COMPLEX SIMULATION MODEL OF MOBILE FADING CHANNEL

Size: px
Start display at page:

Download "COMPLEX SIMULATION MODEL OF MOBILE FADING CHANNEL"

Transcription

1 Advaes i Eletrial ad Eletroi Egieerig 194 COMPLEX SIMULATION MODEL OF MOBILE FADING CHANNEL Toáš Marek, Vladiír Pšeák, Vladiír Wieser Elektrotehiká fakulta ŽU v Žilie, Siees PSE, s.r.o Veký diel, Žilia, tel.: , ail: wieser@fel.ut.sk, arek@fel.ut.sk, vladiir.pseak@siees.o Suary I the obile ouiatio eviroet the obile hael is the ai liitig obstale to reah the best perforae of wireless syste. Modelig of the radio hael osists of two basi fadig ehaiss - Log-ter fadig ad Short-ter fadig. The otributio deals with siulatio of oplex obile radio hael, whih is the hael with all fadig opoets. Siulatio odel is based o Clarke-Gas theoretial odel for fadig hael ad is developed i MATLAB eviroet. Siulatio results have show very good oiidee with theory. This odel was developed for hybrid adaptatio 3G uplik siulator (desribed i this issue) durig the researh projet VEGA - 1/0140/ INTRODUCTION The eviroet of obile ouiatio etworks is haraterized by differet orphology, e.g. the ope outaieerig or flat area, suburbs with low buildigs, tow eter with high-rise adiistratio buildigs [4]. Two basi types of fadig ifluee the sigal trasferred through obile hael: 1. Log-ter fadig idued by two ehaiss: Path-loss ad shadow fadig.. Short-ter fadig idued also by two ehaiss: Multipath propagatio ad Doppler spread. These partiular fadigs are illustrated i Fig.1. Reeived sigal power Reeived sigal Path-loss Distae fro trasitter Shadow fadig Short-ter fadig Fig.1. Log-ter ad short-ter fadig. Let s defie the reeived sigal as ( t) = L x( t τ) y, (1) where τ is the ea ultipath delay, x(t) is the trasitted wavefor, L is the geeral loss o the trasitted path ad its value depeds o three ifluees: Distae betwee trasitter ad reeiver path loss L PL, Shadowig betwee trasitter ad reeiver shadowig loss L SL, Short-ter sigal flutuatios short-ter fadig loss L STL. So, L a be expressed as jφ L = LPL LSL LSTL e, () where Φ is the sigal phase.. COMPLEX SIMULATION MODEL For purposes of obile etwork siulatios we have realized the oplex siulatio odel of obile hael i MATLAB eviroet. Our oplex siulatio odel osists of three parts log-ter sigal variatios (path loss ad shadow loss) ad short-ter fadig (e.g. Rayleigh fadig). The log-ter effets are odeled by ultiplyig bloks i the fig.7. We have used two ETSI path loss odels [3]: Path Loss Model for Outdoor to Idoor ad Pedestria Test Eviroet, where the path loss L PL is expressed by L PL ( R) + 30log ( ) 49 [ db] L PL = 40log10 10 f +, (3) = 40 1 where R is the base statio obile statio separatio (k), f is the arrier frequey for UMTS appliatio (000 MHz). The odel is valid for o-lie-of-sight (NLOS) oditios ad desribes worse ase propagatio. Log-oral shadow fadig stadard deviatio of 10 db a be expeted. This odel we have used oly for pedestria eviroet. Path Loss Model for Vehiular Test Eviroet is appliable for the test searios i urba ad suburba areas outside the high rise buildigs where these are of early uifor height. 3 ( 4 10 hb ) log( R) 18log( hb ) ( f ) + 80 [ db] + 1log +, (4) where R is the base statio obile statio separatio (k), f is the sae as above, h b is the base statio atea height, easured fro the average rooftop level. For sipliity we have fixed base statio atea height at 15 ad the forula beoes: ( ) [ db] L PL = 18,1 + 37,6 log R. (5)

2 195 Coplex siulatio odel of obile fadig hael Log-oral shadow fadig with 10dB stadard deviatio is assued i both urba ad suburba areas. The short-ter effet is odeled by hael ipulse respose odel based o a tapped-delay lie odel. The uber of taps, the tie delay relative to the first tap, the average power relative to the strogest tap, ad the Doppler spetru of eah tap haraterize the odel. Beause the easureets i outdoor eviroet showed that rs delay spread σ a vary over a order of agitude [3] ad this delay spread variability aot be aptured usig a sigle tapped delay lie, up to two ultipath haels are defied for eah test eviroet. Chael A is the low delay spread ase that ours frequetly, hael B is the edia delay spread ase that also ours frequetly. Tap Tab.1 Pedestria Test Eviroet Paraeters. Delay (s) Chael A Power (db) Chael B Delay (s) Power (db) Tab. Vehiular Test Eviroet Paraeters (High atea). Tap Delay (s) Chael A Power (db) Delay (s) Chael B Power (db) For siulatio of short-ter fadig we assue the odel developed by Clarke [1] whih is based o fixed trasitter with vertially polarized atea ad obile reeiver with field oprised of N plae waves with arbitrary arrier phases, arbitrary aziuthal agles of arrival ad eah havig equal average aplitude. Every wave reeived by the obile udergoes a Doppler shift due to the otio of the reeiver ad arrives at the reeiver at the sae tie. That is, o exess delay due to ultipath is assued for ay of waves (flat fadig). Doppler shift for -th wave arrivig at a agle α is give by f v = os α, (6) λ where v is the veloity of obile ad λ is the wavelegth of the iidet wave. The vertially polarized waves arrivig at the obile have E ad H field opoets. The E field a be expressed i a i-phase ad quadrature for where ad ( t) os( πf t) T ( t) si( πf t) E = T T T s N ( t) = E C ( πf t + Φ ) 0 = 1 N s, (7) os (8) ( t) = E C ( πf t + Φ ) 0 = 1 si. (9) Both T (t) ad T s (t) are Gaussia rado proesses whih are deoted as T ad T s, respetively. These are uorrelated zero-ea Gaussia rado variables with a equal variae T s z = = T = E E, (10) 0 where the overbar deotes the eseble average. The evelope of the reeived E-field, E z (t), is give by E ( t) = T ( t) + T ( t) r( t) z s =. (11) Sie T ad T s are Gaussia rado variables it a be show that the rado reeived sigal evelope r has a Rayleigh distributio give by r r exp 0 r p ( r) = σ σ. (1) 0 r < 0 Gas developed a spetru aalysis for Clarke s odel. The reeived power fro agle dα (i the ase of isotropi atea) is deoted p(α)dα ad the atea gai (fro that agle) G(α). Tha the total reeived power (beause of the great uber of travelig paths, N ) is give by π 0 P r = G( α) p( α) dα. (13) Fro Gas s aalysis iplies that the spetru is etered o the arrier frequey f ad is zero outside liits of f ± f, where f is the axiu Doppler shift. Eah of the arrivig waves has its ow arrier frequey, whih is slightly offset fro the eter frequey. The resultat value of the reeived sigal power spetral desity a be expressed by

