SYNTHESIS OF SIGNAL USING THE EXPONENTIAL FOURIER SERIES
|
|
- Cornelius Foster
- 5 years ago
- Views:
Transcription
1 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 ( ) stated the formula exp( jω = os( ω jsi( ω. This formula is essetial i the teleommuiatio theory. The ore of Fourier Trasform (FT) is a futio as exp( jω. The FT theory states that ay periodi sigals a be deomposed i a sum of a os( ω ad b si( ω, where the FT theory estimates the oeffiiets a ad b. I all text about FT theory the graphis are made usig the osie ad sie urves i time domai. This paper provides the light iside o proess of sigal geeratio the sum of omplex expoetials. A dediated omputatioal tool was developed o CBuilder platform to allow the studets to produe ad aalyze the sigal i the time ad phasor domais. The fasor are omplex expoetial rotatig i a omplex plae. I the simulatio it is possible to sum up to seve ompoets, with differet values of amplitude ad phase Idex Terms euler, fourier series, omplex plae. INTRODUCTION This paper presets a eduatioal approah for the study about sigals geeratio usig the expoetial Fourier series. This approah is realized usig a simulatio program developed with CBuilder platform, whih allows the user to defie the amplitude, frequey of the ompoets whih will produe the sigal. The simulator allows oe to aalyze graphially the rotatio ad the ombiatio of the phasors. The paper outlie is as follows. First, i the ext setio, a brief review of Euler s idetities ad the fasor represetatio is show. The, the expoetial Fourier Series is overviewed. Next, the simulatio program is desribed. After that, two examples of simulatio are show. Fially, i the last setio, the olusio is preseted. EULER S IDENTITIES I the aalysis of liear systems we are partiularly iterested i sigals that a be represeted as futio omplex expoetial. Physially, this futio a be obtaied desribig the rotatio of a vetor with uit legth o the plae omplex, as show i Figure []. The ed poit of the vetor revolves outerlokwise at a agular rate of ω radias per seod. θ ( = ω t ω = FIGURE. COMPLEX PLANE AND PHASOR. πf rad/s To foud the projetios o the axis is eessary add a ouple of vetors, oe with agle θ = ω t ad other oe with θ = ω t, as preseted i Figure. θ ( = ω t θ ( = ω t ω = πf rad/s FIGURE. A COUPLE OF PHASORS ROTATING IN OPPOSITE DIRECTION. Thus, the projetio o the real axis is the resultat of the additio of two vetors with same agular frequey but rotatig i oppose diretio. Thus, exp( jω exp( jω os( ω = () Its is possible observe i Figure that this sum results is i a value that orrespods twie of the projetio o the real axis value, while the positive imagiary part is aeled by the egative imagiary part. Beause of this, there is a Sadro Aadriao Fasolo, INATEL, Av. João de Camargo, 50, , Sata Rita do Sapuaí, MG, Brazil, sadro.fasolo@iatel.br Luiao Leoel Medes, INATEL, Av. João de Camargo, 50, , Sata Rita do Sapuaí, MG, Brazil, luiaol@iatel.br
2 ormalizig fator equals i (). This value is alled osie of agle θ = t. ω si( ω θ ( t(s) os( θ ( ) FIGURE 3. THE COS(X) FUNCTION. Similarly, the projetio o the imagiary axis is obtaied by exp( jω exp( jω si( ω = () j I Figure 4, it is possible to observe that this sum results i a value that orrespods to the twie the value of projetio o the imagiary axis multiplied by the imagiary elemet j =. I the aalog form, the real parts have same value but opposite sigal ad aeled it other. Beause of this, there is a ormalizig fator equals j i (). This value, is alled sie of agle θ = ω t. si( θ ( ) FIGURE 4. THE SIN(X) FUNCTION. Addig the terms o the right-had side ad the terms o the left-had of () e () we a represet de term exp( ω by j exp( jω = os( ω j si( ω (3) The projetio o real axis is the osie futio ad de projetio o imagiary axis is the sie futio, as a be see i Figure 5. FIGURE 5. THE SIN(X) AND COS(X) BY COMPLEX EXPONENTIAL FUNCTION. COMPLEX FOURIER SERIES The