An Architecture for Integrating VLBI Digital Processing into the Next Generation IRAM PdBI Correlator
|
|
- Eleanor Wright
- 5 years ago
- Views:
Transcription
1 An Archtctur for Intgratng VLBI Dgtal Procssng nto th Nxt Gnraton IRAM PdBI Corrlator Robrto G. García IRAM (Grnobl) Sptmbr 2010
2 Abstract Th nxt gnraton dgtal backnd for th Platau d Bur ntrfromtr wll b dsgnd to provd phasd-array data for mllmtr VLBI obsrvatons. Ths rport dscrbs td-array opraton and th dgtal fltrng schm whch gnrats basband sgnals rady to b rcordd n standard VLBI systms. An ffcnt polyphas mplmntaton s proposd for that fltrng modul. 1
3 Tabl of contnts 1. Introducton Phasd array opraton Dlay and phas offst corrctons Dlay corrcton Phas offst corrcton Convrson to VLBI basband channls Archtctur dscrpton Cas of 32 MHz bands Gnrc cas (M output channls) Polyphas mplmntaton Polyphas fltrng stag Fourr transform stag and complx-to-ral convrson Smulatons
4 1. Introducton Th nxt gnraton dgtal backnd for th Platau d Bur ntrfromtr (PdBI) wll nclud, apart from th local corrlator ngn, a spcfc dgtal systm to prform global mllmtr VLBI obsrvatons n a phasd-array opraton mod. Th da s to gnrat VLBI-compatbl data by procssng th cohrnt addton of sgnals comng from ach antnna dgtal frontnd (also known as dgtal rcvr). Fgur 1: Dgtal Frontnd (or Dgtal Rcvr) for VLBI opraton mod. Fgur 1 shows th proposd archtctur for th dgtal frontnd. Its prlmnary spcfcatons ar th followng: Samplng at GSPS wth 5 bts. Frquncy dmultplxng schm basd on a 64-channl ovrlappng polyphas fltr bank [1]. Thr s a frquncy ovrlappng of 50 % to avod spctral hols (s Fgur 2). Output channls ar complx-valud, rquantzd to 16 bts and th output rat s 128 MSPS (64 MHz of ffctv bandwdth, du to ovrlap). Frquncy slc slctor ovr th full 4GHz bandwdth. For VLBI full rat opraton (4Gbps), 16 frquncy wndows must b procssd n paralll. Th FFT procssors usd n local FX-corrlaton mod ar rplacd by phas shftrs n VLBI mod. Ths phas rotators allow th subsqunt cohrnt addton of sgnals comng from th N antnna dgtal frontnds at th sam frquncy slc (s Fgurs 1 and 3). 3
5 Fgur 2: Ovrlappng polyphas fltr bank frquncy rspons. It s a combnaton of two convntonal polyphas fltr banks shftd by half a frquncy channl. 2. Phasd array opraton To prform VLBI-obsrvatons togthr wth othr tlscops around th world, th PdB ntrfromtr must work lk a sngl-lmnt tlscop n a phasd-array opraton. Ths mans, th sgnals from th N antnnas of th array must b cohrntly addd to obtan a jontly rspons (mprovng th S/N rato n a thortcal factor of N). Our systm prforms ths summaton for ach slctd sub-band, as t s shown n fgur 3. For a propr cohrnt addton, th rlatv phas btwn th antnna sgnals must b zro (wthn a tolrabl rror ovr th frquncy rang). Ths rqurd phas corrcton s don by dgtal hardwar and s usually known as dgtal bamformng. In our systm, an mprovd tm-doman bamformr s chosn. Ths bamformr contans, apart from th classcal dgtal dlay lns, a dgtal offst corrcton, whch s carrd out by phas rotators n an natural way du to th complx format at th output of th ovrlappng polyphas channlzr. Not that a frquncy-doman bamformr s computatonally mor xpnsv snc a FFT s ndd for ach antnna and an nvrs FFT must b prformd aftr th summaton of th phasd-corrctd sgnals. Fgur 3: Phasd array procssors (addr and fltrng modul for 32MHz VLBI bands). 4
6 2.1. Dlay and phas offst corrctons Dlay corrcton A dgtal dlay of D sampls (D Ts sconds) btwn two antnnas s quvalnt to a slop of -2D/f S [radans/hz] n th phas curv vrsus th analog nput frquncy. For a corrct local ntrfromtr opraton of th tlscop, gomtrcal, nstrumntal and atmosphrcal rlatv dlays btwn vry par of antnnas must b calbratd. In a phasd-array mod, for a propr cohrnt addton of th sgnals rcvd at th antnnas, apart from th dlay compnsaton, t s ncssary to mantan th phas offsts btwn th sgnals qual to zro. Ths offst corrcton s xpland n th nxt scton. Th dlay compnsaton s proposd to b carrd out by th dgtal rcvr bfor th fltr bank channlzr. That mans, th dlay s corrctd ovr th ntr 4GHz band. To gt a propr accuracy, on modul wll do th fn dlay corrcton and anothr on wll b usd for th coars on (s fgur 1). For fn dlay corrcton, a smpl mchansm wll b usd to gt dlay stps of 1 sampl (0.122 ns). It wll b mplmntd by th low-frquncy clock gnraton systm (on for ach dgtal frontnd), whch dvds th samplng frquncy by a factor of 64 to gnrat th 128 MHz clock sgnal (systm-clock). Th dlay s prformd by changng th rlatv phas btwn th nput (8.192 GHz) and th output lowfrquncy clock. 64 dffrnt phas valus around th output clock prod ar avalabl. As th hgh frquncy clock s common for all th antnna dgtal rcvrs, ths phas valus corrspond to rlatv dlays btwn antnna sgnals from 0 to ns (output clock prod), n stps of ns. Coars dlay corrcton s prformd just aftr th tm dmultplxr (to 64 lns) and bfor th ovrlappng polyphas fltrs. It wll b mplmntd usng RAM mmory rsourcs of th dgtal frontnd FPGA. Input data, organzd n words of 64 sampls, wll b stord n mmory at 128 MHz clock frquncy. Changng th output mmory addrss, dlay stps of 64 sampls or ns ar obtand. Th mmory sz wll b slctd takng nto account th gomtry of th ntrfromtr Phas offst corrcton A dgtal phas rotator compnsats phas rrors wthn ach slctd subband comng from th ovrlappng channlzr (s fgur 1). Ths phas offst can b dvdd nto a componnt proportonal to th dlay rror (subsamplng dlay) and anothr rsdual componnt rlatd to th phas frquncy rspons of th rcvr chan (group dlay nstrumntal mprfctons): τ k ( k rror k, rsdul = t ) = φ ( τ ) + φ k 0,1,..., 63 ; (1) whr k s th channl ndx. It s assumd that th group dlay s constant ovr th sub-band frquncy rang. 5