3 Advaes i Eletrial ad Eletroi Egieerig 196 S ( f ) = G( α) p( α). (14) f f f 1 f For the ase of a vertial λ/4 atea ad a uifor distributio p(α) = 1/(π) over 0 to π, the output spetru is give by 1,5 S E z ( f ) =. (15) f f πf 1 f I equatio (15) the power spetral desity at f = f ± f is ifiite, i.e., Doppler opoets arrivig at exatly 0 ad 180 have a ifiite power spetral desity. Fig. shows the power spetral desity (Doppler spetru) of the resultig RF sigal for the value f = 100 Hz (MATLAB siulatio). 3. SIMULATION OF CLARKE-GANS MODEL Siulatio ethod uses the oept of i-phase ad quadrature odulatio paths to produe a siulated sigal with eeded spetral ad teporal harateristis. Two idepedet Gaussia low pass oise soures are used to produe two odulatio paths. Suig two idepedet Gaussia rado variables, whih are orthogoal, fors eah Gaussia soure. SEz(f) f - f Fig.. Doppler spetru for f = 100 Hz. f f + f With the spetral filter defied by (15) to shape the rado sigals i the frequey doai, we a produe the aurate tie doai wavefors of Doppler fadig by usig a IFFT (Iverse Fast Fourier Trasfor). Sith s algorith [] is to be used to realize this siulatio: 1. Speify the uber of spetral poits N for Doppler filter represetatio ( f ) S z E ad the axiu Doppler frequey shift f.. Copute the frequey spaig betwee adjaet spetral lies f = f /(N-1). This defies the duratio of fadig T = 1/ f. 3. Geerate oplex Gaussia rado variables for eah of the N/ positive frequey opoets of the oise soure. 4. Costrut the egative frequey opoets of the oise soure by ojugatig positive frequey values ad assigig these at egative frequey values. 5. Multiply the i-phase ad quadrature oise soures by fadig spetru ( f ) SE z. 6. Perfor a IFFT o the resultig frequey doai sigal ad opute the su of the squares of eah sigal. Take the square root of the su to obtai N poit tie series of a siulated Rayleigh fadig sigal. Several Rayleigh fadig siulators with variable gais ad tie delays are used to produe frequey seletive fadig. I our siulatio of obile fadig hael we have used odified Sith s algorith for short-ter fadig siulatio (oe brah): 1. We have speified the uber of spetral poits to N =16.. I eah brah it is used the Gaussia oise geerator with low frequey to obtai rado sigal aplitudes (i tie doai). 3. The followig FFT blok trasfors sigal to frequey doai so we get deaded spetral lies with the rado aplitude i positive ad egative frequeies. 4. The odified Doppler filter is tha applied (at edge poits the value of ifiitive is replaed by value of 1). 5. The ext poits are exatly the sae as i Sith s algorith, i.e. IFFT ad oputatio of a absolute value fro both brahes. The Rayleigh fadig siulator for oe brah of ultipath fadig hael is i Fig.3. Several Rayleigh fadig siulators have bee used i ojutio with variable gais ad tie delays (Tables 1, ) to produe frequey seletive fadig effets. This is show i Fig.7.

4 197 Coplex siulatio odel of obile fadig hael Fig.3. Rayleigh fadig siulator for oe brah of ultipath fadig hael. 4. SIMULATION RESULTS Our siulatio results are show i fig.4 6. We have preseted here oly B haels, beause of their ore daagig effet o trasitted sigal. Chaels have bee odeled with the sae iitial seed of paraeters. To opare these wavefors we have prologed siulatio to se. Fro both fig. 6 ad 7 short ter fadig ad shadowig fadig are visible, ad the great satterig property of the vehiular hael is obvious. Loss (db) Tie (s) Fig.4. Short ter fadig for Pedestria B hael Loss (db) Tie (s) Fig.5. Short ter fadig for Vehiular B hael

5 Advaes i Eletrial ad Eletroi Egieerig 198 Fig.6. Short ter fadig for Vehiular B hael (seget of 50s) Rayleigh 1 Rayleigh Rayleigh 3 Rayleigh 4 Fig. 7. Rayleigh fadig siulator for four brahes of ultipath fadig hael. 5. CONCLUSION Coplex fadig hael for two eviroets (pedestria ad vehiular) has bee odeled. Model osists i three ai fadig ehaiss, i.e. log-ter fadig, idued by two ehaiss: path-loss fadig ad shadow fadig ad short-ter fadig, idued also by two ehaiss: ultipath propagatio ad Doppler spread. As theoretial odel for short-ter fadig we have hose the Clarke-Gas odel prepared for oputer siulatio by Sith. Our oplex fadig odel akes possible to siulate all three fadig ehaiss i oe MATLAB -file. Siulatio has show very good oiidee with the theoretial odel.

6 199 Coplex siulatio odel of obile fadig hael REFERENCES [1] Clarke, R.H.: A Statistial Theory of Mobileradio Reeptio. I: Bell Systes Tehial Joural, Vol. 47, 1968, s [] Sith, J.I.: A Coputer Geerated Multipath Fadig Siulatio for Mobile Radio. IEEE Trasatios o Vehiular Tehology, Vol.VT-4, No.3, August 1975, s [3] Tehial Report ETSI: UMTS: Seletio Proedures for the Choie of Radio Trasissio Tehologies of the UMTS. TR V3..0 ( ), s [4] Doboš,.: Measureet of Radio Lik Paraeters. Vyžiadaá predáška predeseá 1. Júla 001 a Uiverzite Reggio Di Calabria (3h).

Chapter 4: Angle Modulation

Chapter 4: Angle Modulation 57 Chapter 4: Agle Modulatio 4.1 Itrodutio to Agle Modulatio This hapter desribes frequey odulatio (FM) ad phase odulatio (PM), whih are both fors of agle odulatio. Agle odulatio has several advatages

More information

MC-CDMA Systems with Uplink and Downlink Receivers over Fading Channels

MC-CDMA Systems with Uplink and Downlink Receivers over Fading Channels MC-CDMA ystes with Uplik ad Dowlik Reeivers over Fadig Chaels MIH HUG LE ad IKO E. MAORAKI hool of Egieerig ad Idustrial Desig Uiversity of Wester ydey eod Aveue Kigswood 747..W. AURALIA Departet of Coputer

More information

Research on Fuzzy Clustering Image Segmentation Algorithm based on GA and Gray Histogram Baoyi Wang1, a, Long Kang1, b, Shaomin Zhang1, c