futio f ( a be expressed as a summatio of omplex expoetial terms, eah with its ow magitude, phase, ad agular rate (frequey). Eah omplex expoetial term a be represeted by a phasor. The summatio of phasor (the real part, by ovetio) desribe the istataeous values of omplex-valued sigal usig the expoetial Fourier series represetatio. It a be easily show that a set of expoetial futios of form exp( jω must be subjet of the ostraits T 0 T m = exp( jmω exp( jω = (4) 0 m Thus, the set of futios φ ( = exp( jω = 0,,,... (5) forms a orthogoal set over the iterval ( 0, T ) if ω = π /T. A arbitrary sigal f ( a be expressed i terms of a fiite summatio of omplex expoetials by [] = F exp( jω t < t < t (6) = where the oeffiiets F is the projetio of f ( o eah omplex expoetial of the orthogoal futios set. Thus
3 F t exp( j dt t < t < t t t t = ω (7) THE SIMULATION PLATAFORM Figure 6 shows the developed omputer tool. The graphial iterfae shows the phasors (blak lie), the phasor resultat (red lie) ad the projetio o real axis (blue lie). The amplitude of sigal i time domai is the projetio o real axis. The harateristi of this program are: Number of tos: 9 DC level. Frequeies of tos: DC,,,3,4,5,6,7,8 ad 9 Hz. Rage of amplitude:.5v A. 5V. Rage of phase: π θ π. Number of pre-programmable sigals: 4 Pre-programmable sigals: square, half sie, modulus of sie ad triagle. Plot i time domai. Plot i phasor domai. FIGURE 6. THE HZ COSINE SIGNAL WITH 45º DELAY IN SIMULATION PLATAFORM. EXAMPLE Figure 7 shows the simulatio for a square sigal. I this example, the symmetri square waveform a be expressed i terms of a sum de osie futios with frequeies odd multiple of the fudametal frequey [3]. 4 si[( ) t] = π = 0 (8) The omplex otatio i this simulatio is give by 4 = exp( jω exp( j3ω π 3 exp( j5ω exp( j7ω exp( j9ω where ω = π rad s. / (9)
4 FIGURE 7. THE SQUARE SIGNAL IN SIMULATION PLATAFORM. EXAMPLE Figure 8 shows the simulatio for the half sie. I this example, half sie waveform a be expressed i terms of a sum de osie futios with frequeies eve multiple of the fudametal frequey [3]. = π si( os( π = ( )( ) (0) = [ exp( jω ] π () exp( jω exp( j4ω exp( j6ω π where ω = π rad / s The omplex otatio of this simulatio is give by
5 FIGURE 8. THE HALF SINE SIGNAL IN SIMULATION PLATAFORM. ACKNOWLEDGMENT [3] Spiegel, R. Murray, Mathematial Hadbook of Formulas ad Tables, Shaum s Outlie Series, MGraw Hill, 973. The authors would like to thak INATEL for the fiaial support. CONCLUSIONS This paper has preseted a didati simulator to aalyze the sigal geeratio usig the expoetial Fourier series. The simulatio platform has preseted a effiiet solutio for studets to self-lear the oepts about orthogoal sigals, sigals sum, Fourier Series ad phasor maipulatio. REFERENCES [] Stremeler, F., G., Itrodutio to Commuiatio Systems, Third editio, Addiso-Wesley,99. [] Lathi, B., P., Commuiatio Systems, Joh Wiley & Sos, I., 968.
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 informationSummation 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 informationChapter 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 informationVibratory 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 informationSignal 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 information4. Optical Resonators
S. Blair September 3, 2003 47 4. Optial Resoators Optial resoators are used to build up large itesities with moderate iput. Iput Iteral Resoators are typially haraterized by their quality fator: Q w stored
More informationAfter 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 informationGeneralizing the DTFT. The z Transform. Complex Exponential Excitation. The Transfer Function. Systems Described by Difference Equations
Geeraliig the DTFT The Trasform M. J. Roberts - All Rights Reserved. Edited by Dr. Robert Akl 1 The forward DTFT is defied by X e jω = x e jω i which = Ω is discrete-time radia frequecy, a real variable.