7 Fgur 4: Phas rror rspons of a wdband antnna sgnal. Fgur 4 shows th phas rspons for on antnna sgnal, aftr th ntgr dlay and ts rsdual phas componnt ar corrctd. As th dlay rsoluton s 1 sampl, th phas rror curv s a ln wth a slop valu btwn +/fs and -/fs (dlay rror of and +0.5 sampls, rspctvly). As th astronomcal sourc movs across th sky du to arth rotaton, th phas rror slop swngs contnuously btwn both lmt slops. Maxmum phas xcurson for th whol wdband sgnal s +/- /2 radans. Howvr, as th subsqunt procssng s don at sub-band lvl (64 channls n our cas), th phas xcurson s rducd to a rang +/- /256 radans around th phas offst at th channl cntr frquncy (dnotd as φ k ( τ rror ) n quaton 1). Ths phas offst s proportonal to th channl ndx and to th dlay rror: k φ ( t) = D ( t) k, k = 0,1,..., NC-1; (2) N C Th numbr of ovrlappng channls N C s 64 n our cas; and D dnots th dlay rror normalzd to th samplng prod (-1<D <1). Thrfor, D rprsnts th subsamplng dlay that s not corrctd but must b trackd n ordr to compnsat th sub-band phas offst. Maxmum phas offst s +/- k/128 for th k-th sub-band. To allow prcs offst corrcton, th phas rotators wll tak dscrt valus multpl of /128 usng 16 bts to quantz th complx xponntal valu (8 bt for ral and magnary componnts). For th PdB ntrfromtr, a maxmum dlay rat of approxmatly +/-0.5 ns/s s forsn; corrspondng to an ast-wst antnna spacng of 2 km. It s quvalnt to a 6
8 normalzd dlay rat ( D / t) of approxmatly 4 unts pr scond (or 4 Hz). Th subband phas rat s also proportonal to th channl ndx, and s computd as: φ k t = N C D t k, k = 0,1,..., N -1; (3) C Usng practcal valus for our systm, th maxmum sub-band phas rat s: φ k t max k, 16 k = 0,1,..., 63 ; (4) As th phas (dlay) rat dpnds on antnna and astronomcal sourc postons, a systm calld phas rotators control (s fgur 1) must slct for ach sub-band th propr phas valu at a rat stmatd by softwar (maxmum rat of aprox. 4 Hz for th last channl). Ths control modul wll b mplmntd usng numrc controlld oscllators (NCO) to gnrat dffrnt rats for ach sub-band and look up tabls whr th complx xponntal valus for ach phas wll b stord. Concrnng th summaton ffcncy, th maxmum phas xcurson du to dlay rror and th maxmum phas offst compnsaton rror ar both +/- /256 radans. Thrfor, th maxmum phas rror btwn two sgnals bfor th addton s +/- /128 radans, whch s quvalnt to a cohrnc factor of approxmatly 99.97%. 7
9 3. Convrson to VLBI basband channls 3.1. Archtctur dscrpton Onc th phasd-array summaton s don, ach rsultng phasd sub-band must b procssd to satsfy standard VLBI rcordng spcfcatons. Th Mark 5C dsk-basd VLBI data rcordr wll ncras th rcordng rat capablty to 4096 Mbps [2]. It wll accpt VDIF 1 formattd [3] data from a standard 10 Ggabt Ethrnt conncton. Typcally, rcordd data wll b splt nto 32 non-ovrlappd ral-valud sub-bands of 32-MHz ach and rquantzd to 2 bts/sampl, achvng a maxmum rat of 4Gbps. VDIF standard consdrs othr combnatons of channl rsoluton and numbr of bts pr sampl. Fgur 5 llustrats th convrson procss for a gnrc numbr of output VLBI basband sgnals. Th da s to dvd th usful frquncy rang of a 128-MHz phasd ovrlappng sub-band nto M contguous non-ovrlappng channls. M s assumd to b a powr-of-two numbr. Fgur 5: Illustraton of th convrson from a phasd ovrlappng sub-band to M VLBI basband sgnals Cas of 32 MHz bands For th typcal cas of 32-MHz bands, two output basband sgnals must b obtand for ach phasd ovrlappng sub-band (s fgur 3). Ths two output bands ar known as lowr and uppr sdbands (LSB and USB). Thrfor, 16 ovrlappng channls must b procssd to rach th full-capablty rcordng of 4Gbps. Fgur 6 shows th sgnal procssng archtctur, proposd to gnrat two 32-MHz VLBI channls from on 128-MHz complx-valud ovrlappng channl comng from 1 VDIF: VLBI Data Intrchang Format 8
10 th phasd-array addr. Each branch conssts on a dgtal bas band convrtr (DBBC), followd by a complx-to-ral convrtr and a rquantzaton block. Actually, th nput complx sgnal s frquncy-translatd n ordr to plac th cntr frquncy of ach sdband to DC. Nxt, a low-pass FIR fltr slcts th dsrd frquncy band and a dcmator-by-two block xpands th spctra lavng fr half of th frquncy rang for th followng complx to ral convrson. Fnally a rquantzaton to 2 bts pr sampl s don. Fgur 6: Sgnal Procssng archtctur to gnrat 32MHz VLBI basband sgnals from a sngl phasd ovrlappng sub-band Gnrc cas (M output channls) Fgur 7 shows th gnrc DSP archtctur to gnrat M (powr-of-two numbr) output channls. Th cntral angular frquncs (n radans/sampl) for th VLBI output channls ar: ωk = ( M + 1; ) k = 0,1,..., M 1; (5) 2M whr a frquncy-ncrasng schm for channl lablng s usd (as s rprsntd n Fgur 5). Moduls wth M = 4, 8, 16 and 32 channls must b usd to achv VLBI channl bandwdths of 16, 8, 4 and 2 MHz, rspctvly. In practc, a dffrnt programmng cor wll b loadd to th FPGAs for ach VLBI rcordng mod. 9
11 Fgur 7: Sgnal Procssng archtctur to gnrat M VLBI basband sgnals from a sngl phasd ovrlappng sub-band Polyphas mplmntaton Ths VLBI convrson modul has charactrstcs lk unform-placd channl cntral frquncs, low pass FIR fltrs and multrat convrson, whch suggst usng a polyphas-typ mplmntaton. Polyphas systms ar hgh-ffcnt structurs n trms of savng logc-lmnts and powr consumpton [4]. Our partcular polyphas archtctur wll ntgrat both th DBBCs and th complxto-ral convrtrs. Rquantzaton blocks wll b connctd to th outputs of ths modul n ordr to gnrat a sgnal stram rady to b formattd and transmttd to th Mark-5C VLBI rcordng systm. Fgur 8 shows th block dagram for th polyphas mplmntaton. It conssts of a polyphas fltrng stag followd by a Fourr transform modul and a complx to ral convrson block. Unlk th classcal polyphas unform fltr bank, ths mplmntaton procsss only th cntral (usful) rang of th nput frquncy spctra n ordr to gnrat M qual-spacd non-ovrlappng output channls (ral-valud for ths partcular cas). As a rsult, th xprssons to dscrb th systm wll b mor complx than th classcal ons. 10