Research on Fuzzy Clustering Image Segmentation Algorithm based on GA and Gray Histogram Baoyi Wang1, a, Long Kang1, b, Shaomin Zhang1, c 3rd Iteratioal Coferee o Mahiery, Materials ad Iforatio Tehology Appliatios (ICMMITA 05 Researh o Fuzzy Clusterig Iage Segetatio Algorith based o GA ad Gray Histogra Baoyi Wag, a, Log Kag, b, Shaoi Zhag,

More information

3GPP TR V ( )

3GPP TR V ( ) Techical Report 3rd Geeratio Partership Project; Techical Specificatio Group Radio Access Network; Spatial chael odel for Multiple Iput Multiple Output (MIMO) siulatios () The preset docuet has bee developed

More information

ME203 Section 4.1 Forced Vibration Response of Linear System Nov 4, 2002 (1) kx c x& m mg

ME203 Section 4.1 Forced Vibration Response of Linear System Nov 4, 2002 (1) kx c x& m mg ME3 Setio 4.1 Fored Vibratio Respose of Liear Syste Nov 4, Whe a liear ehaial syste is exited by a exteral fore, its respose will deped o the for of the exitatio fore F(t) ad the aout of dapig whih is

More information

Chapter 2. Asymptotic Notation

Chapter 2. Asymptotic Notation Asyptotic Notatio 3 Chapter Asyptotic Notatio Goal : To siplify the aalysis of ruig tie by gettig rid of details which ay be affected by specific ipleetatio ad hardware. [1] The Big Oh (O-Notatio) : It

More information

EL 675 UHF Propagation for Modern Wireless Systems. Henry L. Bertoni Polytechnic University

EL 675 UHF Propagation for Modern Wireless Systems. Henry L. Bertoni Polytechnic University EL 675 UHF Propagatio for Moder Wireless Systems Hery L. Bertoi Polytechic Uiversity otext for Discussig Wireless hael haracteristics Frequecies above ~ 300 MHz (λ < m) adio liks i ma-made eviromets At

More information

Observer Design with Reduced Measurement Information

Observer Design with Reduced Measurement Information Observer Desig with Redued Measuremet Iformatio I pratie all the states aot be measured so that SVF aot be used Istead oly a redued set of measuremets give by y = x + Du p is available where y( R We assume

More information

THE MEASUREMENT OF THE SPEED OF THE LIGHT

THE MEASUREMENT OF THE SPEED OF THE LIGHT THE MEASUREMENT OF THE SPEED OF THE LIGHT Nyamjav, Dorjderem Abstrat The oe of the physis fudametal issues is a ature of the light. I this experimet we measured the speed of the light usig MihelsoÕs lassial

More information

Lecture 19. Curve fitting I. 1 Introduction. 2 Fitting a constant to measured data

Lecture 19. Curve fitting I. 1 Introduction. 2 Fitting a constant to measured data Lecture 9 Curve fittig I Itroductio Suppose we are preseted with eight poits of easured data (x i, y j ). As show i Fig. o the left, we could represet the uderlyig fuctio of which these data are saples

More information

Homework 6: Forced Vibrations Due Friday April 6, 2018

Homework 6: Forced Vibrations Due Friday April 6, 2018 EN40: Dyais ad Vibratios Hoework 6: Fored Vibratios Due Friday April 6, 018 Shool of Egieerig Brow Uiversity 1. The vibratio isolatio syste show i the figure has 0kg, k 19.8 kn / 1.59 kns / If the base

More information

Chapter 9 Computation of the Discrete. Fourier Transform

Chapter 9 Computation of the Discrete. Fourier Transform Chapter 9 Coputatio of the Discrete Fourier Trasfor Itroductio Efficiet Coputatio of the Discrete Fourier Trasfor Goertzel Algorith Deciatio-I-Tie FFT Algoriths Deciatio-I-Frequecy FFT Algoriths Ipleetatio

More information

Birth-Death Processes. Outline. EEC 686/785 Modeling & Performance Evaluation of Computer Systems. Relationship Among Stochastic Processes.

Birth-Death Processes. Outline. EEC 686/785 Modeling & Performance Evaluation of Computer Systems. Relationship Among Stochastic Processes. EEC 686/785 Modelig & Perforace Evaluatio of Couter Systes Lecture Webig Zhao Deartet of Electrical ad Couter Egieerig Clevelad State Uiversity webig@ieee.org based o Dr. Raj jai s lecture otes Relatioshi

More information

Acoustic Field inside a Rigid Cylinder with a Point Source

Acoustic Field inside a Rigid Cylinder with a Point Source Acoustic Field iside a Rigid Cylider with a Poit Source 1 Itroductio The ai objectives of this Deo Model are to Deostrate the ability of Coustyx to odel a rigid cylider with a poit source usig Coustyx

More information

Statistics and Data Analysis in MATLAB Kendrick Kay, February 28, Lecture 4: Model fitting

Statistics and Data Analysis in MATLAB Kendrick Kay, February 28, Lecture 4: Model fitting Statistics ad Data Aalysis i MATLAB Kedrick Kay, kedrick.kay@wustl.edu February 28, 2014 Lecture 4: Model fittig 1. The basics - Suppose that we have a set of data ad suppose that we have selected the

More information

(s)h(s) = K( s + 8 ) = 5 and one finite zero is located at z 1

(s)h(s) = K( s + 8 ) = 5 and one finite zero is located at z 1 ROOT LOCUS TECHNIQUE 93 should be desiged differetly to eet differet specificatios depedig o its area of applicatio. We have observed i Sectio 6.4 of Chapter 6, how the variatio of a sigle paraeter like

More information

SYNTHESIS OF SIGNAL USING THE EXPONENTIAL FOURIER SERIES

SYNTHESIS OF SIGNAL USING THE EXPONENTIAL FOURIER SERIES SYNTHESIS OF SIGNAL USING THE EXPONENTIAL FOURIER SERIES Sadro Adriao Fasolo ad Luiao Leoel Medes Abstrat I 748, i Itrodutio i Aalysi Ifiitorum, Leohard Euler (707-783) stated the formula exp( jω = os(

More information

The Binomial Multi-Section Transformer

The Binomial Multi-Section Transformer 4/15/2010 The Bioial Multisectio Matchig Trasforer preset.doc 1/24 The Bioial Multi-Sectio Trasforer Recall that a ulti-sectio atchig etwork ca be described usig the theory of sall reflectios as: where:

More information

Wavelet Transform Theory. Prof. Mark Fowler Department of Electrical Engineering State University of New York at Binghamton

Wavelet Transform Theory. Prof. Mark Fowler Department of Electrical Engineering State University of New York at Binghamton Wavelet Trasfor Theory Prof. Mark Fowler Departet of Electrical Egieerig State Uiversity of New York at Bighato What is a Wavelet Trasfor? Decopositio of a sigal ito costituet parts Note that there are

More information

Note that the argument inside the second square root is always positive since R L > Z 0. The series reactance can be found as