More informationAnalog 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 informationBernoulli Numbers. n(n+1) = n(n+1)(2n+1) = n(n 1) 2
Beroulli Numbers Beroulli umbers are amed after the great Swiss mathematiia Jaob Beroulli5-705 who used these umbers i the power-sum problem. The power-sum problem is to fid a formula for the sum of the
More informationEE / EEE SAMPLE STUDY MATERIAL. GATE, IES & PSUs Signal System. Electrical Engineering. Postal Correspondence Course
Sigal-EE Postal Correspodece Course 1 SAMPLE STUDY MATERIAL Electrical Egieerig EE / EEE Postal Correspodece Course GATE, IES & PSUs Sigal System Sigal-EE Postal Correspodece Course CONTENTS 1. SIGNAL
More informationANOTHER 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 information5.1. Periodic Signals: A signal f(t) is periodic iff for some T 0 > 0,
5. Periodic Sigals: A sigal f(t) is periodic iff for some >, f () t = f ( t + ) i t he smallest value that satisfies the above coditios is called the period of f(t). Cosider a sigal examied over to 5 secods
More informationDr R Tiwari, Associate Professor, Dept. of Mechanical Engg., IIT Guwahati,
Dr R Tiwari, Assoiate Professor, Dept. of Mehaial Egg., IIT Guwahati, (rtiwari@iitg.eret.i).3 Measuremet ad Sigal Proessig Whe we ivestigate the auses of vibratio, we first ivestigate the relatioship betwee
More informationClass #25 Wednesday, April 19, 2018
Cla # Wedesday, April 9, 8 PDE: More Heat Equatio with Derivative Boudary Coditios Let s do aother heat equatio problem similar to the previous oe. For this oe, I ll use a square plate (N = ), but I m
More information3. Z Transform. Recall that the Fourier transform (FT) of a DT signal xn [ ] is ( ) [ ] = In order for the FT to exist in the finite magnitude sense,
3. Z Trasform Referece: Etire Chapter 3 of text. Recall that the Fourier trasform (FT) of a DT sigal x [ ] is ω ( ) [ ] X e = j jω k = xe I order for the FT to exist i the fiite magitude sese, S = x [
More informationSx [ ] = x must yield a
Math -b Leture #5 Notes This wee we start with a remider about oordiates of a vetor relative to a basis for a subspae ad the importat speial ase where the subspae is all of R. This freedom to desribe vetors
More informationTHE 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 informationFrequency Response of FIR Filters
EEL335: Discrete-Time Sigals ad Systems. Itroductio I this set of otes, we itroduce the idea of the frequecy respose of LTI systems, ad focus specifically o the frequecy respose of FIR filters.. Steady-state
More informationThe z-transform. 7.1 Introduction. 7.2 The z-transform Derivation of the z-transform: x[n] = z n LTI system, h[n] z = re j
The -Trasform 7. Itroductio Geeralie the complex siusoidal represetatio offered by DTFT to a represetatio of complex expoetial sigals. Obtai more geeral characteristics for discrete-time LTI systems. 7.
More informationFinite-length Discrete Transforms. Chapter 5, Sections
Fiite-legth Discrete Trasforms Chapter 5, Sectios 5.2-50 5.0 Dr. Iyad djafar Outlie The Discrete Fourier Trasform (DFT) Matrix Represetatio of DFT Fiite-legth Sequeces Circular Covolutio DFT Symmetry Properties
More informationOrthogonal transformations
Orthogoal trasformatios October 12, 2014 1 Defiig property The squared legth of a vector is give by takig the dot product of a vector with itself, v 2 v v g ij v i v j A orthogoal trasformatio is a liear
More informationx[0] x[1] x[2] Figure 2.1 Graphical representation of a discrete-time signal.
x[ ] x[ ] x[] x[] x[] x[] 9 8 7 6 5 4 3 3 4 5 6 7 8 9 Figure. Graphical represetatio of a discrete-time sigal. From Discrete-Time Sigal Processig, e by Oppeheim, Schafer, ad Buck 999- Pretice Hall, Ic.
More informationPrincipal Component Analysis
Priipal Compoet Aalysis Nuo Vasoelos (Ke Kreutz-Delgado) UCSD Curse of dimesioality Typial observatio i Bayes deisio theory: Error ireases whe umber of features is large Eve for simple models (e.g. Gaussia)
More information1. Nature of Impulse Response - Pole on Real Axis. z y(n) = r n. z r
. Nature of Impulse Respose - Pole o Real Axis Causal system trasfer fuctio: Hz) = z yz) = z r z z r y) = r r > : the respose grows mootoically > r > : y decays to zero mootoically r > : oscillatory, decayig
More informationPrincipal Component Analysis. Nuno Vasconcelos ECE Department, UCSD
Priipal Compoet Aalysis Nuo Vasoelos ECE Departmet, UCSD Curse of dimesioality typial observatio i Bayes deisio theory: error ireases whe umber of features is large problem: eve for simple models (e.g.
