Reconstruction of transient vibration and sound radiation of an impacted plate
|
|
- Michael Charles
- 5 years ago
- Views:
Transcription
1 INTE-NOIE 06 econsrucon of rnsen vbron nd sound rdon of n mpced ple Ln en ; Chun-Xn B ; Xo-Zhen Zhn ; Yon-Bn Zhn 4 ; Ln Xu 5,,,4,5 Insue of ound nd Vbron eserch, efe Unversy of Technoloy, 9 Tunx od, efe 0009, People s epublc of Chn ABTACT Ths pper presens n expermenl pplcon of he nerpoled me domn equvlen source mehod bsed rnsen ner-feld cousc holorphy for reconsrucn he rnsen pressure feld rded by n mpced ple nd he norml cceleron of he ple. In hs mehod, he pressure feld rded by he ple s frs modeled by se of equvlen sources posoned behnd he ple, nd hen he equvlen source srenhs ech me sep re solved by n erve solvn process nd re en s he npu o reconsruc he whole pressure feld nd he norml cceleron of he ple. An expermen of clmped recnulr seel ple mpced by seel bll s presened. The expermenl resuls demonsre h he proposed mehod s powerful ool o vsulze he rnsen vbron nd sound rdon of n mpced ple n boh he me nd spce domns. eywords: Tme domn equvlen source mehod; Trnsen ner-feld cousc holorphy; mpced ple I-INCE Clssfcon of ubecs Numbers: 4.. INTODUCTION The rnsen nose rded by mpced srucures, e.. rven nd hmmern, no only dsurbs he lvn of resdens round, bu lso brns hern mprmen o worers, nd herefore hs re enneern snfcnce o sudy hs ype of nose. nce he ple s smple srucure encounered n ndusry, lo of wor hs focused on he rnsen sound rdon from n mpced ple -. Usully, cceleromeers ched o he ple re used o mesure he norml cceleron of he ple, vn he boundry condon for furher nlyzn he rnsen sound rdon. owever, he dded mss of he cceleromeers chnes he modes of vbron nd sound rdon of he ple o cern exen, especlly for hn ple. As non-conc mesuremen echnque, nerfeld cousc holorphy NA 4, 5 cn vod hs chne by mesurn he cousc qunes rded by he ple nd reconsrucn he whole sound feld ndrecly. Especlly, he me domn NA s very useful ool for sudyn rnsen vbron nd sound rdon of n mpced ple. Bls e l.6, 7 nroduced numercl Lplce rnsform o replce Fourer rnsform n me domn holorphy TD 8 for nvesn he forwrd nd bcwrd proecons of he rnsen sound rdon from n mpced ple by mesurn he ner-feld pressure. They use n expermen wh n mpced, free Plexls ple o prove h Lplce rnsform bsed TD cn mprove he precson of recovern rnsen pressure, cceleron nd velocy snls. Oher me domn mehods lso hve he cpcy o reconsruc he rnsen sound rdon from n mpced ple, such s rel-me nerfeld cousc holorphy 9, me domn plne wve superposon mehod 0, rnsen elmholz equon les squres mehod, me domn ner-feld equvlence source mn mehod nd me domn boundry elemen mehod. ecenly, he nerpoled me domn equvlen source mehod TD-EM 4 bsed rnsen NA s presened o reconsruc he rnsen sound feld rded by n rbrrly-shped body. I enln007055@6.com cxb@hfu.edu.cn xzhenzhn@hfu.edu.cn 4 ybzhn@hfu.edu.cn 5 hf_xl07@6.com 75
2 INTE-NOIE 06 crres ou he reconsrucon drecly n boh he me nd spce domns, nd no Fourer nd Lplce rnsforms re needed n hs mehod. owever, he mehod s only exmned by smulon cse wh he reconsrucon of rnsen pressure feld. In hs pper, he mehod s furher developed no only o reconsruc he rnsen pressure feld rded by n mpced ple, bu lso o reconsruc he norml cceleron of he ple for cqurn n overll undersndn of s vbron nd sound rdon modes, nd lso wll be verfed expermenlly.. OUTLINE OF TE POPOED METOD Fure Ple n he Cresn coordne sysem o x, y, z nd b eomerc descrpon of he ple plne, he holorm plne nd he equvlen source plne E. As shown n F., ple wh he lenh of plced n he Cresn coordne sysem x, y, z L x, he wdh of Ly nd he hcness of h s o. A seel bll mpcs he ple he pon x, y 0 0 rdn rnsen sound feld. Fure b shows he eomery of he ple plne, he holorm plne nd he equvlen source plne E. There re M pons dsrbued on he plne, L mesuremen pons dsrbued on he plne nd equvlen sources plced on he plne E. Accordn o he TD-EM, he pressure p l he lh pon on he plne nd he norml cceleron m he mh pon on he plne ny me cn be expressed, respecvely, s 5 p l q l / c, l m vm n q q / c c / c, where he sers denoes he convoluon of wo me funcons, c s he sound velocy, s he medum densy, n s he un norml vecor of he plne, s he Drc Del funcon, s he evsde funcon, q s he h equvlen source srenh he me, l s he dsnce beween he lh mesuremen pon on he plne nd he h equvlen source, nd beween he mh pon on he plne nd he h equvlen source. By sen he rerded me rewren, respecvely, s c nd c l l / / s he dsnce, Eqs. nd cn be 754
