel and Mixed-Mode IC Engine Combustion Simulation with a Detailed Chemistry Based Progress Variable Library Approach

Multi-Fuel and Mixed-Mode IC Engine Combustion Simulation with a Detailed Chemistry Based Progress Variable Library Approach Mul-Fuel and Med-Mode IC Engne Combuson Smulaon wh a Dealed Chemsry Based Progress Varable Lbrary Approach Conens Inroducon Approach Resuls Conclusons 2 Inroducon New Combuson Model- PVM-MF New Legslaons

More information

WiH Wei He

WiH Wei He Sysem Idenfcaon of onlnear Sae-Space Space Baery odels WH We He wehe@calce.umd.edu Advsor: Dr. Chaochao Chen Deparmen of echancal Engneerng Unversy of aryland, College Par 1 Unversy of aryland Bacground

More information

HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD

HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Journal of Appled Mahemacs and Compuaonal Mechancs 3, (), 45-5 HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Sansław Kukla, Urszula Sedlecka Insue of Mahemacs,

More information

( t) Outline of program: BGC1: Survival and event history analysis Oslo, March-May Recapitulation. The additive regression model

( t) Outline of program: BGC1: Survival and event history analysis Oslo, March-May Recapitulation. The additive regression model BGC1: Survval and even hsory analyss Oslo, March-May 212 Monday May 7h and Tuesday May 8h The addve regresson model Ørnulf Borgan Deparmen of Mahemacs Unversy of Oslo Oulne of program: Recapulaon Counng

More information

Chapter 5 Mobile Radio Propagation: Small-Scale Scale Fading and Multipath

Chapter 5 Mobile Radio Propagation: Small-Scale Scale Fading and Multipath Chaper 5 Moble Rado Propagaon: Small-Scale Scale Fadng and Mulpah Ymn Zhang, Ph.D. Deparmen of Elecrcal & Compuer Engneerng Vllanova Unversy hp://ymnzhang.com/ece878 Ymn Zhang, Vllanova Unversy Oulnes

More information

)-interval valued fuzzy ideals in BF-algebras. Some properties of (, ) -interval valued fuzzy ideals in BF-algebra, where

)-interval valued fuzzy ideals in BF-algebras. Some properties of (, ) -interval valued fuzzy ideals in BF-algebra, where Inernaonal Journal of Engneerng Advaned Researh Tehnology (IJEART) ISSN: 454-990, Volume-, Issue-4, Oober 05 Some properes of (, )-nerval valued fuzzy deals n BF-algebras M. Idrees, A. Rehman, M. Zulfqar,

More information

Sequential Unit Root Test

Sequential Unit Root Test Sequenal Un Roo es Naga, K, K Hom and Y Nshyama 3 Deparmen of Eonoms, Yokohama Naonal Unversy, Japan Deparmen of Engneerng, Kyoo Insue of ehnology, Japan 3 Insue of Eonom Researh, Kyoo Unversy, Japan Emal:

More information

[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5

[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5 TPG460 Reservor Smulaon 08 page of 5 DISCRETIZATIO OF THE FOW EQUATIOS As we already have seen, fne dfference appromaons of he paral dervaves appearng n he flow equaons may be obaned from Taylor seres

More information

12d Model. Civil and Surveying Software. Drainage Analysis Module Detention/Retention Basins. Owen Thornton BE (Mech), 12d Model Programmer

12d Model. Civil and Surveying Software. Drainage Analysis Module Detention/Retention Basins. Owen Thornton BE (Mech), 12d Model Programmer d Model Cvl and Surveyng Soware Dranage Analyss Module Deenon/Reenon Basns Owen Thornon BE (Mech), d Model Programmer owen.hornon@d.com 4 January 007 Revsed: 04 Aprl 007 9 February 008 (8Cp) Ths documen

More information

Comb Filters. Comb Filters

Comb Filters. Comb Filters The smple flers dscussed so far are characered eher by a sngle passband and/or a sngle sopband There are applcaons where flers wh mulple passbands and sopbands are requred Thecomb fler s an example of