More informationExponential Moving Average Pieter P
Expoetial Movig Average Pieter P Differece equatio The Differece equatio of a expoetial movig average lter is very simple: y[] x[] + (1 )y[ 1] I this equatio, y[] is the curret output, y[ 1] is the previous
More informationSignals & Systems Chapter3
Sigals & Systems Chapter3 1.2 Discrete-Time (D-T) Sigals Electroic systems do most of the processig of a sigal usig a computer. A computer ca t directly process a C-T sigal but istead eeds a stream of
More information6.003 Homework #3 Solutions
6.00 Homework # Solutios Problems. Complex umbers a. Evaluate the real ad imagiary parts of j j. π/ Real part = Imagiary part = 0 e Euler s formula says that j = e jπ/, so jπ/ j π/ j j = e = e. Thus the
More informationELEG 4603/5173L Digital Signal Processing Ch. 1 Discrete-Time Signals and Systems
Departmet of Electrical Egieerig Uiversity of Arasas ELEG 4603/5173L Digital Sigal Processig Ch. 1 Discrete-Time Sigals ad Systems Dr. Jigxia Wu wuj@uar.edu OUTLINE 2 Classificatios of discrete-time sigals
More informationModule 18 Discrete Time Signals and Z-Transforms Objective: Introduction : Description: Discrete Time Signal representation
Module 8 Discrete Time Sigals ad Z-Trasforms Objective:To uderstad represetig discrete time sigals, apply z trasform for aalyzigdiscrete time sigals ad to uderstad the relatio to Fourier trasform Itroductio
More informationOlli Simula T / Chapter 1 3. Olli Simula T / Chapter 1 5
Sigals ad Systems Sigals ad Systems Sigals are variables that carry iformatio Systemstake sigals as iputs ad produce sigals as outputs The course deals with the passage of sigals through systems T-6.4
More informationComputer Science 188 Artificial Intelligence. Introduction to Probability. Probability Ryan Waliany
Computer Siee 88 Artifiial Itelligee Rya Waliay Note: this is meat to be a simple referee sheet ad help studets uder the derivatios. If there s aythig that seems shaky or iorret do t hesitate to email
More informationFaster DTMF Decoding
Faster DTMF Deodig J. B. Lima, R. M. Campello de Souza, H. M. de Olieira, M. M. Campello de Souza Departameto de Eletrôia e Sistemas - UFPE, Digital Sigal Proessig Group C.P. 78, 57-97, Reife-PE, Brasil
More informationFluids 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 informationCh3 Discrete Time Fourier Transform
Ch3 Discrete Time Fourier Trasform 3. Show that the DTFT of [] is give by ( k). e k 3. Determie the DTFT of the two sided sigal y [ ],. 3.3 Determie the DTFT of the causal sequece x[ ] A cos( 0 ) [ ],
More informationSolutions 3.2-Page 215
Solutios.-Page Problem Fid the geeral solutios i powers of of the differetial equatios. State the reurree relatios ad the guarateed radius of overgee i eah ase. ) Substitutig,, ad ito the differetial equatio
More informationChapter 15: Fourier Series
Chapter 5: Fourier Series Ex. 5.3- Ex. 5.3- Ex. 5.- f(t) K is a Fourier Series. he coefficiets are a K; a b for. f(t) AcosZ t is a Fourier Series. a A ad all other coefficiets are zero. Set origi at t,
More informationComplex Numbers Solutions
Complex Numbers Solutios Joseph Zoller February 7, 06 Solutios. (009 AIME I Problem ) There is a complex umber with imagiary part 64 ad a positive iteger such that Fid. [Solutio: 697] 4i + + 4i. 4i 4i
More informationME260W Mid-Term Exam Instructor: Xinyu Huang Date: Mar