3 INTE-NOIE 06 p l q l, l m vm The me s dscrezed by n q q c. 4 0, 5 where,,, I, I s he ol number of me seps, A he me, he rerded me re s he me sep, nd 0 s he nl me. c nd c, respecvely. l l / / ere, new me coordne s defned, n whch boh l nd re loced. A he rerded me, he h equvlen source srenh q s nerpoled s where q q, 6 q s he h equvlen source srenh he me Lrne nerpolon funcon, whch s ven by,,, I, nd s he, ;, ; 7 0, oherwse. The dervves of he equvlen source srenh nd he Lrne nerpolon funcon wh respec o he me cn be expressed, respecvely, by q q, 8, ;, ; 0, oherwse. The subsuon of Eq. 6 no Eq., yelds pl l q. 0 Equon 0 s he nerpoled formulon of he pressure. mlrly, he nerpoled formulon of he norml cceleron m cn be expressed by l p l 9 755
4 m q. where c n. Accordn o Eqs. 0 nd, he pressures ll L mesuremen pons on he plne nd he norml ccelerons ll M reconsrucon pons on he plne he me cn be expressed, respecvely, by p p p p P, A, 4 where T L p p p P, 5 T M A, 6 T q q q, 7 L L L L L L p, 8 M M M. 9 By nvern Eq., he equvlen source srenhs he me cn be obned by. p p p p P 0 Equon 0 provdes n erve solvn process for deermnn he equvlen source srenhs ech me sep by he pressure mesured on he holorm plne. The sndrd Thonov reulrzon 6 s ppled n he solvn process ech me sep o obn he ppropre equvlen source srenhs. The solved equvlen source srenhs ech me sep cn hen be en s he npu n Eq. 4 for clculn he norml cceleron of he ple. mlrly, he pressure ny feld pon ech me sep cn lso be clculed by usn he solved equvlen source srenhs s he npu. INTE-NOIE
5 INTE-NOIE 06. EXPEIMENT Fure Expermenl seup: mcrophone rry, seel ple, pendulum, elecromne nd rer cceleromeer. The expermen ws crred ou n sem-nechoc chmber s shown n F.. A clmped seel ple wh he sze of 0.45 m 0.45 m ws mpced by seel bll o enere rnsen sound feld. An cceleromeer fxed on he bc of he ple ws se s he rer o cve he mcrophone rry recordn he pressure nformon nd noher cceleromeer recordn he norml cceleron nformon. Fure eomerc descrpon of he ple plne, he reconsrucon plne, he mesuremen plne, nd he equvlen source plne E. Four pons,, nd 4 re seleced for comprson, mred wh he symbol +. Fure shows he poson relonshps beween he ple plne, he reconsrucon plne, he holorm plne nd he equvlen source plne E. 5 5 pons were dsrbued on he plnes,,, nd E, nd he rd spce ws 0. m n boh x nd y drecons. The equvlen source plne E ws loced z m. The snl ws smpled frequency f 5.6 z provdn 8 smpln pons. e. econsrucon of he pressure feld In he expermen, he rry wh 5 5 mcrophones ws used o cqure he pressures on he holorm plne wh z 0.0 m. z 0.0 m nd he reconsrucon plne wh h For ssessn he resuls reconsruced n he me domn, four spce pons on he plne were chosen s shown n F. 4 nd her posons were 0. m, 0.4 m, 0.0 m, 0. m, 0. m, 0.0 m, 0. m, 0. m, 0.0 m, nd m, 0. m, 0.0 m, respecvely. Fure 4 shows h he reconsruced pressures hese four pons re n ood reemen wh her mesured vlues. Three me nsns wh.99 ms,.4 ms nd e r.5 ms were chosen o evlue he reconsruced resuls n he spce domn. The mesured pressure felds hese hree me nsns re shown n Fs. 5, 5b nd 5c, respecvely, nd he reconsruced pressure felds re shown n Fs. 5d, 5e nd 5f, 757
6 INTE-NOIE 06 respecvely. I cn be seen h he pressure felds vry wh he me. I s lso obvous h he pressure felds reconsruced by he proposed mehod re lmos he sme s he mesured ones, whch ndces h he proposed mehod cn be used o vsulze rnsen sound felds rded by n mpced ple effecvely dfferen me nsns. Fure 4 Tme domn wveform comprsons beween he mesured pressures sold lne nd he reconsruced pressures doed lne four pons 0. m, 0.4 m, 0.0 m, b 0. m, 0. m, 0.0 m, c 0. m, 0. m, 0.0 m nd d m, 0. m, 0.0 m. Fure 5 pl dsrbuons of he mesured pressures.99 ms, b.4 ms nd c.5 ms versus he reconsruced pressures d.99 ms, e.4 ms nd f on he reconsrucon plne..5 ms. econsrucon of he norml cceleron of he ple In he expermen, he pressure mesured on he holorm plne wh zh 0.0 m ws used o 758
7 INTE-NOIE 06 reconsruc he norml cceleron on he ple plne wh z s 0 m, nd he norml cceleron on he ple plne ws lso mesured by one cceleromeer o serve s he rue vlue for comprson. Fure 6 Tme domn wveform comprsons beween he mesured norml ccelerons sold lne nd he reconsruced norml ccelerons doed lne he four pons 0. m, 0.4 m, 0 m, b 0. m, 0. m, 0 m, c 0. m, 0.m, 0 m nd d m, 0. m, 0 m. Fure 7 pl dsrbuons of he mesured norml ccelerons.99 ms, b.4 ms nd c.5 ms versus he reconsruced norml ccelerons d.99 ms, e.4 ms nd f.5 ms on he ple plne. Jus s he reconsrucon of he pressure feld, four pons 0. m, 0.4 m, 0 m, 0. m, 0. m, 0 m, 0. m, 0. m, 0 m, nd m, 0. m, 0 m were chosen o show he comprsons beween he me domn cceleron wveforms reconsruced by he proposed mehod nd hose mesured vlues, 759