More information

UNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 2017 EXAMINATION

UNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 2017 EXAMINATION INTERNATIONAL TRADE T. J. KEHOE UNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 27 EXAMINATION Please answer wo of he hree quesons. You can consul class noes, workng papers, and arcles whle you are workng on he

More information

EE 247B/ME 218: Introduction to MEMS Design Lecture 27m2: Gyros, Noise & MDS CTN 5/1/14. Copyright 2014 Regents of the University of California

EE 247B/ME 218: Introduction to MEMS Design Lecture 27m2: Gyros, Noise & MDS CTN 5/1/14. Copyright 2014 Regents of the University of California MEMSBase Fork Gyrosoe Ω r z Volage Deermnng Resoluon EE C45: Inrouon o MEMS Desgn LeM 15 C. Nguyen 11/18/08 17 () Curren (+) Curren Eleroe EE C45: Inrouon o MEMS Desgn LeM 15 C. Nguyen 11/18/08 18 [Zaman,

More information

Approximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy

Approximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy Arcle Inernaonal Journal of Modern Mahemacal Scences, 4, (): - Inernaonal Journal of Modern Mahemacal Scences Journal homepage: www.modernscenfcpress.com/journals/jmms.aspx ISSN: 66-86X Florda, USA Approxmae

More information

THE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS

THE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS THE PREICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS INTROUCTION The wo dmensonal paral dfferenal equaons of second order can be used for he smulaon of compeve envronmen n busness The arcle presens he

More information

Development of a New Optimal Multilevel Thresholding Using Improved Particle Swarm Optimization Algorithm for Image Segmentation

Development of a New Optimal Multilevel Thresholding Using Improved Particle Swarm Optimization Algorithm for Image Segmentation Inernaonal Journal of Elerons Engneerng, (1), 010, pp. 63-67 Developmen of a New Opmal Mullevel Thresholdng Usng Improved Parle Swarm Opmzaon Algorhm for Image Segmenaon P.D. Sahya 1 & R. Kayalvzh 1 Deparmen

More information

Performance Analysis for a Network having Standby Redundant Unit with Waiting in Repair

Performance Analysis for a Network having Standby Redundant Unit with Waiting in Repair TECHNI Inernaonal Journal of Compung Scence Communcaon Technologes VOL.5 NO. July 22 (ISSN 974-3375 erformance nalyss for a Nework havng Sby edundan Un wh ang n epar Jendra Sngh 2 abns orwal 2 Deparmen

More information

Ordinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s

Ordinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s Ordnary Dfferenal Equaons n Neuroscence wh Malab eamples. Am - Gan undersandng of how o se up and solve ODE s Am Undersand how o se up an solve a smple eample of he Hebb rule n D Our goal a end of class

More information

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4 CS434a/54a: Paern Recognon Prof. Olga Veksler Lecure 4 Oulne Normal Random Varable Properes Dscrmnan funcons Why Normal Random Varables? Analycally racable Works well when observaon comes form a corruped

More information

J i-1 i. J i i+1. Numerical integration of the diffusion equation (I) Finite difference method. Spatial Discretization. Internal nodes.

J i-1 i. J i i+1. Numerical integration of the diffusion equation (I) Finite difference method. Spatial Discretization. Internal nodes. umercal negraon of he dffuson equaon (I) Fne dfference mehod. Spaal screaon. Inernal nodes. R L V For hermal conducon le s dscree he spaal doman no small fne spans, =,,: Balance of parcles for an nernal

More information

A Game-theoretical Approach for Job Shop Scheduling Considering Energy Cost in Service Oriented Manufacturing

A Game-theoretical Approach for Job Shop Scheduling Considering Energy Cost in Service Oriented Manufacturing 06 Inernaonal Conferene on Appled Mehans, Mehanal and Maerals Engneerng (AMMME 06) ISBN: 978--60595-409-7 A Game-heoreal Approah for Job Shop Shedulng Consderng Energy Cos n Serve Orened Manufaurng Chang-le