ME60W Mid-Term Exam Istrutor: Xiyu Huag Date: Mar-03-005 Name: Grade: /00 Problem. A atilever beam is to be used as a sale. The bedig momet M at the gage loatio is P*L ad the strais o the top ad the bottom
More informationMa 4121: Introduction to Lebesgue Integration Solutions to Homework Assignment 5
Ma 42: Itroductio to Lebesgue Itegratio Solutios to Homework Assigmet 5 Prof. Wickerhauser Due Thursday, April th, 23 Please retur your solutios to the istructor by the ed of class o the due date. You
More informationME203 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 informationMAT 271 Project: Partial Fractions for certain rational functions
MAT 7 Project: Partial Fractios for certai ratioal fuctios Prerequisite kowledge: partial fractios from MAT 7, a very good commad of factorig ad complex umbers from Precalculus. To complete this project,
More informationMathematical Description of Discrete-Time Signals. 9/10/16 M. J. Roberts - All Rights Reserved 1
Mathematical Descriptio of Discrete-Time Sigals 9/10/16 M. J. Roberts - All Rights Reserved 1 Samplig ad Discrete Time Samplig is the acquisitio of the values of a cotiuous-time sigal at discrete poits
More informationLesson 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 informationDIGITAL MEASUREMENT OF POWER SYSTEM HARMONIC MAGNITUDE AND PHASE ANGLE
DIGIL MESUREMEN OF POWER SYSEM HRMONIC MGNIUDE ND PHSE NGLE R Micheletti (, R Pieri ( ( Departmet of Electrical Systems ad utomatio, Uiversity of Pisa, Via Diotisalvi, I-566 Pisa, Italy Phoe +39 5 565,
More informationExplicit and closed formed solution of a differential equation. Closed form: since finite algebraic combination of. converges for x x0
Chapter 4 Series Solutios Epliit ad losed formed solutio of a differetial equatio y' y ; y() 3 ( ) ( 5 e ) y Closed form: sie fiite algebrai ombiatio of elemetary futios Series solutio: givig y ( ) as
More informationChapter 7: The z-transform. Chih-Wei Liu
Chapter 7: The -Trasform Chih-Wei Liu Outlie Itroductio The -Trasform Properties of the Regio of Covergece Properties of the -Trasform Iversio of the -Trasform The Trasfer Fuctio Causality ad Stability
More informationIntroduction to Signals and Systems, Part V: Lecture Summary
EEL33: Discrete-Time Sigals ad Systems Itroductio to Sigals ad Systems, Part V: Lecture Summary Itroductio to Sigals ad Systems, Part V: Lecture Summary So far we have oly looked at examples of o-recursive
More informationMTH112 Trigonometry 2 2 2, 2. 5π 6. cscθ = 1 sinθ = r y. secθ = 1 cosθ = r x. cotθ = 1 tanθ = cosθ. central angle time. = θ t.
MTH Trigoometry,, 5, 50 5 0 y 90 0, 5 0,, 80 0 0 0 (, 0) x, 7, 0 5 5 0, 00 5 5 0 7,,, Defiitios: siθ = opp. hyp. = y r cosθ = adj. hyp. = x r taθ = opp. adj. = siθ cosθ = y x cscθ = siθ = r y secθ = cosθ
More informationENGI Series Page 6-01
ENGI 3425 6 Series Page 6-01 6. Series Cotets: 6.01 Sequeces; geeral term, limits, covergece 6.02 Series; summatio otatio, covergece, divergece test 6.03 Stadard Series; telescopig series, geometric series,
More informationCourse 4: Preparation for Calculus Unit 1: Families of Functions
Course 4: Preparatio for Calculus Uit 1: Families of Fuctios Review ad exted properties of basic fuctio families ad their uses i mathematical modelig Develop strategies for fidig rules of fuctios whose