8 INTE-NOIE 06 s shown n F. 6. I cn be seen h he reconsruced norml ccelerons hose four pons re close o her mesured vlues. Fnlly, he comprsons beween he norml ccelerons reconsruced by he proposed mehod nd hose mesured he sme me nsns wh.99 ms,.4 ms nd.5 ms re shown n F. 7, whch demonsres h he proposed mehod cn lso vsulze he rnsen norml cceleron dsrbuon on he ple plne effecvely. 4. CONCLUION The nerpoled TD-EM bsed rnsen NA ws ppled o relze he reconsrucon of he rnsen vbron nd sound rdon of n mpced ple. The reconsrucon formuls of boh he pressure rded by he ple nd he norml cceleron of he ple were deduced by pplyn he Lrne nerpolon o equvlen source srenhs. An expermen wh n mpced seel ple s he source ws crred ou o vlde he proposed mehod. The expermenl resuls demonsre h he mehod no only cn be used o reconsruc he rnsen pressure snls nd he rnsen norml cceleron snls drecly n he me domn, bu lso cn be used o vsulze boh he pressure nd norml cceleron modes of he ple n he spce domn. In prculr, he norml cceleron of he ple s obned by non-conc mesuremen n he proposed mehod, nd herefore s ble o vod he dded mss effec ssoced wh he norml cceleron mesured drecly by he cceleromeer. ACNOWLEDEMENT Ths wor ws suppored by Nonl Nurl cence Foundon of Chn rn Nos nd EFEENCE. Ay A, Lch M. ound rdon from n mpc-exced clmped crculr ple n n nfne bffle. J Acous oc Am. 98;74: Troccz P, Woodcoc, Lvlle F. Acousc rdon due o he nelsc mpc of sphere on recnulr ple. J Acous oc Am. 000;085: Chne A, Lmbour C. Tme-domn smulon of dmped mpced ples. I. Theory nd expermens. J Acous oc Am. 00;094: Mynrd JD, Wllms E, Lee Y. Nerfeld cousc holorphy: I. Theory of enerlzed holorphy nd he developmen of NA. J Acous oc Am. 985;784: Verones WA, Mynrd JD. Nerfeld cousc holorphy NA II. olorphc reconsrucon lorhms nd compuer mplemenon. J Acous oc Am. 987;85: Bls JF, oss A. Forwrd proecon of rnsen sound pressure felds rded by mpced ples usn numercl Lplce rnsform. J Acous oc Am. 009;55: Bls JF, oss A. Bcwrd propon of sound felds rded by mpced ples usn rnsen couscl holorphy pproch. Proc INTE-NOIE 8; -6 Auus 009; Ow, Cnd ld J. Tme domn couscl holorphy nd s pplcons. ound nd Vbron. 00;5: Thoms J, ruler V, Pllsseur, Pscl JC, oux JCL. el-me ner-feld cousc holorphy for connuously vsulzn nonsonry cousc felds. J Acous oc Am. 00;86: Zhn XZ, Thoms J, B CX, Pscl JC. econsrucon of nonsonry sound felds bsed on he me domn plne wve superposon mehod. J Acous oc Am. 0;4: Wu F, Lu, nd Bw M. econsrucon of rnsen cousc rdon from sphere. J Acous oc Am. 005;74: B M, Ln J. ource denfcon sysem bsed on he me-domn nerfeld equvlence source mn: Fundmenl heory nd mplemenon. J ound Vb. 007;07: Jn W, Ih J. blzon of me domn cousc boundry elemen mehod for he exeror problem vodn he nonunqueness. J Acous oc Am. 0;: Zhn XZ, B CX, Zhn YB, Xu L. Trnsen nerfeld cousc holorphy bsed on n nerpoled me-domn equvlen source mehod. J Acous oc Am. 0;0: ropp W, vensson UP. Tme domn formulon of he mehod of equvlen sources. Ac Acusc. 995;: Wllms E. eulrzon mehods for ner-feld couscl holorphy. J Acous oc Am. 00;04:
Introduction. Voice Coil Motors. Introduction - Voice Coil Velocimeter Electromechanical Systems. F = Bli
UNIVERSITY O TECHNOLOGY, SYDNEY ACULTY O ENGINEERING 4853 Elecroechncl Syses Voce Col Moors Topcs o cover:.. Mnec Crcus 3. EM n Voce Col 4. orce n Torque 5. Mhecl Moel 6. Perornce Voce cols re wely use
More informationSupporting information How to concatenate the local attractors of subnetworks in the HPFP
n Effcen lgorh for Idenfyng Prry Phenoype rcors of Lrge-Scle Boolen Newor Sng-Mo Choo nd Kwng-Hyun Cho Depren of Mhecs Unversy of Ulsn Ulsn 446 Republc of Kore Depren of Bo nd Brn Engneerng Kore dvnced
More informatione t dt e t dt = lim e t dt T (1 e T ) = 1
Improper Inegrls There re wo ypes of improper inegrls - hose wih infinie limis of inegrion, nd hose wih inegrnds h pproch some poin wihin he limis of inegrion. Firs we will consider inegrls wih infinie
More informationPhysics 201 Lecture 2
Physcs 1 Lecure Lecure Chper.1-. Dene Poson, Dsplcemen & Dsnce Dsngush Tme nd Tme Inerl Dene Velocy (Aerge nd Insnneous), Speed Dene Acceleron Undersnd lgebrclly, hrough ecors, nd grphclly he relonshps
More informationAcoustic and flexural wave energy conservation for a thin plate in a fluid
cousc nd fleurl wve energy conservon for hn ple n flud rryl MCMHON 1 Mrme vson efence Scence nd Technology Orgnson HMS Srlng W usrl STRCT lhough he equons of fleurl wve moon for hn ple n vcuum nd flud
More informationMacroscopic quantum effects generated by the acoustic wave in a molecular magnet
Cudnovsky-Fes-09034 Mcroscopc qunum effecs genered by e cousc wve n moleculr mgne Gwng-Hee Km ejong Unv., Kore Eugene M. Cudnovksy Lemn College, CUNY Acknowledgemens D. A. Grnn Lemn College, CUNY Oulne
More informationJordan Journal of Physics
Volume, Number, 00. pp. 47-54 RTICLE Jordn Journl of Physcs Frconl Cnoncl Qunzon of he Free Elecromgnec Lgrngn ensy E. K. Jrd, R. S. w b nd J. M. Khlfeh eprmen of Physcs, Unversy of Jordn, 94 mmn, Jordn.