More information

On One Analytic Method of. Constructing Program Controls

On One Analytic Method of. Constructing Program Controls Appled Mahemacal Scences, Vol. 9, 05, no. 8, 409-407 HIKARI Ld, www.m-hkar.com hp://dx.do.org/0.988/ams.05.54349 On One Analyc Mehod of Consrucng Program Conrols A. N. Kvko, S. V. Chsyakov and Yu. E. Balyna

More information

The Maxwell equations as a Bäcklund transformation

The Maxwell equations as a Bäcklund transformation ADVANCED ELECTROMAGNETICS, VOL. 4, NO. 1, JULY 15 The Mawell equaons as a Bäklund ransformaon C. J. Papahrsou Deparmen of Physal Senes, Naval Aademy of Greee, Praeus, Greee papahrsou@snd.edu.gr Absra Bäklund

More information

Citation 2006 Ieee Power Engineering Society General Meeting, Pes, 2006

Citation 2006 Ieee Power Engineering Society General Meeting, Pes, 2006 Tle Reave power plannng and s os alloaon for dsrbuon sysems wh dsrbued generaon Auhor(s) Chen, L; Zhong, J; Gan, D Caon 6 eee Power Engneerng Soey General Meeng, Pes, 6 ssued Dae 6 URL hp://hdl.handle.ne/7/459

More information

Fuzzy Goal Programming for Solving Fuzzy Regression Equations

Fuzzy Goal Programming for Solving Fuzzy Regression Equations Proeedngs of he h WSEAS Inernaonal Conferene on SYSEMS Voulagmen Ahens Greee July () Fuzzy Goal Programmng for Solvng Fuzzy Regresson Equaons RueyChyn saur Dearmen of Fnane Hsuan Chuang Unversy 8 Hsuan

More information

FTCS Solution to the Heat Equation

FTCS Solution to the Heat Equation FTCS Soluon o he Hea Equaon ME 448/548 Noes Gerald Reckenwald Porland Sae Unversy Deparmen of Mechancal Engneerng gerry@pdxedu ME 448/548: FTCS Soluon o he Hea Equaon Overvew Use he forward fne d erence

More information

FI 3103 Quantum Physics

FI 3103 Quantum Physics /9/4 FI 33 Quanum Physcs Aleander A. Iskandar Physcs of Magnesm and Phooncs Research Grou Insu Teknolog Bandung Basc Conces n Quanum Physcs Probably and Eecaon Value Hesenberg Uncerany Prncle Wave Funcon

More information

PROJEKTKURS I ADAPTIV SIGNALBEHANDLING

PROJEKTKURS I ADAPTIV SIGNALBEHANDLING PROJEKTKURS I ADAPTIV SIGNALBEHANDLING Room Aouss wh assoaed fundamenals of aouss PURPOSE.... INTRODUCTION.... FUNDAMENTALS OF ACOUSTICS...4.. VIBRATIONS AND SOUND (WAVES)...4. WAVE EQUATION...6 A. The

More information

P R = P 0. The system is shown on the next figure:

P R = P 0. The system is shown on the next figure: TPG460 Reservor Smulaon 08 page of INTRODUCTION TO RESERVOIR SIMULATION Analycal and numercal soluons of smple one-dmensonal, one-phase flow equaons As an nroducon o reservor smulaon, we wll revew he smples

More information

FAST EFFICIENT ALGORITHM FOR ENHANCEMENT OF LOW LIGHTING VIDEO. Xuan Dong, Guan Wang, Yi (Amy) Pang, Weixin Li, Jiangtao (Gene) Wen

FAST EFFICIENT ALGORITHM FOR ENHANCEMENT OF LOW LIGHTING VIDEO. Xuan Dong, Guan Wang, Yi (Amy) Pang, Weixin Li, Jiangtao (Gene) Wen FAST EFFICIENT ALGORITHM FOR ENHANCEMENT OF LOW LIGHTING VIDEO Xuan Dong, Guan Wang, Y (Amy) Pang, Wexn L, Jangao (Gene) Wen ABSTRACT We desrbe a novel and effeve vdeo enhanemen algorhm for low lghng vdeo.