Note that the argument inside the second square root is always positive since R L > Z 0. The series reactance can be found as Ipedace Matchig Ipedace Matchig Itroductio Ipedace atchig is the process to atch the load to a trasissio lie by a atchig etwork, as depicted i Fig Recall that the reflectios are eliiated uder the atched

More information

The Hypergeometric Coupon Collection Problem and its Dual

The Hypergeometric Coupon Collection Problem and its Dual Joural of Idustrial ad Systes Egieerig Vol., o., pp -7 Sprig 7 The Hypergeoetric Coupo Collectio Proble ad its Dual Sheldo M. Ross Epstei Departet of Idustrial ad Systes Egieerig, Uiversity of Souther

More information

Queueing Theory II. Summary. M/M/1 Output process Networks of Queue Method of Stages. General Distributions

Queueing Theory II. Summary. M/M/1 Output process Networks of Queue Method of Stages. General Distributions Queueig Theory II Suary M/M/1 Output process Networks of Queue Method of Stages Erlag Distributio Hyperexpoetial Distributio Geeral Distributios Ebedded Markov Chais 1 M/M/1 Output Process Burke s Theore:

More information

Statistics for Applications Fall Problem Set 7

Statistics for Applications Fall Problem Set 7 18.650. Statistics for Applicatios Fall 016. Proble Set 7 Due Friday, Oct. 8 at 1 oo Proble 1 QQ-plots Recall that the Laplace distributio with paraeter λ > 0 is the cotiuous probaλ bility easure with

More information

AVERAGE MARKS SCALING

AVERAGE MARKS SCALING TERTIARY INSTITUTIONS SERVICE CENTRE Level 1, 100 Royal Street East Perth, Wester Australia 6004 Telephoe (08) 9318 8000 Facsiile (08) 95 7050 http://wwwtisceduau/ 1 Itroductio AVERAGE MARKS SCALING I

More information

Lecture 8 & Tutorial 1: Experimental idention of low order model

Lecture 8 & Tutorial 1: Experimental idention of low order model Eurother Advaced School Metti 5 Roscoff Jue 13-18, 211 Lecture 8 & utorial 1: Experietal idetio of low order odel Jea-Luc Battaglia, Laboratory I2M, Departet REFLE, I2M Bordeaux Measureet iversio 35 3

More information

Performance Comparison between MAI and Noise Constrained LMS Algorithm for MIMO CDMA DFE and Linear Equalizers

Performance Comparison between MAI and Noise Constrained LMS Algorithm for MIMO CDMA DFE and Linear Equalizers Perforace Copariso betwee MAI ad Noise Costraied Algorith for MIMO CDMA DFE ad Liear Equalizers Khalid Mahood Meber Istitute of Electrical ad Electroic Egieers (IEEE) Abstract This paper presets a perforace

More information

Analysis of the Rake Receiver Performance in Low Spreading Gain DS/SS Systems

Analysis of the Rake Receiver Performance in Low Spreading Gain DS/SS Systems Aalysis of the Rake Receiver Perforace i Low Spreadig Gai DS/SS Systes Carste Uger ad Gerhard P. Fettweis Dresde Uiversity of Techology Maesa Mobilfuk Chair for Mobile Couicatios Systes Mosestr. 3 D-006

More information

Digital Signal Processing. Homework 2 Solution. Due Monday 4 October Following the method on page 38, the difference equation

Digital Signal Processing. Homework 2 Solution. Due Monday 4 October Following the method on page 38, the difference equation Digital Sigal Proessig Homework Solutio Due Moda 4 Otober 00. Problem.4 Followig the method o page, the differee equatio [] (/4[-] + (/[-] x[-] has oeffiiets a0, a -/4, a /, ad b. For these oeffiiets A(z

More information

ANOTHER PROOF FOR FERMAT S LAST THEOREM 1. INTRODUCTION

ANOTHER PROOF FOR FERMAT S LAST THEOREM 1. INTRODUCTION ANOTHER PROOF FOR FERMAT S LAST THEOREM Mugur B. RĂUŢ Correspodig author: Mugur B. RĂUŢ, E-mail: m_b_raut@yahoo.om Abstrat I this paper we propose aother proof for Fermat s Last Theorem (FLT). We foud

More information

ECE 6560 Multirate Signal Processing Fourier Transform Review

ECE 6560 Multirate Signal Processing Fourier Transform Review ECE 656 Mutirate Siga Proessig Fourier Trasfor Revie Dr. Bradey J. Bazui Wester Mihiga Uiversity Coege of Egieerig ad Appied Siees Departet of Eetria ad Coputer Egieerig 93 W. Mihiga Ave. Kaaazoo MI, 498-539

More information

Analog Filter Synthesis

Analog Filter Synthesis 6 Aalog Filter Sythesis Nam Pham Aubur Uiversity Bogda M. Wilamowsi Aubur Uiversity 6. Itrodutio...6-6. Methods to Sythesize Low-Pass Filter...6- Butterworth Low-Pass Filter Chebyshev Low-Pass Filter Iverse

More information

Verification of continuous predictands

Verification of continuous predictands barbara.casati@ec.gc.ca Verificatio of cotiuous predictads Barbara Casati 9 Ja 007 Exploratory ethods: joit distributio Scatter-plot: plot of observatio versus forecast values Perfect forecast obs, poits

More information

Doppler frequency offset estimation and diversity reception scheme of high-speed railway with multiple antennas on separated carriage

Doppler frequency offset estimation and diversity reception scheme of high-speed railway with multiple antennas on separated carriage Joural of Moder Trasportatio Volume, umber 4, Deember, Page 7-33 Joural homepage: jmtswjtuedu DO: 7/BF33583 Doppler frequey offset estimatio ad diversity reeptio sheme of high-speed railway with multiple

More information

Energy-Efficient Cooperative Routing in BER Constrained Multihop Networks

Energy-Efficient Cooperative Routing in BER Constrained Multihop Networks Eergy-Effiiet Cooperative Routig i BER Costraied Multihop Networks Behrouz Maha, Merouae Debbah, Are Hjoruges To ite this versio: Behrouz Maha, Merouae Debbah, Are Hjoruges. Eergy-Effiiet Cooperative Routig

More information

Transfer Function Analysis

Transfer Function Analysis Trasfer Fuctio Aalysis Free & Forced Resposes Trasfer Fuctio Syste Stability ME375 Trasfer Fuctios - Free & Forced Resposes Ex: Let s s look at a stable first order syste: τ y + y = Ku Take LT of the I/O

More information

Contents Two Sample t Tests Two Sample t Tests

Contents Two Sample t Tests Two Sample t Tests Cotets 3.5.3 Two Saple t Tests................................... 3.5.3 Two Saple t Tests Setup: Two Saples We ow focus o a sceario where we have two idepedet saples fro possibly differet populatios. Our

More information

Construction of Control Chart for Random Queue Length for (M / M / c): ( / FCFS) Queueing Model Using Skewness