12 Fgur 8: Polyphas mplmntaton for th convrson to VLBI sgnals (M channls) Polyphas fltrng stag Fltrng stag s dvdd nto M polyphas fltrng blocks. Each fltrng block s a combnaton of two FIR polyphas fltrs. Thy ar known as vn and odd polyphas fltrs snc frst on only contrbuts to global vn output channls and th othr on only to odd ons. Output complx sgnals for th fltrng stag ar computd as: y y, o, = = L 1 r = 0 L 1 r = 0 h ( r ) x ( m r ); o h ( r ) x ( m r ); = 0,1,..., M 1 = 0,1,..., M 1 (6) whr m s th tm ndx, L ( = N / M ) s th numbr of coffcnts for ach polyphas fltr; h (r ) and h o (r ) ar th mpuls rspons for th -th vn and th -th odd polyphas fltr, rspctvly. A countrclockws commutator modl (s fgur 8) s usd: = x( [ M 1 ] m). x As for th classcal unform fltr bank, th mpuls rsponss of th polyphas fltrs ar dcmatd (by a factor M) vrsons of th mpuls rspons of th low-pass prototyp fltr 'g(n)' (N coffcnts). Howvr, for ths partcular cas, th dcmatd vrsons ar modulatd by complx sgnal and ar phas shftd (by a constant valu). That mpls that fltr coffcnts ar complx-valud. Th mpuls rsponss for th vn and odd polyphas fltrs ar: 11
13 h ( r ) = o h ( r ) = j 2M j 2M ( M 1) j ( M 1) r { g( M r + ) 2 }; ( M 1) j ( M 1) { g( M r + ) 2 r r ( 1) } (7) whr r = 0, 1,..., N / M 1 and = 0,1,..., M 1. Accordng to th prvous quaton, for th sam branch ( ndx), fltr coffcnts of th vn and odd fltrs ar qual n absolut valu. Actually, vn-ndxd coffcnts ar qual and odd-ndxd coffcnts hav oppost valus: h (2p) = h o (2p); o h (2p + 1) = h Thus, combnng quatons 6 and 8: (2p + 1); p = p = 0,1, 2,..., 0,1, 2,..., N 1 2M N 1 2M (8) y y, o, = = L / 2 1 h p= 0 L / 2 1 h p= 0 (2p) x ( m 2p) + (2p) x ( m 2p) L / 2 1 h p= 0 L / 2 1 h p= 0 N whr p = 0, 1, 2,..., 1 and = 0,1,..., M 1. 2M (2p + 1) x ( m 2p 1) (2p + 1) x ( m 2p 1) (9) Thrfor, th fltr multplrs ar shard btwn vn and odd fltrs for ach branch or fltrng block. Fgur 9 shows th dagram for on branch. Not that both rgstr and arthmtc moduls work n complx-arthmtc. Fgur 9: Polyphas fltrng modul (L=N/M). 12
14 Fourr transform stag and complx-to-ral convrson Followng th polyphas fltrs, sgnals ar procssd by a modul that s basd on Fourr transform blocks. In addton, ths modul ntgrats th complx-to-ral convrson whch s ndd to fulfll VLBI format spcfcatons. Fgur 10 shows th block dagram for ths last stag of th polyphas mplmntaton. At frst, w hav two nvrs M-pont Fast Fourr Transform (IFFT) ngns, on for ach group of M channls (vn and odd) comng from th polyphas fltrng stag. Each odd nput s phas shftd by a complx xponntal sgnal. Only half-output channls ar usd from ach IFFT block. Thus, output sgnals for th IFFT ngns ar: Yˆ Yˆ, k o, k = Yˆ = Yˆ = + 1 = M 1 y, = 0 M 1 y o, = j k M + j M ; 2 + j k M ; k = 0,1, 2,..., M/ 2 1 k = 0,1, 2,..., M/ 2 1 (10) Latr, a modulaton and a ral part oprator ar appld to IFFT outputs n ordr to gnrat th global output channls of th convrson systm: Y Y = Y + 1, k = Y = R Yˆ o, k = R Yˆ + 1 j m + j M m 2 j ( + 1) m ; + j M m 2 ; k = 0,1, 2,..., M/ 2 1 k = 0,1, 2,..., M/ 2 1 (11) Wthout loss of gnralty, M s assumd to b a powr-of-two numbr (as t s always for our backnd). Thn, two cass must b mntond: M = 2 (32-MHz cas). Eq. 11 s smplfd as: Y Y = R { ˆ m Y } ( 1) ; k = 0,1, 2,..., M/ 2 1 { Yˆ }; k = 0,1, 2,..., ( m) = R + 1 M/ (12) M > 2 (M = 2 x ), that s rprsntd n fgur 10. Output sgnals ar computd as: Y Y = R { Yˆ }; k = 0,1, 2,..., M/ 2 1 { ˆ m Y } ( 1) ; k = 0,1, 2,..., ( m) = R M/ k Ths output basband sgnals must b rquantzd to 2 bts, n ordr to hav compatbl channls rady to b transmttd to th Mark-5C VLBI rcordr. (13) 13
15 Fgur 10: Fourr transform stag and Complx to Ral convrson for M > 2 (M = 2 x ) 3.3. Smulatons Polyphas VLBI convrson structurs, for dffrnt numbr of channls, wr valdatd usng Matlab numrcal computng packag. Fgur 11 shows smulaton rsults for th 32-MHz cas (2 output subbands). 256 coffcnts, quantzd to 10 bts, ar usd for th prototyp FIR fltr. Th frquncy rspons for 8-MHz output bands (M=8) s shown n fgur 12. For ths cas, 512 coffcnts ar usd for th low-pass fltr to achv an out-band rjcton of approxmatly -60 db. 14
16 Convrson to 32MHz VLBI Bands USB LSB Rspons (db) Input Frquncy (f/fs) Fgur 11: Smulaton rsults for 32-MHz VLBI basbands. 0 Convrson to 8MHz VLBI Bands Rspons (db) Input Frquncy (f/fs) Fgur 12: Smulaton rsults for 8-MHz VLBI basbands. 15
17 Rfrncs [1] R.G. Garca. "Ovrlappng Polyphas Fltr Banks for IRAM backnds". IRAM Tchncal rport In prp. [2] A.R. Whtny. "Th Mark 5C VLBI Data Systm". Procdngs of th 19th Europan VLBI for Godsy and Astromtry Workng Mtng, March 2009, Bordaux (Franc). [3] VLBI Data Intrchang Format (VDIF) Spcfcaton". August 2009, Madrd [4] R.E. Crochr and L.B. Rabnr. Multrat dgtal sgnal procssng. Prntc-Hall,
Lecture 3: Phasor notation, Transfer Functions. Context
EECS 5 Fall 4, ctur 3 ctur 3: Phasor notaton, Transfr Functons EECS 5 Fall 3, ctur 3 Contxt In th last lctur, w dscussd: how to convrt a lnar crcut nto a st of dffrntal quatons, How to convrt th st of
More informationEconomics 600: August, 2007 Dynamic Part: Problem Set 5. Problems on Differential Equations and Continuous Time Optimization
THE UNIVERSITY OF MARYLAND COLLEGE PARK, MARYLAND Economcs 600: August, 007 Dynamc Part: Problm St 5 Problms on Dffrntal Equatons and Contnuous Tm Optmzaton Quston Solv th followng two dffrntal quatons.