More informationNormal Random Variable and its discriminant functions
Noral Rando Varable and s dscrnan funcons Oulne Noral Rando Varable Properes Dscrnan funcons Why Noral Rando Varables? Analycally racable Works well when observaon coes for a corruped snle prooype 3 The
More informationElectromagnetic Transient Simulation of Large Power Transformer Internal Fault
Inernonl Conference on Advnces n Energy nd Envronmenl Scence (ICAEES 5) Elecromgnec Trnsen Smulon of rge Power Trnsformer Inernl Ful Jun u,, Shwu Xo,, Qngsen Sun,c, Huxng Wng,d nd e Yng,e School of Elecrcl
More informationSeptember 20 Homework Solutions
College of Engineering nd Compuer Science Mechnicl Engineering Deprmen Mechnicl Engineering A Seminr in Engineering Anlysis Fll 7 Number 66 Insrucor: Lrry Creo Sepember Homework Soluions Find he specrum
More informationA NEW INTERPRETATION OF INTERVAL-VALUED FUZZY INTERIOR IDEALS OF ORDERED SEMIGROUPS
ScInLhore),7),9-37,4 ISSN 3-536; CODEN: SINTE 8 9 A NEW INTERPRETATION O INTERVAL-VALUED UZZY INTERIOR IDEALS O ORDERED SEMIGROUPS Hdy Ullh Khn, b, Nor Hnz Srmn, Asghr Khn c nd z Muhmmd Khn d Deprmen of
More informationCalculus 241, section 12.2 Limits/Continuity & 12.3 Derivatives/Integrals notes by Tim Pilachowski r r r =, with a domain of real ( )
Clculu 4, econ Lm/Connuy & Devve/Inel noe y Tm Plchow, wh domn o el Wh we hve o : veco-vlued uncon, ( ) ( ) ( ) j ( ) nume nd ne o veco The uncon, nd A w done wh eul uncon ( x) nd connuy e he componen
More informationAdvanced Electromechanical Systems (ELE 847)
(ELE 847) Dr. Smr ouro-rener Topc 1.4: DC moor speed conrol Torono, 2009 Moor Speed Conrol (open loop conrol) Consder he followng crcu dgrm n V n V bn T1 T 5 T3 V dc r L AA e r f L FF f o V f V cn T 4
More informationReview: Transformations. Transformations - Viewing. Transformations - Modeling. world CAMERA OBJECT WORLD CSE 681 CSE 681 CSE 681 CSE 681
Revew: Trnsforons Trnsforons Modelng rnsforons buld cople odels b posonng (rnsforng sple coponens relve o ech oher ewng rnsforons plcng vrul cer n he world rnsforon fro world coordnes o cer coordnes Perspecve
More informationEpistemic Game Theory: Online Appendix
Epsemc Game Theory: Onlne Appendx Edde Dekel Lucano Pomao Marcano Snscalch July 18, 2014 Prelmnares Fx a fne ype srucure T I, S, T, β I and a probably µ S T. Le T µ I, S, T µ, βµ I be a ype srucure ha
More informationMotion Feature Extraction Scheme for Content-based Video Retrieval
oon Feure Exrcon Scheme for Conen-bsed Vdeo Rerevl Chun Wu *, Yuwen He, L Zho, Yuzhuo Zhong Deprmen of Compuer Scence nd Technology, Tsnghu Unversy, Bejng 100084, Chn ABSTRACT Ths pper proposes he exrcon
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
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 information1.B Appendix to Chapter 1
Secon.B.B Append o Chper.B. The Ordnr Clcl Here re led ome mporn concep rom he ordnr clcl. The Dervve Conder ncon o one ndependen vrble. The dervve o dened b d d lm lm.b. where he ncremen n de o n ncremen
More informationBackground and Motivation: Importance of Pressure Measurements
Imornce of Pressre Mesremens: Pressre s rmry concern for mny engneerng lcons e.g. lf nd form drg. Cvon : Pressre s of fndmenl mornce n ndersndng nd modelng cvon. Trblence: Velocy-Pressre-Grden ensor whch
More informationII The Z Transform. Topics to be covered. 1. Introduction. 2. The Z transform. 3. Z transforms of elementary functions
II The Z Trnsfor Tocs o e covered. Inroducon. The Z rnsfor 3. Z rnsfors of eleenry funcons 4. Proeres nd Theory of rnsfor 5. The nverse rnsfor 6. Z rnsfor for solvng dfference equons II. Inroducon The
More information4.8 Improper Integrals
4.8 Improper Inegrls Well you ve mde i hrough ll he inegrion echniques. Congrs! Unforunely for us, we sill need o cover one more inegrl. They re clled Improper Inegrls. A his poin, we ve only del wih inegrls
More information( ) [ ] MAP Decision Rule
Announcemens Bayes Decson Theory wh Normal Dsrbuons HW0 due oday HW o be assgned soon Proec descrpon posed Bomercs CSE 90 Lecure 4 CSE90, Sprng 04 CSE90, Sprng 04 Key Probables 4 ω class label X feaure
More informationMODELLING AND EXPERIMENTAL ANALYSIS OF MOTORCYCLE DYNAMICS USING MATLAB
MODELLING AND EXPERIMENTAL ANALYSIS OF MOTORCYCLE DYNAMICS USING MATLAB P. Florn, P. Vrání, R. Čermá Fculy of Mechncl Engneerng, Unversy of Wes Bohem Asrc The frs pr of hs pper s devoed o mhemcl modellng
More informationIn 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 informationTHE EXISTENCE OF SOLUTIONS FOR A CLASS OF IMPULSIVE FRACTIONAL Q-DIFFERENCE EQUATIONS