Construction of Control Chart for Random Queue Length for (M / M / c): ( / FCFS) Queueing Model Using Skewness Iteratioal Joural of Sietifi ad Researh Publiatios, Volume, Issue, Deember ISSN 5-5 Costrutio of Cotrol Chart for Radom Queue Legth for (M / M / ): ( / FCFS) Queueig Model Usig Skewess Dr.(Mrs.) A.R. Sudamai

More information

Uncertainty Principle of Mathematics

Uncertainty Principle of Mathematics Septeber 27 Ucertaity Priciple of Matheatics Shachter Mourici Israel, Holo ourici@walla.co.il Preface This short paper prove that atheatically, Reality is ot real. This short paper is ot about Heiseberg's

More information

CS 70 Second Midterm 7 April NAME (1 pt): SID (1 pt): TA (1 pt): Name of Neighbor to your left (1 pt): Name of Neighbor to your right (1 pt):

CS 70 Second Midterm 7 April NAME (1 pt): SID (1 pt): TA (1 pt): Name of Neighbor to your left (1 pt): Name of Neighbor to your right (1 pt): CS 70 Secod Midter 7 April 2011 NAME (1 pt): SID (1 pt): TA (1 pt): Nae of Neighbor to your left (1 pt): Nae of Neighbor to your right (1 pt): Istructios: This is a closed book, closed calculator, closed

More information

Evaluation of Bessel Functions Using a Computer Program

Evaluation of Bessel Functions Using a Computer Program Evaluatio of Bessel Fuctios Usig a Coputer Progra P. S. Yeh, Ph.D. Abstract I cylidrical coordiate, there are two types of Bessel fuctios. These fuctios are the Bessel fuctio ad the odified Bessel fuctio.

More information

The state space model needs 5 parameters, so it is not as convenient to use in this control study.

The state space model needs 5 parameters, so it is not as convenient to use in this control study. Trasfer fuctio for of the odel G θ K ω 2 θ / v θ / v ( s) = = 2 2 vi s + 2ζωs + ω The followig slides detail a derivatio of this aalog eter odel both as state space odel ad trasfer fuctio (TF) as show

More information

A New Simulation Model of Rician Fading Channel Xinxin Jin 1,2,a, Yu Zhang 1,3,b, Changyong Pan 4,c

A New Simulation Model of Rician Fading Channel Xinxin Jin 1,2,a, Yu Zhang 1,3,b, Changyong Pan 4,c 6 Iteratioal Coferece o Iformatio Egieerig ad Commuicatios Techology (IECT 6 ISB: 978--6595-375-5 A ew Simulatio Model of Ricia Fadig Chael Xixi Ji,,a, Yu Zhag,3,b, Chagyog Pa 4,c Tsighua atioal Laboratory

More information

On Capacity and Delay of Multi-channel Wireless Networks with Infrastructure Support

On Capacity and Delay of Multi-channel Wireless Networks with Infrastructure Support O Capaity ad Delay of Multi-hael ireless Networks with Ifrastruture Support Hog-Nig Dai, Member, IEEE, Raymod Chi-ig og, Seior Member, IEEE, Hao ag, Member, IEEE Abstrat I this paper, we propose a ovel

More information

AN EFFICIENT ESTIMATION METHOD FOR THE PARETO DISTRIBUTION

AN EFFICIENT ESTIMATION METHOD FOR THE PARETO DISTRIBUTION Joural of Statistics: Advaces i Theory ad Applicatios Volue 3, Nuber, 00, Pages 6-78 AN EFFICIENT ESTIMATION METHOD FOR THE PARETO DISTRIBUTION Departet of Matheatics Brock Uiversity St. Catharies, Otario

More information

B. Maddah ENMG 622 ENMG /20/09

B. Maddah ENMG 622 ENMG /20/09 B. Maddah ENMG 6 ENMG 5 5//9 Queueig Theory () Distributio of waitig time i M/M/ Let T q be the waitig time i queue of a ustomer. The it a be show that, ( ) t { q > } =. T t e Let T be the total time of

More information

Société de Calcul Mathématique SA Mathematical Modelling Company, Corp.

Société de Calcul Mathématique SA Mathematical Modelling Company, Corp. oiété de Calul Mathéatique A Matheatial Modellig Copay, Corp. Deisio-aig tools, sie 995 iple Rado Wals Part V Khihi's Law of the Iterated Logarith: Quatitative versios by Berard Beauzay August 8 I this

More information

33. Electromagnetic Waves

33. Electromagnetic Waves 33. letroageti Waves 33-. Maxwell s Raibow - Maxwell showed that a bea of light is a eletroageti wave a travelig wave of eletri ad ageti fields. The Spetru of letroageti Wave fλ f : frquey 8 3 MHz : λ

More information

REDUCING THE POSSIBILITY OF SUBJECTIVE ERROR IN THE DETERMINATION OF THE STRUCTURE-FUNCTION-BASED EFFECTIVE THERMAL CONDUCTIVITY OF BOARDS

REDUCING THE POSSIBILITY OF SUBJECTIVE ERROR IN THE DETERMINATION OF THE STRUCTURE-FUNCTION-BASED EFFECTIVE THERMAL CONDUCTIVITY OF BOARDS Nice, Côte d Azur, Frace, 27-29 Septeber 2006 REDUCING THE POSSIBILITY OF SUBJECTIVE ERROR IN THE DETERMINATION OF THE STRUCTURE-FUNCTION-BASED EFFECTIVE THERMAL CONDUCTIVITY OF BOARDS Erő Kollár, Vladiír

More information

FIR Filter Design: Part II

FIR Filter Design: Part II EEL335: Discrete-Time Sigals ad Systems. Itroductio I this set of otes, we cosider how we might go about desigig FIR filters with arbitrary frequecy resposes, through compositio of multiple sigle-peak

More information

5.6 Binomial Multi-section Matching Transformer

5.6 Binomial Multi-section Matching Transformer 4/14/2010 5_6 Bioial Multisectio Matchig Trasforers 1/1 5.6 Bioial Multi-sectio Matchig Trasforer Readig Assiget: pp. 246-250 Oe way to axiize badwidth is to costruct a ultisectio Γ f that is axially flat.

More information

5.6 Binomial Multi-section Matching Transformer

5.6 Binomial Multi-section Matching Transformer 4/14/21 5_6 Bioial Multisectio Matchig Trasforers 1/1 5.6 Bioial Multi-sectio Matchig Trasforer Readig Assiget: pp. 246-25 Oe way to axiize badwidth is to costruct a ultisectio Γ f that is axially flat.