More informationVLSI Implementation and Performance Evaluation of Low Pass Cascade & Linear Phase FIR Filter
Intrnatonal Journal of Engnrng and Tchncal Rsarch IJETR ISS: 3-869, Volum-3, Issu-6, Jun 5 VLSI Implmntaton and Prformanc Evaluaton of Low Pass Cascad & Lnar Phas Fltr Jaya Gupta, Arpan Shah, Ramsh Bhart
More informationExternal Equivalent. EE 521 Analysis of Power Systems. Chen-Ching Liu, Boeing Distinguished Professor Washington State University
xtrnal quvalnt 5 Analyss of Powr Systms Chn-Chng Lu, ong Dstngushd Profssor Washngton Stat Unvrsty XTRNAL UALNT ach powr systm (ara) s part of an ntrconnctd systm. Montorng dvcs ar nstalld and data ar
More informationChapter 6 Student Lecture Notes 6-1
Chaptr 6 Studnt Lctur Nots 6-1 Chaptr Goals QM353: Busnss Statstcs Chaptr 6 Goodnss-of-Ft Tsts and Contngncy Analyss Aftr compltng ths chaptr, you should b abl to: Us th ch-squar goodnss-of-ft tst to dtrmn
More informationThe Hyperelastic material is examined in this section.
4. Hyprlastcty h Hyprlastc matral s xad n ths scton. 4..1 Consttutv Equatons h rat of chang of ntrnal nrgy W pr unt rfrnc volum s gvn by th strss powr, whch can b xprssd n a numbr of dffrnt ways (s 3.7.6):
More informationCOMPARISON OF L1 C/A L2C COMBINED ACQUISITION TECHNIQUES
COMPARION OF C/A C COMBINE ACQUIITION TECHNIQUE Cyrll Grnot, Kyl O Kf and Gérard achapll Poston, ocaton and Navgaton PAN Rsarch Group partmnt of Gomatcs Engnrng, Unvrsty of Calgary chulch chool of Engnrng
More informationCOMPLEX NUMBER PAIRWISE COMPARISON AND COMPLEX NUMBER AHP
ISAHP 00, Bal, Indonsa, August -9, 00 COMPLEX NUMBER PAIRWISE COMPARISON AND COMPLEX NUMBER AHP Chkako MIYAKE, Kkch OHSAWA, Masahro KITO, and Masaak SHINOHARA Dpartmnt of Mathmatcal Informaton Engnrng
More information2. Grundlegende Verfahren zur Übertragung digitaler Signale (Zusammenfassung) Informationstechnik Universität Ulm
. Grundlgnd Vrfahrn zur Übrtragung dgtalr Sgnal (Zusammnfassung) wt Dc. 5 Transmsson of Dgtal Sourc Sgnals Sourc COD SC COD MOD MOD CC dg RF s rado transmsson mdum Snk DC SC DC CC DM dg DM RF g physcal
More information167 T componnt oftforc on atom B can b drvd as: F B =, E =,K (, ) (.2) wr w av usd 2 = ( ) =2 (.3) T scond drvatv: 2 E = K (, ) = K (1, ) + 3 (.4).2.2
166 ppnd Valnc Forc Flds.1 Introducton Valnc forc lds ar usd to dscrb ntra-molcular ntractons n trms of 2-body, 3-body, and 4-body (and gr) ntractons. W mplmntd many popular functonal forms n our program..2
More informationHigher order derivatives
Robrto s Nots on Diffrntial Calculus Chaptr 4: Basic diffrntiation ruls Sction 7 Highr ordr drivativs What you nd to know alrady: Basic diffrntiation ruls. What you can larn hr: How to rpat th procss of
More informationThe Fourier Transform
/9/ Th ourr Transform Jan Baptst Josph ourr 768-83 Effcnt Data Rprsntaton Data can b rprsntd n many ways. Advantag usng an approprat rprsntaton. Eampls: osy ponts along a ln Color spac rd/grn/blu v.s.
More informationA Note on Estimability in Linear Models
Intrnatonal Journal of Statstcs and Applcatons 2014, 4(4): 212-216 DOI: 10.5923/j.statstcs.20140404.06 A Not on Estmablty n Lnar Modls S. O. Adymo 1,*, F. N. Nwob 2 1 Dpartmnt of Mathmatcs and Statstcs,
More informationSeptember 27, Introduction to Ordinary Differential Equations. ME 501A Seminar in Engineering Analysis Page 1. Outline
Introucton to Ornar Dffrntal Equatons Sptmbr 7, 7 Introucton to Ornar Dffrntal Equatons Larr artto Mchancal Engnrng AB Smnar n Engnrng Analss Sptmbr 7, 7 Outln Rvw numrcal solutons Bascs of ffrntal quatons
More informationBasic Electrical Engineering for Welding [ ] --- Introduction ---
Basc Elctrcal Engnrng for Wldng [] --- Introducton --- akayosh OHJI Profssor Ertus, Osaka Unrsty Dr. of Engnrng VIUAL WELD CO.,LD t-ohj@alc.co.jp OK 15 Ex. Basc A.C. crcut h fgurs n A-group show thr typcal
More informationPhysics of Very High Frequency (VHF) Capacitively Coupled Plasma Discharges
Physcs of Vry Hgh Frquncy (VHF) Capactvly Coupld Plasma Dschargs Shahd Rauf, Kallol Bra, Stv Shannon, and Kn Collns Appld Matrals, Inc., Sunnyval, CA AVS 54 th Intrnatonal Symposum Sattl, WA Octobr 15-19,
More informationA Self-adaptive open loop architecture for weak GNSS signal tracking
NTERNATONAL JOURNAL OF CRCUTS, SYSTEMS AND SGNAL PROCESSNG Volum 8, 014 A Slf-adaptv opn loop archtctur for wa GNSS sgnal tracng Ao Png, Gang Ou, Janghong Sh Abstract An FFT-basd opn loop carrr tracng
More informationGPC From PeakSimple Data Acquisition
GPC From PakSmpl Data Acquston Introducton Th follong s an outln of ho PakSmpl data acquston softar/hardar can b usd to acqur and analyz (n conjuncton th an approprat spradsht) gl prmaton chromatography
More informationGuo, James C.Y. (1998). "Overland Flow on a Pervious Surface," IWRA International J. of Water, Vol 23, No 2, June.
Guo, Jams C.Y. (006). Knmatc Wav Unt Hyrograph for Storm Watr Prctons, Vol 3, No. 4, ASCE J. of Irrgaton an Dranag Engnrng, July/August. Guo, Jams C.Y. (998). "Ovrlan Flow on a Prvous Surfac," IWRA Intrnatonal
More informationJones vector & matrices
Jons vctor & matrcs PY3 Colást na hollscol Corcagh, Ér Unvrst Collg Cork, Irland Dpartmnt of Phscs Matr tratmnt of polarzaton Consdr a lght ra wth an nstantanous -vctor as shown k, t ˆ k, t ˆ k t, o o
More information??? Dynamic Causal Modelling for M/EEG. Electroencephalography (EEG) Dynamic Causal Modelling. M/EEG analysis at sensor level. time.