More information

Fall 2010 Graduate Course on Dynamic Learning

Fall 2010 Graduate Course on Dynamic Learning Fall 200 Graduae Course on Dynamc Learnng Chaper 4: Parcle Flers Sepember 27, 200 Byoung-Tak Zhang School of Compuer Scence and Engneerng & Cognve Scence and Bran Scence Programs Seoul aonal Unversy hp://b.snu.ac.kr/~bzhang/

More information

Time-interval analysis of β decay. V. Horvat and J. C. Hardy

Time-interval analysis of β decay. V. Horvat and J. C. Hardy Tme-nerval analyss of β decay V. Horva and J. C. Hardy Work on he even analyss of β decay [1] connued and resuled n he developmen of a novel mehod of bea-decay me-nerval analyss ha produces hghly accurae

More information

John Geweke a and Gianni Amisano b a Departments of Economics and Statistics, University of Iowa, USA b European Central Bank, Frankfurt, Germany

John Geweke a and Gianni Amisano b a Departments of Economics and Statistics, University of Iowa, USA b European Central Bank, Frankfurt, Germany Herarchcal Markov Normal Mxure models wh Applcaons o Fnancal Asse Reurns Appendx: Proofs of Theorems and Condonal Poseror Dsrbuons John Geweke a and Gann Amsano b a Deparmens of Economcs and Sascs, Unversy

More information

Solution. The straightforward approach is surprisingly difficult because one has to be careful about the limits.

Solution. The straightforward approach is surprisingly difficult because one has to be careful about the limits. ose ad Varably Homewor # (8), aswers Q: Power spera of some smple oses A Posso ose A Posso ose () s a sequee of dela-fuo pulses, eah ourrg depedely, a some rae r (More formally, s a sum of pulses of wdh

More information

Direct Current Circuits

Direct Current Circuits Eler urren (hrges n Moon) Eler urren () The ne moun of hrge h psses hrough onduor per un me ny pon. urren s defned s: Dre urren rus = dq d Eler urren s mesured n oulom s per seond or mperes. ( = /s) n

More information

Graduate Macroeconomics 2 Problem set 5. - Solutions

Graduate Macroeconomics 2 Problem set 5. - Solutions Graduae Macroeconomcs 2 Problem se. - Soluons Queson 1 To answer hs queson we need he frms frs order condons and he equaon ha deermnes he number of frms n equlbrum. The frms frs order condons are: F K

More information

Robustness Experiments with Two Variance Components

Robustness Experiments with Two Variance Components Naonal Insue of Sandards and Technology (NIST) Informaon Technology Laboraory (ITL) Sascal Engneerng Dvson (SED) Robusness Expermens wh Two Varance Componens by Ana Ivelsse Avlés avles@ns.gov Conference

More information

Performance Comparison of Bivariate Copulas on the CUSUM and EWMA Control Charts

Performance Comparison of Bivariate Copulas on the CUSUM and EWMA Control Charts Proeedngs of he World Congress on Engneerng and Compuer Sene 5 Vol II WCECS 5, Oober -3, 5, San Franso, USA Performane Comparson of Bvarae Copulas on he CUSUM and EWMA Conrol Chars Sasgarn Kuvaana, Saowan

More information

Journal of Chemical and Pharmaceutical Research, 2014, 6(5): Research Article

Journal of Chemical and Pharmaceutical Research, 2014, 6(5): Research Article Avalable onlne.jopr.om Journal o Chemal Pharmaeual Researh, 014, 6(5:44-48 Researh Arle ISS : 0975-7384 CODE(USA : JCPRC5 Perormane evaluaon or engneerng proje managemen o parle sarm opmzaon based on leas

More information

National Exams December 2015 NOTES: 04-BS-13, Biology. 3 hours duration

National Exams December 2015 NOTES: 04-BS-13, Biology. 3 hours duration Naonal Exams December 205 04-BS-3 Bology 3 hours duraon NOTES: f doub exss as o he nerpreaon of any queson he canddae s urged o subm wh he answer paper a clear saemen of any assumpons made 2 Ths s a CLOSED