More informationradians A function f ( x ) is called periodic if it is defined for all real x and if there is some positive number P such that:
Fourier Series. Graph of y Asix ad y Acos x Amplitude A ; period 36 radias. Harmoics y y six is the first harmoic y y six is the th harmoics 3. Periodic fuctio A fuctio f ( x ) is called periodic if it
More informationλ = 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 informationProduction Test of Rotary Compressors Using Wavelet Analysis
Purdue Uiversity Purdue e-pubs Iteratioal Compressor Egieerig Coferee Shool of Mehaial Egieerig 2006 Produtio Test of Rotary Compressors Usig Wavelet Aalysis Haishui Ji Shaghai Hitahi Eletrial Appliatio
More informationThe picture in figure 1.1 helps us to see that the area represents the distance traveled. Figure 1: Area represents distance travelled
1 Lecture : Area Area ad distace traveled Approximatig area by rectagles Summatio The area uder a parabola 1.1 Area ad distace Suppose we have the followig iformatio about the velocity of a particle, how
More informationAbstract. Fermat's Last Theorem Proved on a Single Page. "The simplest solution is usually the best solution"---albert Einstein
Copyright A. A. Frempog Fermat's Last Theorem Proved o a Sigle Page "5% of the people thik; 0% of the people thik that they thik; ad the other 85% would rather die tha thik."----thomas Ediso "The simplest
More informationy[ n] = sin(2" # 3 # n) 50
Period of a Discrete Siusoid y[ ] si( ) 5 T5 samples y[ ] y[ + 5] si() si() [ ] si( 3 ) 5 y[ ] y[ + T] T?? samples [iteger] 5/3 iteger y irratioal frequecy ysi(pisqrt()/5) - - TextEd si( t) T sec cotiuous
More informationSinusoidal Steady-state Analysis
Siusoidal Steady-state Aalysis Complex umber reviews Phasors ad ordiary differetial equatios Complete respose ad siusoidal steady-state respose Cocepts of impedace ad admittace Siusoidal steady-state aalysis
More informationSOME NOTES ON INEQUALITIES
SOME NOTES ON INEQUALITIES Rihard Hoshio Here are four theorems that might really be useful whe you re workig o a Olympiad problem that ivolves iequalities There are a buh of obsure oes Chebyheff, Holder,
More informationLecture 8. Dirac and Weierstrass
Leture 8. Dira ad Weierstrass Audrey Terras May 5, 9 A New Kid of Produt of Futios You are familiar with the poitwise produt of futios de ed by f g(x) f(x) g(x): You just tae the produt of the real umbers
More informationDiscrete-Time Systems, LTI Systems, and Discrete-Time Convolution
EEL5: Discrete-Time Sigals ad Systems. Itroductio I this set of otes, we begi our mathematical treatmet of discrete-time s. As show i Figure, a discrete-time operates or trasforms some iput sequece x [
More informationPractical Spectral Anaysis (continue) (from Boaz Porat s book) Frequency Measurement
Practical Spectral Aaysis (cotiue) (from Boaz Porat s book) Frequecy Measuremet Oe of the most importat applicatios of the DFT is the measuremet of frequecies of periodic sigals (eg., siusoidal sigals),
More informationSignal Processing in Mechatronics
Sigal Processig i Mechatroics Zhu K.P. AIS, UM. Lecture, Brief itroductio to Sigals ad Systems, Review of Liear Algebra ad Sigal Processig Related Mathematics . Brief Itroductio to Sigals What is sigal
More information1.3 Convergence Theorems of Fourier Series. k k k k. N N k 1. With this in mind, we state (without proof) the convergence of Fourier series.