Elctroncphalography EEG Dynamc Causal Modllng for M/EEG ampltud μv tm ms tral typ 1 tm channls channls tral typ 2 C. Phllps, Cntr d Rchrchs du Cyclotron, ULg, Blgum Basd on slds from: S. Kbl M/EEG analyss
More informationGrand Canonical Ensemble
Th nsmbl of systms mmrsd n a partcl-hat rsrvor at constant tmpratur T, prssur P, and chmcal potntal. Consdr an nsmbl of M dntcal systms (M =,, 3,...M).. Thy ar mutually sharng th total numbr of partcls
More information22/ Breakdown of the Born-Oppenheimer approximation. Selection rules for rotational-vibrational transitions. P, R branches.
Subjct Chmistry Papr No and Titl Modul No and Titl Modul Tag 8/ Physical Spctroscopy / Brakdown of th Born-Oppnhimr approximation. Slction ruls for rotational-vibrational transitions. P, R branchs. CHE_P8_M
More informationLucas Test is based on Euler s theorem which states that if n is any integer and a is coprime to n, then a φ(n) 1modn.
Modul 10 Addtonal Topcs 10.1 Lctur 1 Prambl: Dtrmnng whthr a gvn ntgr s prm or compost s known as prmalty tstng. Thr ar prmalty tsts whch mrly tll us whthr a gvn ntgr s prm or not, wthout gvng us th factors
More informationAnalyzing Frequencies
Frquncy (# ndvduals) Frquncy (# ndvduals) /3/16 H o : No dffrnc n obsrvd sz frquncs and that prdctd by growth modl How would you analyz ths data? 15 Obsrvd Numbr 15 Expctd Numbr from growth modl 1 1 5
More informationte Finance (4th Edition), July 2017.
Appndx Chaptr. Tchncal Background Gnral Mathmatcal and Statstcal Background Fndng a bas: 3 2 = 9 3 = 9 1 /2 x a = b x = b 1/a A powr of 1 / 2 s also quvalnt to th squar root opraton. Fndng an xponnt: 3
More informationOutline. Why speech processing? Speech signal processing. Advanced Multimedia Signal Processing #5:Speech Signal Processing 2 -Processing-
Outlin Advancd Multimdia Signal Procssing #5:Spch Signal Procssing -Procssing- Intllignt Elctronic Systms Group Dpt. of Elctronic Enginring, UEC Basis of Spch Procssing Nois Rmoval Spctral Subtraction
More informationST 524 NCSU - Fall 2008 One way Analysis of variance Variances not homogeneous
ST 54 NCSU - Fall 008 On way Analyss of varanc Varancs not homognous On way Analyss of varanc Exampl (Yandll, 997) A plant scntst masurd th concntraton of a partcular vrus n plant sap usng ELISA (nzym-lnkd
More informationFakultät III Univ.-Prof. Dr. Jan Franke-Viebach
Unv.Prof. r. J. FrankVbach WS 067: Intrnatonal Economcs ( st xam prod) Unvrstät Sgn Fakultät III Unv.Prof. r. Jan FrankVbach Exam Intrnatonal Economcs Wntr Smstr 067 ( st Exam Prod) Avalabl tm: 60 mnuts
More informationΕρωτήσεις και ασκησεις Κεφ. 10 (για μόρια) ΠΑΡΑΔΟΣΗ 29/11/2016. (d)
Ερωτήσεις και ασκησεις Κεφ 0 (για μόρια ΠΑΡΑΔΟΣΗ 9//06 Th coffcnt A of th van r Waals ntracton s: (a A r r / ( r r ( (c a a a a A r r / ( r r ( a a a a A r r / ( r r a a a a A r r / ( r r 4 a a a a 0 Th
More informationCHAPTER 7d. DIFFERENTIATION AND INTEGRATION
CHAPTER 7d. DIFFERENTIATION AND INTEGRATION A. J. Clark School o Engnrng Dpartmnt o Cvl and Envronmntal Engnrng by Dr. Ibrahm A. Assakka Sprng ENCE - Computaton Mthods n Cvl Engnrng II Dpartmnt o Cvl and
More informationLecture 14. Relic neutrinos Temperature at neutrino decoupling and today Effective degeneracy factor Neutrino mass limits Saha equation
Lctur Rlc nutrnos mpratur at nutrno dcoupln and today Effctv dnracy factor Nutrno mass lmts Saha quaton Physcal Cosmoloy Lnt 005 Rlc Nutrnos Nutrnos ar wakly ntractn partcls (lptons),,,,,,, typcal ractons
More informationIntroduction to the Fourier transform. Computer Vision & Digital Image Processing. The Fourier transform (continued) The Fourier transform (continued)
Introduction to th Fourir transform Computr Vision & Digital Imag Procssing Fourir Transform Lt f(x) b a continuous function of a ral variabl x Th Fourir transform of f(x), dnotd by I {f(x)} is givn by:
More informationEEO 401 Digital Signal Processing Prof. Mark Fowler
EEO 401 Digital Signal Procssing Prof. Mark Fowlr Dtails of th ot St #19 Rading Assignmnt: Sct. 7.1.2, 7.1.3, & 7.2 of Proakis & Manolakis Dfinition of th So Givn signal data points x[n] for n = 0,, -1
More informationOutlier-tolerant parameter estimation
Outlr-tolrant paramtr stmaton Baysan thods n physcs statstcs machn larnng and sgnal procssng (SS 003 Frdrch Fraundorfr fraunfr@cg.tu-graz.ac.at Computr Graphcs and Vson Graz Unvrsty of Tchnology Outln
More informationProblem Set #2 Due: Friday April 20, 2018 at 5 PM.
1 EE102B Spring 2018 Signal Procssing and Linar Systms II Goldsmith Problm St #2 Du: Friday April 20, 2018 at 5 PM. 1. Non-idal sampling and rcovry of idal sampls by discrt-tim filtring 30 pts) Considr
More informationElectrochemical Equilibrium Electromotive Force. Relation between chemical and electric driving forces
C465/865, 26-3, Lctur 7, 2 th Sp., 26 lctrochmcal qulbrum lctromotv Forc Rlaton btwn chmcal and lctrc drvng forcs lctrochmcal systm at constant T and p: consdr G Consdr lctrochmcal racton (nvolvng transfr
More informationQuasi-Classical States of the Simple Harmonic Oscillator
Quasi-Classical Stats of th Simpl Harmonic Oscillator (Draft Vrsion) Introduction: Why Look for Eignstats of th Annihilation Oprator? Excpt for th ground stat, th corrspondnc btwn th quantum nrgy ignstats
More informationSlide 1. Slide 2. Slide 3 DIGITAL SIGNAL PROCESSING CLASSIFICATION OF SIGNALS
Slid DIGITAL SIGAL PROCESSIG UIT I DISCRETE TIME SIGALS AD SYSTEM Slid Rviw of discrt-tim signals & systms Signal:- A signal is dfind as any physical quantity that varis with tim, spac or any othr indpndnt
More informationNumbering Systems Basic Building Blocks Scaling and Round-off Noise. Number Representation. Floating vs. Fixed point. DSP Design.