More information

GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS. Youngwoo Ahn and Kitae Kim

GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS. Youngwoo Ahn and Kitae Kim Korean J. Mah. 19 (2011), No. 3, pp. 263 272 GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS Youngwoo Ahn and Kae Km Absrac. In he paper [1], an explc correspondence beween ceran

More information

CS 268: Packet Scheduling

CS 268: Packet Scheduling Pace Schedulng Decde when and wha pace o send on oupu ln - Usually mplemened a oupu nerface CS 68: Pace Schedulng flow Ion Soca March 9, 004 Classfer flow flow n Buffer managemen Scheduler soca@cs.bereley.edu

More information

Origin of the inertial mass (II): Vector gravitational theory

Origin of the inertial mass (II): Vector gravitational theory Orn of he neral mass (II): Veor ravaonal heory Weneslao Seura González e-mal: weneslaoseuraonzalez@yahoo.es Independen Researher Absra. We dedue he nduve fores of a veor ravaonal heory and we wll sudy

More information

Appendix H: Rarefaction and extrapolation of Hill numbers for incidence data

Appendix H: Rarefaction and extrapolation of Hill numbers for incidence data Anne Chao Ncholas J Goell C seh lzabeh L ander K Ma Rober K Colwell and Aaron M llson 03 Rarefacon and erapolaon wh ll numbers: a framewor for samplng and esmaon n speces dversy sudes cology Monographs

More information

Sampling Procedure of the Sum of two Binary Markov Process Realizations

Sampling Procedure of the Sum of two Binary Markov Process Realizations Samplng Procedure of he Sum of wo Bnary Markov Process Realzaons YURY GORITSKIY Dep. of Mahemacal Modelng of Moscow Power Insue (Techncal Unversy), Moscow, RUSSIA, E-mal: gorsky@yandex.ru VLADIMIR KAZAKOV

More information

( ) () we define the interaction representation by the unitary transformation () = ()

( ) () we define the interaction representation by the unitary transformation () = () Hgher Order Perurbaon Theory Mchael Fowler 3/7/6 The neracon Represenaon Recall ha n he frs par of hs course sequence, we dscussed he chrödnger and Hesenberg represenaons of quanum mechancs here n he chrödnger

More information

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC CH.3. COMPATIBILITY EQUATIONS Connuum Mechancs Course (MMC) - ETSECCPB - UPC Overvew Compably Condons Compably Equaons of a Poenal Vecor Feld Compably Condons for Infnesmal Srans Inegraon of he Infnesmal

More information

Journal of Theoretical and Applied Information Technology.

Journal of Theoretical and Applied Information Technology. Journal of heorecal and Appled Informaon echnology 5-9 JAI. All rghs reserved. www.ja.org NEW APPROXIMAION FOR ANDOFF RAE AND NUMBER OF ANDOFF PROBABILIY IN CELLULAR SYSEMS UNDER GENERAL DISRIBUIONS OF

More information

Coordination and Concurrent Negotiation for Multiple Web Services Procurement

Coordination and Concurrent Negotiation for Multiple Web Services Procurement Proeedngs of he Inernaonal MulConferene of Engneers and Compuer Senss 009 Vol I IMECS 009, Marh 8-0, 009, Hong Kong Coordnaon and Conurren Negoaon for Mulple Web Serves Prouremen Benyun Sh, and Kwang Mong

More information

NATIONAL UNIVERSITY OF SINGAPORE PC5202 ADVANCED STATISTICAL MECHANICS. (Semester II: AY ) Time Allowed: 2 Hours

NATIONAL UNIVERSITY OF SINGAPORE PC5202 ADVANCED STATISTICAL MECHANICS. (Semester II: AY ) Time Allowed: 2 Hours NATONAL UNVERSTY OF SNGAPORE PC5 ADVANCED STATSTCAL MECHANCS (Semeser : AY 1-13) Tme Allowed: Hours NSTRUCTONS TO CANDDATES 1. Ths examnaon paper conans 5 quesons and comprses 4 prned pages.. Answer all