More information

School of Mechanical Engineering Purdue University. ME375 Transfer Functions - 1

School of Mechanical Engineering Purdue University. ME375 Transfer Functions - 1 Trasfer Fuctio Aalysis Free & Forced Resposes Trasfer Fuctio Syste Stability ME375 Trasfer Fuctios - 1 Free & Forced Resposes Ex: Let s look at a stable first order syste: y y Ku Take LT of the I/O odel

More information

The Binomial Multi- Section Transformer

The Binomial Multi- Section Transformer 4/4/26 The Bioial Multisectio Matchig Trasforer /2 The Bioial Multi- Sectio Trasforer Recall that a ulti-sectio atchig etwork ca be described usig the theory of sall reflectios as: where: ( ω ) = + e +

More information

Physics 3 (PHYF144) Chap 8: The Nature of Light and the Laws of Geometric Optics - 1

Physics 3 (PHYF144) Chap 8: The Nature of Light and the Laws of Geometric Optics - 1 Physis 3 (PHYF44) Chap 8: The Nature of Light ad the Laws of Geometri Optis - 8. The ature of light Before 0 th etury, there were two theories light was osidered to be a stream of partiles emitted by a

More information

The beta density, Bayes, Laplace, and Pólya

The beta density, Bayes, Laplace, and Pólya The beta desity, Bayes, Laplae, ad Pólya Saad Meimeh The beta desity as a ojugate form Suppose that is a biomial radom variable with idex ad parameter p, i.e. ( ) P ( p) p ( p) Applyig Bayes s rule, we

More information

= 47.5 ;! R. = 34.0 ; n air =

= 47.5 ;! R. = 34.0 ; n air = Setio 9: Refratio ad Total Iteral Refletio Tutorial Pratie, page 449 The agle of iidee is 65 The fat that the experimet takes plae i water does ot hage the agle of iidee Give:! i = 475 ;! R = 340 ; air

More information

Principles of Communications Lecture 12: Noise in Modulation Systems. Chih-Wei Liu 劉志尉 National Chiao Tung University

Principles of Communications Lecture 12: Noise in Modulation Systems. Chih-Wei Liu 劉志尉 National Chiao Tung University Priiples of Commuiatios Leture 1: Noise i Modulatio Systems Chih-Wei Liu 劉志尉 Natioal Chiao ug Uiversity wliu@twis.ee.tu.edu.tw Outlies Sigal-to-Noise Ratio Noise ad Phase Errors i Coheret Systems Noise

More information

On Modeling On Minimum Description Length Modeling. M-closed

On Modeling On Minimum Description Length Modeling. M-closed O Modelig O Miiu Descriptio Legth Modelig M M-closed M-ope Do you believe that the data geeratig echais really is i your odel class M? 7 73 Miiu Descriptio Legth Priciple o-m-closed predictive iferece

More information

Define a Markov chain on {1,..., 6} with transition probability matrix P =

Define a Markov chain on {1,..., 6} with transition probability matrix P = Pla Group Work 0. The title says it all Next Tie: MCMC ad Geeral-state Markov Chais Midter Exa: Tuesday 8 March i class Hoework 4 due Thursday Uless otherwise oted, let X be a irreducible, aperiodic Markov

More information

) is a square matrix with the property that for any m n matrix A, the product AI equals A. The identity matrix has a ii

) is a square matrix with the property that for any m n matrix A, the product AI equals A. The identity matrix has a ii square atrix is oe that has the sae uber of rows as colus; that is, a atrix. he idetity atrix (deoted by I, I, or [] I ) is a square atrix with the property that for ay atrix, the product I equals. he

More information

Optimizing Single Sweep Range and Doppler Processing for FMCW Radar using Inverse Filtering

Optimizing Single Sweep Range and Doppler Processing for FMCW Radar using Inverse Filtering Optiizing Single Sweep and Doppler Proessing for FMCW Radar using Inverse Filtering AJ de Jong and Ph van Dorp Oude Waalsdorperweg 63 2597 AK, Den Haag The Netherlands ajdejong@feltnonl ABSTRACT We disuss

More information

Lecture 10: Bounded Linear Operators and Orthogonality in Hilbert Spaces

Lecture 10: Bounded Linear Operators and Orthogonality in Hilbert Spaces Lecture : Bouded Liear Operators ad Orthogoality i Hilbert Spaces 34 Bouded Liear Operator Let ( X, ), ( Y, ) i i be ored liear vector spaces ad { } X Y The, T is said to be bouded if a real uber c such

More information

ECE Spring Prof. David R. Jackson ECE Dept. Notes 20

ECE Spring Prof. David R. Jackson ECE Dept. Notes 20 ECE 6341 Sprig 016 Prof. David R. Jackso ECE Dept. Notes 0 1 Spherical Wave Fuctios Cosider solvig ψ + k ψ = 0 i spherical coordiates z φ θ r y x Spherical Wave Fuctios (cot.) I spherical coordiates we

More information

After the completion of this section the student. V.4.2. Power Series Solution. V.4.3. The Method of Frobenius. V.4.4. Taylor Series Solution

After the completion of this section the student. V.4.2. Power Series Solution. V.4.3. The Method of Frobenius. V.4.4. Taylor Series Solution Chapter V ODE V.4 Power Series Solutio Otober, 8 385 V.4 Power Series Solutio Objetives: After the ompletio of this setio the studet - should reall the power series solutio of a liear ODE with variable

More information

3. Newton s Rings. Background. Aim of the experiment. Apparatus required. Theory. Date : Newton s Rings

3. Newton s Rings. Background. Aim of the experiment. Apparatus required. Theory. Date : Newton s Rings ate : Newto s igs 3. Newto s igs Backgroud Coheret light Phase relatioship Path differece Iterferece i thi fil Newto s rig apparatus Ai of the experiet To study the foratio of Newto s rigs i the air-fil

More information

FIR Filters. Lecture #7 Chapter 5. BME 310 Biomedical Computing - J.Schesser

FIR Filters. Lecture #7 Chapter 5. BME 310 Biomedical Computing - J.Schesser FIR Filters Lecture #7 Chapter 5 8 What Is this Course All About? To Gai a Appreciatio of the Various Types of Sigals ad Systems To Aalyze The Various Types of Systems To Lear the Skills ad Tools eeded

More information

Fluids Lecture 2 Notes

Fluids Lecture 2 Notes Fluids Leture Notes. Airfoil orte Sheet Models. Thi-Airfoil Aalysis Problem Readig: Aderso.,.7 Airfoil orte Sheet Models Surfae orte Sheet Model A aurate meas of represetig the flow about a airfoil i a

More information

Flight and Orbital Mechanics. Exams

Flight and Orbital Mechanics. Exams 1 Flight ad Orbital Mechaics Exas Exa AE2104-11: Flight ad Orbital Mechaics (2 Noveber 2012, 14.00 17.00) Please put your ae, studet uber ad ALL YOUR INITIALS o your work. Aswer all questios ad put your

More information

Formula List for College Algebra Sullivan 10 th ed. DO NOT WRITE ON THIS COPY.

Formula List for College Algebra Sullivan 10 th ed. DO NOT WRITE ON THIS COPY. Forula List for College Algera Sulliva 10 th ed. DO NOT WRITE ON THIS COPY. Itercepts: Lear how to fid the x ad y itercepts. Syetry: Lear how test for syetry with respect to the x-axis, y-axis ad origi.