Numbring Systms Basic Building Blocks Scaling and Round-off Nois Numbr Rprsntation Viktor Öwall viktor.owall@it.lth.s Floating vs. Fixd point In floating point a valu is rprsntd by mantissa dtrmining th
More informationCHAPTER 33: PARTICLE PHYSICS
Collg Physcs Studnt s Manual Chaptr 33 CHAPTER 33: PARTICLE PHYSICS 33. THE FOUR BASIC FORCES 4. (a) Fnd th rato of th strngths of th wak and lctromagntc forcs undr ordnary crcumstancs. (b) What dos that
More informationRelate p and T at equilibrium between two phases. An open system where a new phase may form or a new component can be added
4.3, 4.4 Phas Equlbrum Dtrmn th slops of th f lns Rlat p and at qulbrum btwn two phass ts consdr th Gbbs functon dg η + V Appls to a homognous systm An opn systm whr a nw phas may form or a nw componnt
More information8-node quadrilateral element. Numerical integration
Fnt Elmnt Mthod lctur nots _nod quadrlatral lmnt Pag of 0 -nod quadrlatral lmnt. Numrcal ntgraton h tchnqu usd for th formulaton of th lnar trangl can b formall tndd to construct quadrlatral lmnts as wll
More informationChapter 6 Folding. Folding
Chaptr 6 Folding Wintr 1 Mokhtar Abolaz Folding Th folding transformation is usd to systmatically dtrmin th control circuits in DSP architctur whr multipl algorithm oprations ar tim-multiplxd to a singl
More informationCOHORT MBA. Exponential function. MATH review (part2) by Lucian Mitroiu. The LOG and EXP functions. Properties: e e. lim.
MTH rviw part b Lucian Mitroiu Th LOG and EXP functions Th ponntial function p : R, dfind as Proprtis: lim > lim p Eponntial function Y 8 6 - -8-6 - - X Th natural logarithm function ln in US- log: function
More informationΑ complete processing methodology for 3D monitoring using GNSS receivers
7-5-5 NATIONA TECHNICA UNIVERSITY OF ATHENS SCHOO OF RURA AND SURVEYING ENGINEERING DEPARTMENT OF TOPOGRAPHY AORATORY OF GENERA GEODESY Α complt procssng mthodology for D montorng usng GNSS rcvrs Gorg
More informationFrom Structural Analysis to FEM. Dhiman Basu
From Structural Analyss to FEM Dhman Basu Acknowldgmnt Followng txt books wr consultd whl prparng ths lctur nots: Znkwcz, OC O.C. andtaylor Taylor, R.L. (000). Th FntElmnt Mthod, Vol. : Th Bass, Ffth dton,
More informationNON-SYMMETRY POWER IN THREE-PHASE SYSTEMS
O-YMMETRY OWER THREE-HAE YTEM Llana Marlna MATCA nvrsty of Orada, nvrstat str., no., 487, Orada; lmatca@uorada.ro Abstract. For thr-phas lctrcal systms, n non-symmtrcal stuaton, an analyz mthod costs on
More informationLinear-Phase FIR Transfer Functions. Functions. Functions. Functions. Functions. Functions. Let
It is impossibl to dsign an IIR transfr function with an xact linar-phas It is always possibl to dsign an FIR transfr function with an xact linar-phas rspons W now dvlop th forms of th linarphas FIR transfr
More informationACOUSTIC WAVE EQUATION. Contents INTRODUCTION BULK MODULUS AND LAMÉ S PARAMETERS
ACOUSTIC WAE EQUATION Contnts INTRODUCTION BULK MODULUS AND LAMÉ S PARAMETERS INTRODUCTION As w try to vsualz th arth ssmcally w mak crtan physcal smplfcatons that mak t asr to mak and xplan our obsrvatons.
More informationPolytropic Process. A polytropic process is a quasiequilibrium process described by
Polytropc Procss A polytropc procss s a quasqulbrum procss dscrbd by pv n = constant (Eq. 3.5 Th xponnt, n, may tak on any valu from to dpndng on th partcular procss. For any gas (or lqud, whn n = 0, th
More informationThe van der Waals interaction 1 D. E. Soper 2 University of Oregon 20 April 2012
Th van dr Waals intraction D. E. Sopr 2 Univrsity of Orgon 20 pril 202 Th van dr Waals intraction is discussd in Chaptr 5 of J. J. Sakurai, Modrn Quantum Mchanics. Hr I tak a look at it in a littl mor
More informationLecture 23 APPLICATIONS OF FINITE ELEMENT METHOD TO SCALAR TRANSPORT PROBLEMS
COMPUTTION FUID DYNMICS: FVM: pplcatons to Scalar Transport Prolms ctur 3 PPICTIONS OF FINITE EEMENT METHOD TO SCR TRNSPORT PROBEMS 3. PPICTION OF FEM TO -D DIFFUSION PROBEM Consdr th stady stat dffuson
More informationReview - Probabilistic Classification
Mmoral Unvrsty of wfoundland Pattrn Rcognton Lctur 8 May 5, 6 http://www.ngr.mun.ca/~charlsr Offc Hours: Tusdays Thursdays 8:3-9:3 PM E- (untl furthr notc) Gvn lablld sampls { ɛc,,,..., } {. Estmat Rvw
More informationEEC 686/785 Modeling & Performance Evaluation of Computer Systems. Lecture 12
EEC 686/785 Modlng & Prformanc Evaluaton of Computr Systms Lctur Dpartmnt of Elctrcal and Computr Engnrng Clvland Stat Unvrsty wnbng@.org (basd on Dr. Ra Jan s lctur nots) Outln Rvw of lctur k r Factoral
More information10/7/14. Mixture Models. Comp 135 Introduction to Machine Learning and Data Mining. Maximum likelihood estimation. Mixture of Normals in 1D
Comp 35 Introducton to Machn Larnng and Data Mnng Fall 204 rofssor: Ron Khardon Mxtur Modls Motvatd by soft k-mans w dvlopd a gnratv modl for clustrng. Assum thr ar k clustrs Clustrs ar not rqurd to hav
More informationVISUALIZATION OF DIFFERENTIAL GEOMETRY UDC 514.7(045) : : Eberhard Malkowsky 1, Vesna Veličković 2
FACTA UNIVERSITATIS Srs: Mchancs, Automatc Control Robotcs Vol.3, N o, 00, pp. 7-33 VISUALIZATION OF DIFFERENTIAL GEOMETRY UDC 54.7(045)54.75.6:59.688:59.673 Ebrhard Malkowsky, Vsna Vlčkovć Dpartmnt of
More informationFolding of Regular CW-Complexes
Ald Mathmatcal Scncs, Vol. 6,, no. 83, 437-446 Foldng of Rgular CW-Comlxs E. M. El-Kholy and S N. Daoud,3. Dartmnt of Mathmatcs, Faculty of Scnc Tanta Unvrsty,Tanta,Egyt. Dartmnt of Mathmatcs, Faculty
More informationRandom Process Part 1
Random Procss Part A random procss t (, ζ is a signal or wavform in tim. t : tim ζ : outcom in th sampl spac Each tim w rapat th xprimnt, a nw wavform is gnratd. ( W will adopt t for short. Tim sampls
More informationGroup Codes Define Over Dihedral Groups of Small Order
Malaysan Journal of Mathmatcal Scncs 7(S): 0- (0) Spcal Issu: Th rd Intrnatonal Confrnc on Cryptology & Computr Scurty 0 (CRYPTOLOGY0) MALAYSIA JOURAL OF MATHEMATICAL SCIECES Journal hompag: http://nspm.upm.du.my/ournal
More informationThe graph of y = x (or y = ) consists of two branches, As x 0, y + ; as x 0, y +. x = 0 is the
Copyright itutcom 005 Fr download & print from wwwitutcom Do not rproduc by othr mans Functions and graphs Powr functions Th graph of n y, for n Q (st of rational numbrs) y is a straight lin through th
More informationOptimal Ordering Policy in a Two-Level Supply Chain with Budget Constraint
Optmal Ordrng Polcy n a Two-Lvl Supply Chan wth Budgt Constrant Rasoul aj Alrza aj Babak aj ABSTRACT Ths papr consdrs a two- lvl supply chan whch consst of a vndor and svral rtalrs. Unsatsfd dmands n rtalrs
More informationBackground: We have discussed the PIB, HO, and the energy of the RR model. In this chapter, the H-atom, and atomic orbitals.