Europen Journl of Mhemcs nd Compuer Scence Vol 4 No, 7 SSN 59-995 THE EXSTENCE OF SOLUTONS FOR A CLASS OF MPULSVE FRACTONAL Q-DFFERENCE EQUATONS Shuyun Wn, Yu Tng, Q GE Deprmen of Mhemcs, Ynbn Unversy,
More informationThe Characterization of Jones Polynomial. for Some Knots
Inernon Mhemc Forum,, 8, no, 9 - The Chrceron of Jones Poynom for Some Knos Mur Cncn Yuuncu Y Ünversy, Fcuy of rs nd Scences Mhemcs Deprmen, 8, n, Turkey m_cencen@yhoocom İsm Yr Non Educon Mnsry, 8, n,
More informationInterval Estimation. Consider a random variable X with a mean of X. Let X be distributed as X X
ECON 37: Ecoomercs Hypohess Tesg Iervl Esmo Wh we hve doe so fr s o udersd how we c ob esmors of ecoomcs reloshp we wsh o sudy. The queso s how comforble re we wh our esmors? We frs exme how o produce
More informationVariants of Pegasos. December 11, 2009
Inroducon Varans of Pegasos SooWoong Ryu bshboy@sanford.edu December, 009 Youngsoo Cho yc344@sanford.edu Developng a new SVM algorhm s ongong research opc. Among many exng SVM algorhms, we wll focus on
More informationSolution 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 informationII. Light is a Ray (Geometrical Optics)
II Lgh s a Ray (Geomercal Opcs) IIB Reflecon and Refracon Hero s Prncple of Leas Dsance Law of Reflecon Hero of Aleandra, who lved n he 2 nd cenury BC, posulaed he followng prncple: Prncple of Leas Dsance:
More informationCS434a/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 informationContraction Mapping Principle Approach to Differential Equations
epl Journl of Science echnology 0 (009) 49-53 Conrcion pping Principle pproch o Differenil Equions Bishnu P. Dhungn Deprmen of hemics, hendr Rn Cmpus ribhuvn Universiy, Khmu epl bsrc Using n eension of
More informationCubic Bezier Homotopy Function for Solving Exponential Equations
Penerb Journal of Advanced Research n Compung and Applcaons ISSN (onlne: 46-97 Vol. 4, No.. Pages -8, 6 omoopy Funcon for Solvng Eponenal Equaons S. S. Raml *,,. Mohamad Nor,a, N. S. Saharzan,b and M.
More informationANOTHER CATEGORY OF THE STOCHASTIC DEPENDENCE FOR ECONOMETRIC MODELING OF TIME SERIES DATA
Tn Corn DOSESCU Ph D Dre Cner Chrsn Unversy Buchres Consnn RAISCHI PhD Depren of Mhecs The Buchres Acdey of Econoc Sudes ANOTHER CATEGORY OF THE STOCHASTIC DEPENDENCE FOR ECONOMETRIC MODELING OF TIME SERIES
More informationMathematics 805 Final Examination Answers
. 5 poins Se he Weiersrss M-es. Mhemics 85 Finl Eminion Answers Answer: Suppose h A R, nd f n : A R. Suppose furher h f n M n for ll A, nd h Mn converges. Then f n converges uniformly on A.. 5 poins Se
More informationDirect 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 informationRotations.
oons j.lbb@phscs.o.c.uk To s summ Fmes of efeence Invnce une nsfomons oon of wve funcon: -funcons Eule s ngles Emple: e e - - Angul momenum s oon geneo Genec nslons n Noehe s heoem Fmes of efeence Conse
More informationDepartment of Economics University of Toronto
Deparmen of Economcs Unversy of Torono ECO408F M.A. Economercs Lecure Noes on Heeroskedascy Heeroskedascy o Ths lecure nvolves lookng a modfcaons we need o make o deal wh he regresson model when some of
More information( ) () 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 informationModeling and Predicting Sequences: HMM and (may be) CRF. Amr Ahmed Feb 25
Modelg d redcg Sequeces: HMM d m be CRF Amr Ahmed 070 Feb 25 Bg cure redcg Sgle Lbel Ipu : A se of feures: - Bg of words docume - Oupu : Clss lbel - Topc of he docume - redcg Sequece of Lbels Noo Noe:
More informationOptimal Paired Choice Block Designs. Supplementary Material
Saisica Sinica: Supplemen Opimal Paired Choice Block Designs Rakhi Singh 1, Ashish Das 2 and Feng-Shun Chai 3 1 IITB-Monash Research Academy, Mumbai, India 2 Indian Insiue of Technology Bombay, Mumbai,
More informationNew M-Estimator Objective Function. in Simultaneous Equations Model. (A Comparative Study)
Inernaonal Mahemacal Forum, Vol. 8, 3, no., 7 - HIKARI Ld, www.m-hkar.com hp://dx.do.org/.988/mf.3.3488 New M-Esmaor Objecve Funcon n Smulaneous Equaons Model (A Comparave Sudy) Ahmed H. Youssef Professor
More informationLecture 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 informationHEAT 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 informationSimplified Variance Estimation for Three-Stage Random Sampling
Deprmen of ppled Sscs Johnnes Kepler Unversy Lnz IFS Reserch Pper Seres 04-67 Smplfed rnce Esmon for Three-Sge Rndom Smplng ndres Quember Ocober 04 Smplfed rnce Esmon for Three-Sge Rndom Smplng ndres Quember
More informationV.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 informationLinear 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 informationVersion 001 test-1 swinney (57010) 1. is constant at m/s.