.3 Covergece Theorems of Fourier Series I this sectio, we preset the covergece of Fourier series. A ifiite sum is, by defiitio, a limit of partial sums, that is, a cos( kx) b si( kx) lim a cos( kx) b si(
More informationChapter 2 Systems and Signals
Chapter 2 Systems ad Sigals 1 Itroductio Discrete-Time Sigals: Sequeces Discrete-Time Systems Properties of Liear Time-Ivariat Systems Liear Costat-Coefficiet Differece Equatios Frequecy-Domai Represetatio
More informationFIR 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 informationAPPENDIX F Complex Numbers
APPENDIX F Complex Numbers Operatios with Complex Numbers Complex Solutios of Quadratic Equatios Polar Form of a Complex Number Powers ad Roots of Complex Numbers Operatios with Complex Numbers Some equatios
More information: Transforms and Partial Differential Equations
Trasforms ad Partial Differetial Equatios 018 SUBJECT NAME : Trasforms ad Partial Differetial Equatios SUBJECT CODE : MA 6351 MATERIAL NAME : Part A questios REGULATION : R013 WEBSITE : wwwharigaeshcom
More informationSIGNAL PROCESSING & SIMULATION NEWSLETTER
SIGNAL PROCESSING & SIMULAION NEWSLEER Fourier aalysis made Easy Part Jea Baptiste Joseph, Baro de Fourier, 768-83 While studyig heat coductio i materials, Baro Fourier (a title give to him by Napoleo)
More information2 Geometric interpretation of complex numbers
2 Geometric iterpretatio of complex umbers 2.1 Defiitio I will start fially with a precise defiitio, assumig that such mathematical object as vector space R 2 is well familiar to the studets. Recall that
More informationFrequency Domain Filtering
Frequecy Domai Filterig Raga Rodrigo October 19, 2010 Outlie Cotets 1 Itroductio 1 2 Fourier Represetatio of Fiite-Duratio Sequeces: The Discrete Fourier Trasform 1 3 The 2-D Discrete Fourier Trasform
More informationAppendix F: Complex Numbers
Appedix F Complex Numbers F1 Appedix F: Complex Numbers Use the imagiary uit i to write complex umbers, ad to add, subtract, ad multiply complex umbers. Fid complex solutios of quadratic equatios. Write
More informationLecture 7: Polar representation of complex numbers
Lecture 7: Polar represetatio of comple umbers See FLAP Module M3.1 Sectio.7 ad M3. Sectios 1 ad. 7.1 The Argad diagram I two dimesioal Cartesia coordiates (,), we are used to plottig the fuctio ( ) with
More informationj=1 dz Res(f, z j ) = 1 d k 1 dz k 1 (z c)k f(z) Res(f, c) = lim z c (k 1)! Res g, c = f(c) g (c)
Problem. Compute the itegrals C r d for Z, where C r = ad r >. Recall that C r has the couter-clockwise orietatio. Solutio: We will use the idue Theorem to solve this oe. We could istead use other (perhaps
More informationDefinition of z-transform.
- Trasforms Frequecy domai represetatios of discretetime sigals ad LTI discrete-time systems are made possible with the use of DTFT. However ot all discrete-time sigals e.g. uit step sequece are guarateed
More informationHomework 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 informationCALCULUS BASIC SUMMER REVIEW
CALCULUS BASIC SUMMER REVIEW NAME rise y y y Slope of a o vertical lie: m ru Poit Slope Equatio: y y m( ) The slope is m ad a poit o your lie is, ). ( y Slope-Itercept Equatio: y m b slope= m y-itercept=
More informationReview of Discrete-time Signals. ELEC 635 Prof. Siripong Potisuk
Review of Discrete-time Sigals ELEC 635 Prof. Siripog Potisuk 1 Discrete-time Sigals Discrete-time, cotiuous-valued amplitude (sampled-data sigal) Discrete-time, discrete-valued amplitude (digital sigal)
More informationOrthogonal Functions
Royal Holloway Uiversity of odo Departet of Physics Orthogoal Fuctios Motivatio Aalogy with vectors You are probably failiar with the cocept of orthogoality fro vectors; two vectors are orthogoal whe they
More informationNonstandard 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 informationAlgorithms. Elementary Sorting. Dong Kyue Kim Hanyang University
Algorithms Elemetary Sortig Dog Kyue Kim Hayag Uiversity dqkim@hayag.a.kr Cotets Sortig problem Elemetary sortig algorithms Isertio sort Merge sort Seletio sort Bubble sort Sortig problem Iput A sequee
More informationSignal Processing. Lecture 02: Discrete Time Signals and Systems. Ahmet Taha Koru, Ph. D. Yildiz Technical University.