Chaptr 7 Th Hydrogn Atom Background: W hav discussd th PIB HO and th nrgy of th RR modl. In this chaptr th H-atom and atomic orbitals. * A singl particl moving undr a cntral forc adoptd from Scott Kirby
More informationThe Matrix Exponential
Th Matrix Exponntial (with xrciss) by D. Klain Vrsion 207.0.05 Corrctions and commnts ar wlcom. Th Matrix Exponntial For ach n n complx matrix A, dfin th xponntial of A to b th matrix A A k I + A + k!
More informationPerformance Evaluation of Filter-bank based Spectrum Estimator
Intrnatonal Journal of Modrn Engnrng Rsarch (IJMER www.jmr.com Vol., Issu., pp-47- I: 49-664 Prformanc Evaluaton of Fltr-bank basd pctrum Estmator M.Vnakatanarayana, Dr.T.Jayachandra Prasad Assoc. Prof,
More informationBinary Decision Diagram with Minimum Expected Path Length
Bnary Dcson Dagram wth Mnmum Expctd Path Lngth Y-Yu Lu Kuo-Hua Wang TngTng Hwang C. L. Lu Dpartmnt of Computr Scnc, Natonal Tsng Hua Unvrsty, Hsnchu 300, Tawan Dpt. of Computr Scnc and Informaton Engnrng,
More informationLogistic Regression I. HRP 261 2/10/ am
Logstc Rgrsson I HRP 26 2/0/03 0- am Outln Introducton/rvw Th smplst logstc rgrsson from a 2x2 tabl llustrats how th math works Stp-by-stp xampls to b contnud nxt tm Dummy varabls Confoundng and ntracton
More informationEEO 401 Digital Signal Processing Prof. Mark Fowler
EEO 401 Digital Signal Procssing Prof. Mark Fowlr ot St #18 Introduction to DFT (via th DTFT) Rading Assignmnt: Sct. 7.1 of Proakis & Manolakis 1/24 Discrt Fourir Transform (DFT) W v sn that th DTFT is
More informationTitle: Vibrational structure of electronic transition
Titl: Vibrational structur of lctronic transition Pag- Th band spctrum sn in th Ultra-Violt (UV) and visibl (VIS) rgions of th lctromagntic spctrum can not intrprtd as vibrational and rotational spctrum
More informationGEOMETRICAL PHENOMENA IN THE PHYSICS OF SUBATOMIC PARTICLES. Eduard N. Klenov* Rostov-on-Don, Russia
GEOMETRICAL PHENOMENA IN THE PHYSICS OF SUBATOMIC PARTICLES Eduard N. Klnov* Rostov-on-Don, Russia Th articl considrs phnomnal gomtry figurs bing th carrirs of valu spctra for th pairs of th rmaining additiv
More informationFrequency Correction
Chaptr 4 Frquncy Corrction Dariush Divsalar Ovr th yars, much ffort has bn spnt in th sarch for optimum synchronizion schms th ar robust and simpl to implmnt [1,2]. Ths schms wr drivd basd on maximum-liklihood
More informationElements of Statistical Thermodynamics
24 Elmnts of Statistical Thrmodynamics Statistical thrmodynamics is a branch of knowldg that has its own postulats and tchniqus. W do not attmpt to giv hr vn an introduction to th fild. In this chaptr,
More informationThe Matrix Exponential
Th Matrix Exponntial (with xrciss) by Dan Klain Vrsion 28928 Corrctions and commnts ar wlcom Th Matrix Exponntial For ach n n complx matrix A, dfin th xponntial of A to b th matrix () A A k I + A + k!
More informationEECE 301 Signals & Systems Prof. Mark Fowler
EECE 301 Signals & Systms Prof. Mark Fowlr ot St #21 D-T Signals: Rlation btwn DFT, DTFT, & CTFT 1/16 W can us th DFT to implmnt numrical FT procssing This nabls us to numrically analyz a signal to find
More informationFILTER BANK MULTICARRIER WITH LAPPED TRANSFORMS
FILTER BANK ULTICARRIER WITH LAPPED TRANSFORS aurc Bllagr, CNA Davd attra, aro Tada, Uv.Napol arch 5 Obctvs A multcarrr approach to mprov o OFD for futur wrlss systms - asychroous mult-usr accss - spctral
More informationCS 6353 Compiler Construction, Homework #1. 1. Write regular expressions for the following informally described languages:
CS 6353 Compilr Construction, Homwork #1 1. Writ rgular xprssions for th following informally dscribd languags: a. All strings of 0 s and 1 s with th substring 01*1. Answr: (0 1)*01*1(0 1)* b. All strings
More informationLaboratory associate professor Radu Damian Wednesday 12-14, II.12 odd weeks L 25% final grade P 25% final grade
ctur 8/9 C/, MDC Attndanc at mnmum 7 sssons (cours + laboratory) cturs- assocat profssor adu Daman Frday 9-,? III.34, II.3 E 5% fnal grad problms + (p attn. lct.) + (3 tsts) + (bonus actvty) 3p=+.5p all
More informationSupplementary Materials
6 Supplmntary Matrials APPENDIX A PHYSICAL INTERPRETATION OF FUEL-RATE-SPEED FUNCTION A truck running on a road with grad/slop θ positiv if moving up and ngativ if moving down facs thr rsistancs: arodynamic
More informationPhysics 256: Lecture 2. Physics
Physcs 56: Lctur Intro to Quantum Physcs Agnda for Today Complx Numbrs Intrfrnc of lght Intrfrnc Two slt ntrfrnc Dffracton Sngl slt dffracton Physcs 01: Lctur 1, Pg 1 Constructv Intrfrnc Ths wll occur
More informationHomework #3. 1 x. dx. It therefore follows that a sum of the
Danil Cannon CS 62 / Luan March 5, 2009 Homwork # 1. Th natural logarithm is dfind by ln n = n 1 dx. It thrfor follows that a sum of th 1 x sam addnd ovr th sam intrval should b both asymptotically uppr-
More informationFirst derivative analysis
Robrto s Nots on Dirntial Calculus Chaptr 8: Graphical analysis Sction First drivativ analysis What you nd to know alrady: How to us drivativs to idntiy th critical valus o a unction and its trm points
More informationCHAPTER 6 DESIGN OF THE PV-UPQC SYSTEM FOR LONG VOLTAGE INTERRUPTION COMPENSATION
125 CHAPTER 6 DESIGN OF THE PV-UPQC SYSTEM FOR LONG VOLTAGE INTERRUPTION COMPENSATION INTRODUCTION Cntralzd powr gnraton systms ar facng th dual constrants of shortag of fossl ful and th nd to rduc hazardous
More informationRobust surface-consistent residual statics and phase correction part 2
Robust surfac-consistnt rsidual statics and phas corrction part 2 Ptr Cary*, Nirupama Nagarajappa Arcis Sismic Solutions, A TGS Company, Calgary, Albrta, Canada. Summary In land AVO procssing, nar-surfac
More informationAuthentication Transmission Overhead Between Entities in Mobile Networks
0 IJCSS Intrnatonal Journal of Computr Scnc and twork Scurty, VO.6 o.b, March 2006 Authntcaton Transmsson Ovrhad Btwn Entts n Mobl tworks Ja afr A-Sararh and Sufan Yousf Faculty of Scnc and Tchnology,
More informationFilter Design Techniques
Fltr Dsgn chnqus Fltr Fltr s systm tht psss crtn frquncy componnts n totlly rcts ll othrs Stgs of th sgn fltr Spcfcton of th sr proprts of th systm ppromton of th spcfcton usng cusl scrt-tm systm Rlzton
More informationSection 6.1. Question: 2. Let H be a subgroup of a group G. Then H operates on G by left multiplication. Describe the orbits for this operation.