More information

Single-loop System Reliability-Based Design & Topology Optimization (SRBDO/SRBTO): A Matrix-based System Reliability (MSR) Method

Single-loop System Reliability-Based Design & Topology Optimization (SRBDO/SRBTO): A Matrix-based System Reliability (MSR) Method 10 h US Naonal Congress on Compuaonal Mechancs Columbus, Oho 16-19, 2009 Sngle-loop Sysem Relably-Based Desgn & Topology Opmzaon (SRBDO/SRBTO): A Marx-based Sysem Relably (MSR) Mehod Tam Nguyen, Junho

More information

Vector aeroacoustics for a uniform mean flow: acoustic velocity and

Vector aeroacoustics for a uniform mean flow: acoustic velocity and Veor aeroaouss for a unform mean flow: aous veloy and voral veloy Yjun ao 1,, Zhwe Hu 1, Chen Xu 1, 1 Unversy of Souhampon, SO17 1BJ Souhampon, Uned Kngdom X'an Jaoong Unversy, 7149 X'an, People's epubl

More information

Block 5 Transport of solutes in rivers

Block 5 Transport of solutes in rivers Nmeral Hydrals Blok 5 Transpor of soles n rvers Marks Holzner Conens of he orse Blok 1 The eqaons Blok Compaon of pressre srges Blok 3 Open hannel flow flow n rvers Blok 4 Nmeral solon of open hannel flow

More information

Notes on the stability of dynamic systems and the use of Eigen Values.

Notes on the stability of dynamic systems and the use of Eigen Values. Noes on he sabl of dnamc ssems and he use of Egen Values. Source: Macro II course noes, Dr. Davd Bessler s Tme Seres course noes, zarads (999) Ineremporal Macroeconomcs chaper 4 & Techncal ppend, and Hamlon

More information

Example: MOSFET Amplifier Distortion

Example: MOSFET Amplifier Distortion 4/25/2011 Example MSFET Amplfer Dsoron 1/9 Example: MSFET Amplfer Dsoron Recall hs crcu from a prevous handou: ( ) = I ( ) D D d 15.0 V RD = 5K v ( ) = V v ( ) D o v( ) - K = 2 0.25 ma/v V = 2.0 V 40V.

More information

The Finite Element Method for the Analysis of Non-Linear and Dynamic Systems

The Finite Element Method for the Analysis of Non-Linear and Dynamic Systems Swss Federal Insue of Page 1 The Fne Elemen Mehod for he Analyss of Non-Lnear and Dynamc Sysems Prof. Dr. Mchael Havbro Faber Dr. Nebojsa Mojslovc Swss Federal Insue of ETH Zurch, Swzerland Mehod of Fne

More information

DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL

DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL Sco Wsdom, John Hershey 2, Jonahan Le Roux 2, and Shnj Waanabe 2 Deparmen o Elecrcal Engneerng, Unversy o Washngon, Seale, WA, USA

More information

Nurturing a New Low Carbon Sector under Uncertainty of Fuel Economy and Renewable Sources Development

Nurturing a New Low Carbon Sector under Uncertainty of Fuel Economy and Renewable Sources Development Nururng a New Low Carbon Seor under Unerany of Fuel Eonomy and Renewable Soures Developmen a Nmura a, Hrosh aamor b, Da Yamasa, Wang d, and Ryuh Yooyama e a Fauly of Eonoms, Hose Unversy b Waseda Unversy

More information

Sklar: Sections (4.4.2 is not covered).