Sigal Processig Lecture 02: Discrete Time Sigals ad Systems Ahmet Taha Koru, Ph. D. Yildiz Techical Uiversity 2017-2018 Fall ATK (YTU) Sigal Processig 2017-2018 Fall 1 / 51 Discrete Time Sigals Discrete
More informationSECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES
SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES Read Sectio 1.5 (pages 5 9) Overview I Sectio 1.5 we lear to work with summatio otatio ad formulas. We will also itroduce a brief overview of sequeces,
More informationM2.The Z-Transform and its Properties
M2.The Z-Trasform ad its Properties Readig Material: Page 94-126 of chapter 3 3/22/2011 I. Discrete-Time Sigals ad Systems 1 What did we talk about i MM1? MM1 - Discrete-Time Sigal ad System 3/22/2011
More information6.003: Signal Processing
6.003: Sigal Processig Discrete-Time Fourier Series orthogoality of harmoically related DT siusoids DT Fourier series relatios differeces betwee CT ad DT Fourier series properties of DT Fourier series
More informationPatterns in Complex Numbers An analytical paper on the roots of a complex numbers and its geometry
IB MATHS HL POTFOLIO TYPE Patters i Complex Numbers A aalytical paper o the roots of a complex umbers ad its geometry i Syed Tousif Ahmed Cadidate Sessio Number: 0066-009 School Code: 0066 Sessio: May
More informationLecture 3. Digital Signal Processing. Chapter 3. z-transforms. Mikael Swartling Nedelko Grbic Bengt Mandersson. rev. 2016
Lecture 3 Digital Sigal Processig Chapter 3 z-trasforms Mikael Swartlig Nedelko Grbic Begt Madersso rev. 06 Departmet of Electrical ad Iformatio Techology Lud Uiversity z-trasforms We defie the z-trasform
More information= 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 informationJitter Transfer Functions For The Reference Clock Jitter In A Serial Link: Theory And Applications
Jitter Trasfer Fuctios For The Referece Clock Jitter I A Serial Lik: Theory Ad Applicatios Mike Li, Wavecrest Ady Martwick, Itel Gerry Talbot, AMD Ja Wilstrup, Teradye Purposes Uderstad various jitter
More informationThe structure of Fourier series
The structure of Fourier series Valery P Dmitriyev Lomoosov Uiversity, Russia Date: February 3, 2011) Fourier series is costructe basig o the iea to moel the elemetary oscillatio 1, +1) by the expoetial
More informationε > 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 information6.003 Homework #12 Solutions
6.003 Homework # Solutios Problems. Which are rue? For each of the D sigals x [] through x 4 [] below), determie whether the coditios listed i the followig table are satisfied, ad aswer for true or F for
More informationLecture 3: Divide and Conquer: Fast Fourier Transform
Lecture 3: Divide ad Coquer: Fast Fourier Trasform Polyomial Operatios vs. Represetatios Divide ad Coquer Algorithm Collapsig Samples / Roots of Uity FFT, IFFT, ad Polyomial Multiplicatio Polyomial operatios
More informationAnalog and Digital Signals. Introduction to Digital Signal Processing. Discrete-time Sinusoids. Analog and Digital Signals
Itroductio to Digital Sigal Processig Chapter : Itroductio Aalog ad Digital Sigals aalog = cotiuous-time cotiuous amplitude digital = discrete-time discrete amplitude cotiuous amplitude discrete amplitude
More informationExample Items. Pre-Calculus Pre-AP
Example Items Pre-alculus Pre-P Pre-alculus Pre-P Example Items are a represetative set of items for the P. Teachers may use this set of items alog with the test blueprit as guides to prepare studets for
More informationSecond day August 2, Problems and Solutions
FOURTH INTERNATIONAL COMPETITION FOR UNIVERSITY STUDENTS IN MATHEMATICS July 30 August 4, 1997, Plovdiv, BULGARIA Secod day August, 1997 Problems ad Solutios Let Problem 1. Let f be a C 3 (R) o-egative
More informationDiscrete-Time Signals and Systems. Signals and Systems. Digital Signals. Discrete-Time Signals. Operations on Sequences: Basic Operations
-6.3 Digital Sigal Processig ad Filterig..8 Discrete-ime Sigals ad Systems ime-domai Represetatios of Discrete-ime Sigals ad Systems ime-domai represetatio of a discrete-time sigal as a sequece of umbers
More informationThe Discrete-Time Fourier Transform (DTFT)
EEL: Discrete-Time Sigals ad Systems The Discrete-Time Fourier Trasorm (DTFT) The Discrete-Time Fourier Trasorm (DTFT). Itroductio I these otes, we itroduce the discrete-time Fourier trasorm (DTFT) ad
More informationApply change-of-basis formula to rewrite x as a linear combination of eigenvectors v j.
Eigevalue-Eigevector Istructor: Nam Su Wag eigemcd Ay vector i real Euclidea space of dimesio ca be uiquely epressed as a liear combiatio of liearly idepedet vectors (ie, basis) g j, j,,, α g α g α g α
More information