Version 001 es-1 swinne (57010) 1 This prin-ou should hve 20 quesions. Muliple-choice quesions m coninue on he nex column or pge find ll choices before nswering. CubeUniVec1x76 001 10.0 poins Acubeis1.4fee
More informationSOME USEFUL MATHEMATICS
SOME USEFU MAHEMAICS SOME USEFU MAHEMAICS I is esy o mesure n preic he behvior of n elecricl circui h conins only c volges n currens. However, mos useful elecricl signls h crry informion vry wih ime. Since
More information2.1 Constitutive Theory
Secon.. Consuve Theory.. Consuve Equaons Governng Equaons The equaons governng he behavour of maerals are (n he spaal form) dρ v & ρ + ρdv v = + ρ = Conservaon of Mass (..a) d x σ j dv dvσ + b = ρ v& +
More informationLet 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 informationCH.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 informationf t f a f x dx By Lin McMullin f x dx= f b f a. 2
Accumulion: Thoughs On () By Lin McMullin f f f d = + The gols of he AP* Clculus progrm include he semen, Sudens should undersnd he definie inegrl s he ne ccumulion of chnge. 1 The Topicl Ouline includes
More informationA Simple Method to Solve Quartic Equations. Key words: Polynomials, Quartics, Equations of the Fourth Degree INTRODUCTION
Ausrlin Journl of Bsic nd Applied Sciences, 6(6): -6, 0 ISSN 99-878 A Simple Mehod o Solve Quric Equions Amir Fhi, Poo Mobdersn, Rhim Fhi Deprmen of Elecricl Engineering, Urmi brnch, Islmic Ad Universi,
More informationPHY2053 Summer C 2013 Exam 1 Solutions
PHY053 Sue C 03 E Soluon. The foce G on o G G The onl cobnon h e '/ = doubln.. The peed of lh le 8fulon c 86,8 le 60 n 60n h 4h d 4d fonh.80 fulon/ fonh 3. The dnce eled fo he ene p,, 36 (75n h 45 The
More informationMinimum Squared Error
Minimum Squred Error LDF: Minimum Squred-Error Procedures Ide: conver o esier nd eer undersood prolem Percepron y i > for ll smples y i solve sysem of liner inequliies MSE procedure y i = i for ll smples
More informationIntroduction. Section 9: HIGHER ORDER TWO DIMENSIONAL SHAPE FUNCTIONS
Secon 9: HIGHER ORDER TWO DIMESIO SHPE FUCTIOS Inroducon We ne conder hpe funcon for hgher order eleen. To do h n n orderl fhon we nroduce he concep of re coordne. Conder ere of rngulr eleen depced n he
More informationMinimum Squared Error
Minimum Squred Error LDF: Minimum Squred-Error Procedures Ide: conver o esier nd eer undersood prolem Percepron y i > 0 for ll smples y i solve sysem of liner inequliies MSE procedure y i i for ll smples
More informationMotion. Part 2: Constant Acceleration. Acceleration. October Lab Physics. Ms. Levine 1. Acceleration. Acceleration. Units for Acceleration.
Moion Accelerion Pr : Consn Accelerion Accelerion Accelerion Accelerion is he re of chnge of velociy. = v - vo = Δv Δ ccelerion = = v - vo chnge of velociy elpsed ime Accelerion is vecor, lhough in one-dimensionl
More informationIncluding the ordinary differential of distance with time as velocity makes a system of ordinary differential equations.
Soluons o Ordnary Derenal Equaons An ordnary derenal equaon has only one ndependen varable. A sysem o ordnary derenal equaons consss o several derenal equaons each wh he same ndependen varable. An eample
More informationEEM 486: Computer Architecture
EEM 486: Compuer Archecure Lecure 4 ALU EEM 486 MIPS Arhmec Insrucons R-ype I-ype Insrucon Exmpe Menng Commen dd dd $,$2,$3 $ = $2 + $3 sub sub $,$2,$3 $ = $2 - $3 3 opernds; overfow deeced 3 opernds;
More informationLecture 18: The Laplace Transform (See Sections and 14.7 in Boas)
Lecure 8: The Lalace Transform (See Secons 88- and 47 n Boas) Recall ha our bg-cure goal s he analyss of he dfferenal equaon, ax bx cx F, where we emloy varous exansons for he drvng funcon F deendng on
More informationPhysics 2A HW #3 Solutions
Chper 3 Focus on Conceps: 3, 4, 6, 9 Problems: 9, 9, 3, 41, 66, 7, 75, 77 Phsics A HW #3 Soluions Focus On Conceps 3-3 (c) The ccelerion due o grvi is he sme for boh blls, despie he fc h he hve differen
More informationRESPONSE UNDER A GENERAL PERIODIC FORCE. When the external force F(t) is periodic with periodτ = 2π
RESPONSE UNDER A GENERAL PERIODIC FORCE When he exernl force F() is periodic wih periodτ / ω,i cn be expnded in Fourier series F( ) o α ω α b ω () where τ F( ) ω d, τ,,,... () nd b τ F( ) ω d, τ,,... (3)
More informationFURTHER GENERALIZATIONS. QI Feng. The value of the integral of f(x) over [a; b] can be estimated in a variety ofways. b a. 2(M m)
Univ. Beogrd. Pul. Elekroehn. Fk. Ser. M. 8 (997), 79{83 FUTHE GENEALIZATIONS OF INEQUALITIES FO AN INTEGAL QI Feng Using he Tylor's formul we prove wo inegrl inequliies, h generlize K. S. K. Iyengr's
More information2D Motion WS. A horizontally launched projectile s initial vertical velocity is zero. Solve the following problems with this information.