Sklar: Sections (4.4.2 is not covered). COSC 44: Dgal Councaons Insrucor: Dr. Ar Asf Deparen of Copuer Scence and Engneerng York Unversy Handou # 6: Bandpass Modulaon opcs:. Phasor Represenaon. Dgal Modulaon Schees: PSK FSK ASK APK ASK/FSK)

More information

Implementation of Quantized State Systems in MATLAB/Simulink

Implementation of Quantized State Systems in MATLAB/Simulink SNE T ECHNICAL N OTE Implemenaon of Quanzed Sae Sysems n MATLAB/Smulnk Parck Grabher, Mahas Rößler 2*, Bernhard Henzl 3 Ins. of Analyss and Scenfc Compung, Venna Unversy of Technology, Wedner Haupsraße

More information

Volatility Interpolation

Volatility Interpolation Volaly Inerpolaon Prelmnary Verson March 00 Jesper Andreasen and Bran Huge Danse Mares, Copenhagen wan.daddy@danseban.com brno@danseban.com Elecronc copy avalable a: hp://ssrn.com/absrac=69497 Inro Local

More information

Chapter Lagrangian Interpolation

Chapter Lagrangian Interpolation Chaper 5.4 agrangan Inerpolaon Afer readng hs chaper you should be able o:. dere agrangan mehod of nerpolaon. sole problems usng agrangan mehod of nerpolaon and. use agrangan nerpolans o fnd deraes and

More information

Superstructure-based Optimization for Design of Optimal PSA Cycles for CO 2 Capture

Superstructure-based Optimization for Design of Optimal PSA Cycles for CO 2 Capture Supersruure-asedOpmaonforDesgnof OpmalPSACylesforCO 2 Capure R. S. Kamah I. E. Grossmann L.. Begler Deparmen of Chemal Engneerng Carnege Mellon Unversy Psurgh PA 523 Marh 2 PSA n Nex Generaon Power Plans

More information

ELASTIC MODULUS ESTIMATION OF CHOPPED CARBON FIBER TAPE REINFORCED THERMOPLASTICS USING THE MONTE CARLO SIMULATION

ELASTIC MODULUS ESTIMATION OF CHOPPED CARBON FIBER TAPE REINFORCED THERMOPLASTICS USING THE MONTE CARLO SIMULATION THE 19 TH INTERNATIONAL ONFERENE ON OMPOSITE MATERIALS ELASTI MODULUS ESTIMATION OF HOPPED ARBON FIBER TAPE REINFORED THERMOPLASTIS USING THE MONTE ARLO SIMULATION Y. Sao 1*, J. Takahash 1, T. Masuo 1,

More information

Model Comparison with SPC

Model Comparison with SPC European Journal of Appled Senes 8 (: 0-09, 06 ISSN 079-077 IDOSI Pulaons, 06 DOI: 0.589/dos.ejas.06.8..84 Model Comparson wh SPC Gua Srdev Deparmen of CSE, KL Unversy, Gunur, AP., Inda Asra: One of he

More information

January Examinations 2012

January Examinations 2012 Page of 5 EC79 January Examnaons No. of Pages: 5 No. of Quesons: 8 Subjec ECONOMICS (POSTGRADUATE) Tle of Paper EC79 QUANTITATIVE METHODS FOR BUSINESS AND FINANCE Tme Allowed Two Hours ( hours) Insrucons

More information

Designing Information Devices and Systems I Spring 2019 Lecture Notes Note 17

Designing Information Devices and Systems I Spring 2019 Lecture Notes Note 17 EES 16A Designing Informaion Devices and Sysems I Spring 019 Lecure Noes Noe 17 17.1 apaciive ouchscreen In he las noe, we saw ha a capacior consiss of wo pieces on conducive maerial separaed by a nonconducive

More information

by Lauren DeDieu Advisor: George Chen

by Lauren DeDieu Advisor: George Chen b Laren DeDe Advsor: George Chen Are one of he mos powerfl mehods o nmercall solve me dependen paral dfferenal eqaons PDE wh some knd of snglar shock waves & blow-p problems. Fed nmber of mesh pons Moves

More information

Chapter 6: AC Circuits

Chapter 6: AC Circuits Chaper 6: AC Crcus Chaper 6: Oulne Phasors and he AC Seady Sae AC Crcus A sable, lnear crcu operang n he seady sae wh snusodal excaon (.e., snusodal seady sae. Complee response forced response naural response.