MAT 444 H Barclo Spring 004 Homwork 6 Solutions Sction 6 Lt H b a subgroup of a group G Thn H oprats on G by lft multiplication Dscrib th orbits for this opration Th orbits of G ar th right costs of H
More informationROOT SPECTRAL ESTIMATION FOR LOCATION BASED ON TOA
4th Europan Sgnal Procssng Confrnc (EUSIPCO 26), Flornc, Ital, Sptmbr 4-8, 26, coprght b EURASIP ROOT SPECTRAL ESTIATION FOR LOCATION BASED ON TOA Lus Blanco, Jord Srra, onts Nájar,2 Dp. of Sgnal Thor
More informationPropositional Logic. Combinatorial Problem Solving (CPS) Albert Oliveras Enric Rodríguez-Carbonell. May 17, 2018
Propositional Logic Combinatorial Problm Solving (CPS) Albrt Olivras Enric Rodríguz-Carbonll May 17, 2018 Ovrviw of th sssion Dfinition of Propositional Logic Gnral Concpts in Logic Rduction to SAT CNFs
More information18th European Signal Processing Conference (EUSIPCO-2010) Aalborg, Denmark, August 23-27, 2010
8th Europan Sgnal Procssng Conrnc EUSIPCO- Aalorg Dnmark August 3-7 EIGEFUCTIOS EIGEVALUES AD FRACTIOALIZATIO OF THE QUATERIO AD BIQUATERIO FOURIER TRASFORS Soo-Chang P Jan-Jun Dng and Kuo-W Chang Dpartmnt
More informationHeisenberg Model. Sayed Mohammad Mahdi Sadrnezhaad. Supervisor: Prof. Abdollah Langari
snbrg Modl Sad Mohammad Mahd Sadrnhaad Survsor: Prof. bdollah Langar bstract: n ths rsarch w tr to calculat analtcall gnvalus and gnvctors of fnt chan wth ½-sn artcls snbrg modl. W drov gnfuctons for closd
More informationCommunication Technologies
Communication Tchnologis. Principls of Digital Transmission. Structur of Data Transmission.2 Spctrum of a Data Signal 2. Digital Modulation 2. Linar Modulation Mthods 2.2 Nonlinar Modulations (CPM-Signals)
More informationDynamic Behavior of Current Controllers for Selective Harmonic Compensation in Three-phase Active Power Filters
Dynamc Bhaor of Currnt Controllrs for Slct Harmonc Compnsaton n Thr-phas Act Powr Fltrs Frnando Brz, Pablo García, Mchal W. Dgnr, Dad Díaz-Rgosa, Juan Manul Gurrro Unrsty of Odo, Dpt. of Elc., Computr
More informationHydrogen Atom and One Electron Ions
Hydrogn Atom and On Elctron Ions Th Schrödingr quation for this two-body problm starts out th sam as th gnral two-body Schrödingr quation. First w sparat out th motion of th cntr of mass. Th intrnal potntial
More informationAbstract Interpretation: concrete and abstract semantics
Abstract Intrprtation: concrt and abstract smantics Concrt smantics W considr a vry tiny languag that manags arithmtic oprations on intgrs valus. Th (concrt) smantics of th languags cab b dfind by th funzcion
More informationDecentralized Adaptive Control and the Possibility of Utilization of Networked Control System
Dcntralzd Adaptv Control and th Possblty of Utlzaton of Ntworkd Control Systm MARIÁN ÁRNÍK, JÁN MURGAŠ Slovak Unvrsty of chnology n Bratslava Faculty of Elctrcal Engnrng and Informaton chnology Insttut
More informationStrongly Connected Components
Strongly Connctd Componnts Lt G = (V, E) b a dirctd graph Writ if thr is a path from to in G Writ if and is an quivalnc rlation: implis and implis s quivalnc classs ar calld th strongly connctd componnts
More informationON THE COMPLEXITY OF K-STEP AND K-HOP DOMINATING SETS IN GRAPHS
MATEMATICA MONTISNIRI Vol XL (2017) MATEMATICS ON TE COMPLEXITY OF K-STEP AN K-OP OMINATIN SETS IN RAPS M FARAI JALALVAN AN N JAFARI RA partmnt of Mathmatcs Shahrood Unrsty of Tchnology Shahrood Iran Emals:
More informationBetter Performance of New Generation of Digital Video Broadcasting-terrestrial (DVB-T2) Using Alamouti scheme with Cyclic Delay Diversity
Bttr Prformanc of w Gnraton of Dgtal Vdo Broadcastng-trrstral (DVB-) Usng Alamout scm wt Cyclc Dlay Dvrsty Bnam Abaran* Dpartmnt of Elctrcal Engnrng, Yadgar-- Imam Komn (RAH) Branc, Islamc Azad Unvrsty,
More informationE hf. hf c. 2 2 h 2 2 m v f ' f 2f ' f cos c
EXPERIMENT 9: COMPTON EFFECT Rlatd Topics Intractions of photons with lctrons, consrvation of momntum and nrgy, inlastic and lastic scattring, intraction cross sction, Compton wavlngth. Principl Whn photons
More informationby log b, the natural logarithm by ln. The Kronecker product of two matrices is denoted by Ω.
00 Confrnc on Informaton Scncs and Systms, Th Johns Hopkns Unvrsty, March, 00 Cohrnt Multusr Spac-Tm Communcatons: Optmum Rcvrs and Sgnal Dsgn Matthas Brhlr and Mahsh K. Varanas -mal: fbrhlr, varanasg@dsp.colorado.du
More information