Nme D Moion WS The equions of moion h rele o projeciles were discussed in he Projecile Moion Anlsis Acii. ou found h projecile moes wih consn eloci in he horizonl direcion nd consn ccelerion in he ericl
More informationReinforcement Learning for a New Piano Mover s Problem
Renforcemen Lernng for New Pno Mover s Problem Yuko ISHIWAKA Hkode Nonl College of Technology, Hkode, Hokkdo, Jpn Tomohro YOSHIDA Murorn Insue of Technology, Murorn, Hokkdo, Jpn nd Yuknor KAKAZU Reserch
More informationAppendix 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 informationFM Applications of Integration 1.Centroid of Area
FM Applicions of Inegrion.Cenroid of Are The cenroid of ody is is geomeric cenre. For n ojec mde of uniform meril, he cenroid coincides wih he poin which he ody cn e suppored in perfecly lnced se ie, is
More informationOnline Supplement for Dynamic Multi-Technology. Production-Inventory Problem with Emissions Trading
Onlne Supplemen for Dynamc Mul-Technology Producon-Invenory Problem wh Emssons Tradng by We Zhang Zhongsheng Hua Yu Xa and Baofeng Huo Proof of Lemma For any ( qr ) Θ s easy o verfy ha he lnear programmng
More informationThe solution is often represented as a vector: 2xI + 4X2 + 2X3 + 4X4 + 2X5 = 4 2xI + 4X2 + 3X3 + 3X4 + 3X5 = 4. 3xI + 6X2 + 6X3 + 3X4 + 6X5 = 6.
[~ o o :- o o ill] i 1. Mrices, Vecors, nd Guss-Jordn Eliminion 1 x y = = - z= The soluion is ofen represened s vecor: n his exmple, he process of eliminion works very smoohly. We cn elimine ll enries
More informationPolymerization 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 informationFTCS 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 informationBLOWUPS IN GAUGE AND CONSTRAINT MODES. Bernd Reimann, AEI in collaboration with M. Alcubierre, ICN (Mexico)
BLOWUPS IN GAUGE AND CONSTRAINT MODES Bernd Remnn, AEI n ollboron M. Aluberre, ICN (Mexo) Jen, Jnury 30, 006 1 Tops Pologes ( soks nd bloups ) n sysems of PDEs Te soure rer for vodng bloups Evoluon Sysem:
More informationENGR 1990 Engineering Mathematics The Integral of a Function as a Function
ENGR 1990 Engineering Mhemics The Inegrl of Funcion s Funcion Previously, we lerned how o esime he inegrl of funcion f( ) over some inervl y dding he res of finie se of rpezoids h represen he re under
More informationLaplace Transform. Definition of Laplace Transform: f(t) that satisfies The Laplace transform of f(t) is defined as.
Lplce Trfor The Lplce Trfor oe of he hecl ool for olvg ordry ler dfferel equo. - The hoogeeou equo d he prculr Iegrl re olved oe opero. - The Lplce rfor cover he ODE o lgerc eq. σ j ple do. I he pole o
More informationDynamic 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 informationA Kalman filtering simulation
A Klmn filering simulion The performnce of Klmn filering hs been esed on he bsis of wo differen dynmicl models, ssuming eiher moion wih consn elociy or wih consn ccelerion. The former is epeced o beer
More information5th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2015)
5h Inernaonal onference on Advanced Desgn and Manufacurng Engneerng (IADME 5 The Falure Rae Expermenal Sudy of Specal N Machne Tool hunshan He, a, *, La Pan,b and Bng Hu 3,c,,3 ollege of Mechancal and
More informationT-Match: Matching Techniques For Driving Yagi-Uda Antennas: T-Match. 2a s. Z in. (Sections 9.5 & 9.7 of Balanis)
3/0/018 _mch.doc Pge 1 of 6 T-Mch: Mching Techniques For Driving Ygi-Ud Anenns: T-Mch (Secions 9.5 & 9.7 of Blnis) l s l / l / in The T-Mch is shun-mching echnique h cn be used o feed he driven elemen
More informationON THE WEAK LIMITS OF SMOOTH MAPS FOR THE DIRICHLET ENERGY BETWEEN MANIFOLDS
ON THE WEA LIMITS OF SMOOTH MAPS FOR THE DIRICHLET ENERGY BETWEEN MANIFOLDS FENGBO HANG Absrac. We denfy all he weak sequenal lms of smooh maps n W (M N). In parcular, hs mples a necessary su cen opologcal
More information0 for t < 0 1 for t > 0
8.0 Sep nd del funcions Auhor: Jeremy Orloff The uni Sep Funcion We define he uni sep funcion by u() = 0 for < 0 for > 0 I is clled he uni sep funcion becuse i kes uni sep = 0. I is someimes clled he Heviside
More informationTHE 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 informationPhysics 120 Spring 2007 Exam #1 April 20, Name
Phc 0 Spng 007 E # pl 0, 007 Ne P Mulple Choce / 0 Poble # / 0 Poble # / 0 Poble # / 0 ol / 00 In eepng wh he Unon College polc on cdec hone, ued h ou wll nehe ccep no pode unuhozed nce n he copleon o