More information

Summation Method for Some Special Series Exactly

Summation Method for Some Special Series Exactly The Iteratioal Joural of Mathematis, Siee, Tehology ad Maagemet (ISSN : 39-85) Vol. Issue Summatio Method for Some Speial Series Eatly D.A.Gismalla Deptt. Of Mathematis & omputer Studies Faulty of Siee

More information

9.5 Young s Double-Slit Experiment

9.5 Young s Double-Slit Experiment 9.5 Youg s Double-Slit Experiet Physics Tool box Early attepts to deostrate the iterferece of light were usuccessful because the two sources were too far apart ad out of phase, ad the wavelegth of light

More information

Summer MA Lesson 13 Section 1.6, Section 1.7 (part 1)

Summer MA Lesson 13 Section 1.6, Section 1.7 (part 1) Suer MA 1500 Lesso 1 Sectio 1.6, Sectio 1.7 (part 1) I Solvig Polyoial Equatios Liear equatio ad quadratic equatios of 1 variable are specific types of polyoial equatios. Soe polyoial equatios of a higher

More information

Binomial transform of products

Binomial transform of products Jauary 02 207 Bioial trasfor of products Khristo N Boyadzhiev Departet of Matheatics ad Statistics Ohio Norther Uiversity Ada OH 4580 USA -boyadzhiev@ouedu Abstract Give the bioial trasfors { b } ad {

More information

Ionospheric characteristics

Ionospheric characteristics Rec ITU-R P434-6 1 RECOMMENDATION ITU-R P434-6 ITU-R REFERENCE IONOSPHERIC CHARACTERISTICS AND METHODS OF BASIC MUF, OPERATIONAL MUF AND RAY-PATH PREDICTION * (Questios ITU-R 212/3 ad ITU-R 223/3) Rec

More information

V. Propagation Effects Observed Indoors

V. Propagation Effects Observed Indoors V. Propagatio Effects Observed Idoors Multipath fadig for arrowbad sigals Wall loss ad rage depedece Spatial fadig of pulsed sigals Delay spread ad coherece badwidth 1 Multipath Fadig for CW Sigals Fadig

More information

CHAPTER 6 RESISTANCE FACTOR FOR THE DESIGN OF COMPOSITE SLABS

CHAPTER 6 RESISTANCE FACTOR FOR THE DESIGN OF COMPOSITE SLABS CHAPTER 6 RESISTANCE FACTOR FOR THE DESIGN OF COMPOSITE SLABS 6.1. Geeral Probability-based desig criteria i the for of load ad resistace factor desig (LRFD) are ow applied for ost costructio aterials.

More information

Lesson 4. Thermomechanical Measurements for Energy Systems (MENR) Measurements for Mechanical Systems and Production (MMER)

Lesson 4. Thermomechanical Measurements for Energy Systems (MENR) Measurements for Mechanical Systems and Production (MMER) Lesso 4 Thermomehaial Measuremets for Eergy Systems (MENR) Measuremets for Mehaial Systems ad Produtio (MMER) A.Y. 15-16 Zaaria (Rio ) Del Prete RAPIDITY (Dyami Respose) So far the measurad (the physial

More information

Nonstandard Lorentz-Einstein transformations

Nonstandard Lorentz-Einstein transformations Nostadard Loretz-istei trasformatios Berhard Rothestei 1 ad Stefa Popesu 1) Politehia Uiversity of Timisoara, Physis Departmet, Timisoara, Romaia brothestei@gmail.om ) Siemes AG, rlage, Germay stefa.popesu@siemes.om

More information

Hypothesis tests and confidence intervals

Hypothesis tests and confidence intervals Hypothesis tests ad cofidece itervals The 95% cofidece iterval for µ is the set of values, µ 0, such that the ull hypothesis H 0 : µ = µ 0 would ot be rejected by a two-sided test with α = 5%. The 95%

More information

University of California at Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences

University of California at Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences A Uiversity of Califoria at Berkeley College of Egieerig Departmet of Electrical Egieerig ad Computer Scieces U N I V E R S T H E I T Y O F LE T TH E R E B E LI G H T C A L I F O R N 8 6 8 I A EECS : Sigals

More information

Lecture 20 - Wave Propagation Response

Lecture 20 - Wave Propagation Response .09/.093 Fiite Eleet Aalysis of Solids & Fluids I Fall 09 Lecture 0 - Wave Propagatio Respose Prof. K. J. Bathe MIT OpeCourseWare Quiz #: Closed book, 6 pages of otes, o calculators. Covers all aterials

More information

ON THE SM -OPERATORS

ON THE SM -OPERATORS Soepara d O The SM-operators ON THE SM -OPERTORS Soepara Darawijaya Musli sori da Supaa 3 3 Matheatis Departeet FMIP UGM Yogyaarta eail: aspoo@yahoo.o Matheatis Departeet FMIP Uiversitas Lapug Jl. Soeatri

More information

Signal Processing in Mechatronics. Lecture 3, Convolution, Fourier Series and Fourier Transform

Signal Processing in Mechatronics. Lecture 3, Convolution, Fourier Series and Fourier Transform Sigal Processig i Mechatroics Summer semester, 1 Lecture 3, Covolutio, Fourier Series ad Fourier rasform Dr. Zhu K.P. AIS, UM 1 1. Covolutio Covolutio Descriptio of LI Systems he mai premise is that the

More information

λ = 0.4 c 2nf max = n = 3orɛ R = 9

λ = 0.4 c 2nf max = n = 3orɛ R = 9 CHAPTER 14 14.1. A parallel-plate waveguide is kow to have a utoff wavelegth for the m 1 TE ad TM modes of λ 1 0.4 m. The guide is operated at wavelegth λ 1 mm. How may modes propagate? The utoff wavelegth

More information

Supplementary Information. Acoustic Holographic Rendering with Two-dimensional Metamaterial-based Passive Phased Array

Supplementary Information. Acoustic Holographic Rendering with Two-dimensional Metamaterial-based Passive Phased Array Suleetary Iforatio Acoustic Holograhic Rederig with Two-diesioal Metaaterial-based Passive Phased Array Yagbo Xie 1 *, Che She 2 *, Weqi Wag 1, Jufei Li 1, Digjie Suo 2, Bogda-Ioa Poa 1, Yu Jig 2, ad Steve

More information

Channel Allocation for a 2-Hop OFDMA Virtual Cellular Network

Channel Allocation for a 2-Hop OFDMA Virtual Cellular Network Proeedig of APCC8 opyright 8 IEICE 8 SB 83 Chael Alloatio for a -Hop Virtual Cellular etwork Hitohi ISHIDA Eiuke KUDOH ad Fuiyuki ADACHI Dept. of Eletrial ad Couiatio Egieerig, Graduate Shool of Egieerig,

More information

\,. Si2:nal Detection and. Optical AmpUfler or Signal Regenentor ""' Fiber La~er Laser Coupler Driver Diode,-~ [> I I ~ : Modulator. Splice.