More information

Transient Response in Electric Circuits

Transient Response in Electric Circuits Transen esponse n Elecrc rcus The elemen equaon for he branch of he fgure when he source s gven by a generc funcon of me, s v () r d r ds = r Mrs d d r (')d' () V The crcu s descrbed by he opology equaons

More information

On electric vehicle battery charger modeling

On electric vehicle battery charger modeling On eler ehle baery harger modelng L. Sanz J. J. Mesas and J. Balells 2 Deparmen of leral ngneerng.t.s...b Tehnal Unersy of Caalona (UPC) A. Dagonal 647 828 Barelona (Span) Phone/Fax number:+34 93 4759/+34

More information

Linear Response Theory: The connection between QFT and experiments

Linear Response Theory: The connection between QFT and experiments Phys540.nb 39 3 Lnear Response Theory: The connecon beween QFT and expermens 3.1. Basc conceps and deas Q: ow do we measure he conducvy of a meal? A: we frs nroduce a weak elecrc feld E, and hen measure

More information

Electromagnetic energy, momentum and forces in a dielectric medium with losses

Electromagnetic energy, momentum and forces in a dielectric medium with losses leroane ener, oenu and fores n a deler edu wh losses Yur A. Srhev he Sae Ao ner Cororaon ROSAO, "Researh and esn Insue of Rado-leron nneern" - branh of Federal Senf-Produon Cener "Produon Assoaon "Sar"

More information

M. Y. Adamu Mathematical Sciences Programme, AbubakarTafawaBalewa University, Bauchi, Nigeria

M. Y. Adamu Mathematical Sciences Programme, AbubakarTafawaBalewa University, Bauchi, Nigeria IOSR Journal of Mahemacs (IOSR-JM e-issn: 78-578, p-issn: 9-765X. Volume 0, Issue 4 Ver. IV (Jul-Aug. 04, PP 40-44 Mulple SolonSoluons for a (+-dmensonalhroa-sasuma shallow waer wave equaon UsngPanlevé-Bӓclund

More information

CHAPTER 5: MULTIVARIATE METHODS

CHAPTER 5: MULTIVARIATE METHODS CHAPER 5: MULIVARIAE MEHODS Mulvarae Daa 3 Mulple measuremens (sensors) npus/feaures/arbues: -varae N nsances/observaons/eamples Each row s an eample Each column represens a feaure X a b correspons o he

More information

Polymerization Technology Laboratory Course

Polymerization Technology Laboratory Course Prakkum Polymer Scence/Polymersaonsechnk Versuch Resdence Tme Dsrbuon Polymerzaon Technology Laboraory Course Resdence Tme Dsrbuon of Chemcal Reacors If molecules or elemens of a flud are akng dfferen

More information

A Deterministic Algorithm for Summarizing Asynchronous Streams over a Sliding Window

A Deterministic Algorithm for Summarizing Asynchronous Streams over a Sliding Window A Deermnsc Algorhm for Summarzng Asynchronous Sreams over a Sldng ndow Cosas Busch Rensselaer Polyechnc Insue Srkana Trhapura Iowa Sae Unversy Oulne of Talk Inroducon Algorhm Analyss Tme C Daa sream: 3

More information

Computing Relevance, Similarity: The Vector Space Model

Computing Relevance, Similarity: The Vector Space Model Compung Relevance, Smlary: The Vecor Space Model Based on Larson and Hears s sldes a UC-Bereley hp://.sms.bereley.edu/courses/s0/f00/ aabase Managemen Sysems, R. Ramarshnan ocumen Vecors v ocumens are

More information

Method of Characteristics for Pure Advection By Gilberto E. Urroz, September 2004

Method of Characteristics for Pure Advection By Gilberto E. Urroz, September 2004 Mehod of Charaerss for Pre Adveon By Glbero E Urroz Sepember 004 Noe: The followng noes are based on lass noes for he lass COMPUTATIONAL HYDAULICS as agh by Dr Forres Holly n he Sprng Semeser 985 a he

More information