More informationProperties of Logarithms. Solving Exponential and Logarithmic Equations. Properties of Logarithms. Properties of Logarithms. ( x)
Properies of Logrihms Solving Eponenil nd Logrihmic Equions Properies of Logrihms Produc Rule ( ) log mn = log m + log n ( ) log = log + log Properies of Logrihms Quoien Rule log m = logm logn n log7 =
More informationChapter 2 Linear Mo on
Chper Lner M n .1 Aerge Velcy The erge elcy prcle s dened s The erge elcy depends nly n he nl nd he nl psns he prcle. Ths mens h prcle srs rm pn nd reurn bck he sme pn, s dsplcemen, nd s s erge elcy s
More informationINVESTIGATION OF HABITABILITY INDICES OF YTU GULET SERIES IN VARIOUS SEA STATES
Brodogrdnj/Shpuldng Volume 65 Numer 3, 214 Ferd Ckc Muhsn Aydn ISSN 7-215X eissn 1845-5859 INVESTIGATION OF HABITABILITY INDICES OF YTU GULET SERIES IN VARIOUS SEA STATES UDC 629.5(5) Professonl pper Summry
More informationClustering (Bishop ch 9)
Cluserng (Bshop ch 9) Reference: Daa Mnng by Margare Dunham (a slde source) 1 Cluserng Cluserng s unsupervsed learnng, here are no class labels Wan o fnd groups of smlar nsances Ofen use a dsance measure
More informationOrdinary 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 informationRelative controllability of nonlinear systems with delays in control
Relave conrollably o nonlnear sysems wh delays n conrol Jerzy Klamka Insue o Conrol Engneerng, Slesan Techncal Unversy, 44- Glwce, Poland. phone/ax : 48 32 37227, {jklamka}@a.polsl.glwce.pl Keywor: Conrollably.
More informationAdvanced time-series analysis (University of Lund, Economic History Department)
Advanced me-seres analss (Unvers of Lund, Economc Hsor Dearmen) 3 Jan-3 Februar and 6-3 March Lecure 4 Economerc echnues for saonar seres : Unvarae sochasc models wh Box- Jenns mehodolog, smle forecasng
More information10. A.C CIRCUITS. Theoretically current grows to maximum value after infinite time. But practically it grows to maximum after 5τ. Decay of current :
. A. IUITS Synopss : GOWTH OF UNT IN IUIT : d. When swch S s closed a =; = d. A me, curren = e 3. The consan / has dmensons of me and s called he nducve me consan ( τ ) of he crcu. 4. = τ; =.63, n one
More informationrank Additionally system of equation only independent atfect Gawp (A) possible ( Alb ) easily process form rang A. Proposition with Definition
Defiion nexivnol numer ler dependen rows mrix sid row Gwp elimion mehod does no fec h numer end process i possile esily red rng fc for mrix form der zz rn rnk wih m dcussion i holds rr o Proposiion ler
More informationGo over vector and vector algebra Displacement and position in 2-D Average and instantaneous velocity in 2-D Average and instantaneous acceleration
Mh Csquee Go oe eco nd eco lgeb Dsplcemen nd poson n -D Aege nd nsnneous eloc n -D Aege nd nsnneous cceleon n -D Poecle moon Unfom ccle moon Rele eloc* The componens e he legs of he gh ngle whose hpoenuse
More informationPanel Data Regression Models
Panel Daa Regresson Models Wha s Panel Daa? () Mulple dmensoned Dmensons, e.g., cross-secon and me node-o-node (c) Pongsa Pornchawseskul, Faculy of Economcs, Chulalongkorn Unversy (c) Pongsa Pornchawseskul,
More informationMODEL SOLUTIONS TO IIT JEE ADVANCED 2014
MODEL SOLUTIONS TO IIT JEE ADVANCED Pper II Code PART I 6 7 8 9 B A A C D B D C C B 6 C B D D C A 7 8 9 C A B D. Rhc(Z ). Cu M. ZM Secon I K Z 8 Cu hc W mu hc 8 W + KE hc W + KE W + KE W + KE W + KE (KE
More informationA Specification Test for Linear Dynamic Stochastic General Equilibrium Models
Journal of Saisical and Economeric Mehods, vol.1, no.2, 2012, 65-70 ISSN: 2241-0384 (prin), 2241-0376 (online) Scienpress Ld, 2012 A Specificaion Tes for Linear Dynamic Sochasic General Equilibrium Models
More informationCHAPTER 7: CLUSTERING
CHAPTER 7: CLUSTERING Semparamerc Densy Esmaon 3 Paramerc: Assume a snge mode for p ( C ) (Chapers 4 and 5) Semparamerc: p ( C ) s a mure of denses Mupe possbe epanaons/prooypes: Dfferen handwrng syes,
More informationTrack Properities of Normal Chain
In. J. Conemp. Mah. Scences, Vol. 8, 213, no. 4, 163-171 HIKARI Ld, www.m-har.com rac Propes of Normal Chan L Chen School of Mahemacs and Sascs, Zhengzhou Normal Unversy Zhengzhou Cy, Hennan Provnce, 4544,
More informationRobust and Accurate Cancer Classification with Gene Expression Profiling
Robus and Accurae Cancer Classfcaon wh Gene Expresson Proflng (Compuaonal ysems Bology, 2005) Auhor: Hafeng L, Keshu Zhang, ao Jang Oulne Background LDA (lnear dscrmnan analyss) and small sample sze problem
More information