\,. Si2:nal Detection and. Optical AmpUfler or Signal Regenentor ' Fiber La~er Laser Coupler Driver Diode,-~ [> I I ~ : Modulator. Splice. Sieal Geeratio!! Ietroi Fiber Laer Laser Coupler Driver Diode, [> I I : Modulator Iterfae I I: t A Trasissio Mediu Splie ptial ApUfler or Sigal Regeetor ""' I N C y Coditioig ' Eletrois I Eletroil Detetor

More information

Deterministic Model of Multipath Fading for Circular and Parabolic Reflector Patterns

Deterministic Model of Multipath Fading for Circular and Parabolic Reflector Patterns To appear i the Proceedigs of the 5 IEEE outheastco, (Ft. Lauderdale, FL), April 5 Determiistic Model of Multipath Fadig for Circular ad Parabolic Reflector Patters Dwight K. Hutcheso dhutche@clemso.edu

More information

Engineering Mechanics Dynamics & Vibrations. Engineering Mechanics Dynamics & Vibrations Plane Motion of a Rigid Body: Equations of Motion

Engineering Mechanics Dynamics & Vibrations. Engineering Mechanics Dynamics & Vibrations Plane Motion of a Rigid Body: Equations of Motion 1/5/013 Egieerig Mechaics Dyaics ad Vibratios Egieerig Mechaics Dyaics & Vibratios Egieerig Mechaics Dyaics & Vibratios Plae Motio of a Rigid Body: Equatios of Motio Motio of a rigid body i plae otio is

More information

Erick L. Oberstar Fall 2001 Project: Sidelobe Canceller & GSC 1. Advanced Digital Signal Processing Sidelobe Canceller (Beam Former)

Erick L. Oberstar Fall 2001 Project: Sidelobe Canceller & GSC 1. Advanced Digital Signal Processing Sidelobe Canceller (Beam Former) Erick L. Obertar Fall 001 Project: Sidelobe Caceller & GSC 1 Advaced Digital Sigal Proceig Sidelobe Caceller (Beam Former) Erick L. Obertar 001 Erick L. Obertar Fall 001 Project: Sidelobe Caceller & GSC

More information

Vibratory Motion. Prof. Zheng-yi Feng NCHU SWC. National CHung Hsing University, Department of Soil and Water Conservation

Vibratory Motion. Prof. Zheng-yi Feng NCHU SWC. National CHung Hsing University, Department of Soil and Water Conservation Vibratory Motio Prof. Zheg-yi Feg NCHU SWC 1 Types of vibratory motio Periodic motio Noperiodic motio See Fig. A1, p.58 Harmoic motio Periodic motio Trasiet motio impact Trasiet motio earthquake A powerful

More information

Physics 219 Summary of linear response theory

Physics 219 Summary of linear response theory 1 Physics 219 Suary of liear respose theory I. INTRODUCTION We apply a sall perturbatio of stregth f(t) which is switched o gradually ( adiabatically ) fro t =, i.e. the aplitude of the perturbatio grows

More information

Surveying the Variance Reduction Methods

Surveying the Variance Reduction Methods Available olie at www.scizer.co Austria Joural of Matheatics ad Statistics, Vol 1, Issue 1, (2017): 10-15 ISSN 0000-0000 Surveyig the Variace Reductio Methods Arash Mirtorabi *1, Gholahossei Gholai 2 1.

More information

ε > 0 N N n N a n < ε. Now notice that a n = a n.

ε > 0 N N n N a n < ε. Now notice that a n = a n. 4 Sequees.5. Null sequees..5.. Defiitio. A ull sequee is a sequee (a ) N that overges to 0. Hee, by defiitio of (a ) N overges to 0, a sequee (a ) N is a ull sequee if ad oly if ( ) ε > 0 N N N a < ε..5..

More information

The Use of L-Moments in the Peak Over Threshold Approach for Estimating Extreme Quantiles of Wind Velocity

The Use of L-Moments in the Peak Over Threshold Approach for Estimating Extreme Quantiles of Wind Velocity The Use of L-Momets i the Pea Over Threshold Approah for Estimatig Extreme Quatiles of Wid Veloity M.D. Padey Uiversity of Waterloo, Otario, Caada P.H.A.J.M. va Gelder & J.K. Vrijlig Delft Uiversity of

More information

Diversity Combining Techniques

Diversity Combining Techniques Diversity Combiig Techiques Whe the required sigal is a combiatio of several waves (i.e, multipath), the total sigal amplitude may experiece deep fades (i.e, Rayleigh fadig), over time or space. The major

More information

Effects of Air Humidity on the Performance of a Polymer Insulator under Lightning Induced Voltage Conditions

Effects of Air Humidity on the Performance of a Polymer Insulator under Lightning Induced Voltage Conditions Effets of Air Humidity o the Performae of a Polymer Isulator uder Lightig Idued Voltage Coditios Mahdi Izadi *, Mohd Zaial Abidi Ab Kadir 2, Chadima Gomes 3, Mohd Syahmi 4, Maryam Hajihai 5,2,3,4,5 Cetre

More information

Likelihood and Bayesian Methods for Accurate Identification of Measurement Biases in Pseudo Steady-State Processes

Likelihood and Bayesian Methods for Accurate Identification of Measurement Biases in Pseudo Steady-State Processes Likelihood ad Bayesia Methods for Accurate Idetificatio of Measureet Biases i Pseudo Steady-State Processes Srira Devaatha 1, Stephe B. Vardea 2,3 ad Derrick K. Rollis, Sr. 1,2,* 1 Departet of Cheical

More information

Some Examples on Gibbs Sampling and Metropolis-Hastings methods

Some Examples on Gibbs Sampling and Metropolis-Hastings methods Soe Exaples o Gibbs Saplig ad Metropolis-Hastigs ethods S420/620 Itroductio to Statistical Theory, Fall 2012 Gibbs Sapler Saple a ultidiesioal probability distributio fro coditioal desities. Suppose d

More information

S. A. ALIEV, Y. I. YELEYKO, Y. V. ZHERNOVYI. STEADY-STATE DISTRIBUTIONS FOR CERTAIN MODIFICATIONS OF THE M/M/1/m QUEUEING SYSTEM

S. A. ALIEV, Y. I. YELEYKO, Y. V. ZHERNOVYI. STEADY-STATE DISTRIBUTIONS FOR CERTAIN MODIFICATIONS OF THE M/M/1/m QUEUEING SYSTEM Trasactios of Azerbaija Natioal Acadey of Scieces, Series of Physical-Techical ad Matheatical Scieces: Iforatics ad Cotrol Probles 009 Vol XXIX, 6 P 50-58 S A ALIEV, Y I YELEYKO, Y V ZHERNOVYI STEADY-STATE

More information