DEPARTMENT OF ELECTRICAL AND ELECTRONIC ENGINEERING EXAMINATIONS 2008

Similar documents
ENGI 9420 Engineering Analysis Assignment 2 Solutions

LAPLACE TRANSFORM AND TRANSFER FUNCTION

EE 224 Signals and Systems I Complex numbers sinusodal signals Complex exponentials e jωt phasor addition

Q1) [20 points] answer for the following questions (ON THIS SHEET):

Chapter 1 Fundamental Concepts

Voltage/current relationship Stored Energy. RL / RC circuits Steady State / Transient response Natural / Step response

( ) ( ) if t = t. It must satisfy the identity. So, bulkiness of the unit impulse (hyper)function is equal to 1. The defining characteristic is

Signals and Systems Profs. Byron Yu and Pulkit Grover Fall Midterm 1 Solutions

Continuous Time. Time-Domain System Analysis. Impulse Response. Impulse Response. Impulse Response. Impulse Response. ( t) + b 0.

5. Response of Linear Time-Invariant Systems to Random Inputs

e 2t u(t) e 2t u(t) =?

Laplace Transforms. Examples. Is this equation differential? y 2 2y + 1 = 0, y 2 2y + 1 = 0, (y ) 2 2y + 1 = cos x,

EE 313 Linear Signals & Systems (Fall 2018) Solution Set for Homework #8 on Continuous-Time Signals & Systems

EECS20n, Solution to Midterm 2, 11/17/00

Signal and System (Chapter 3. Continuous-Time Systems)

EECE 301 Signals & Systems Prof. Mark Fowler

System Processes input signal (excitation) and produces output signal (response)

EECE 301 Signals & Systems Prof. Mark Fowler

6.003 Homework #9 Solutions

EECS 2602 Winter Laboratory 3 Fourier series, Fourier transform and Bode Plots in MATLAB

6.003 Homework #9 Solutions

10. State Space Methods

Chapter 4 The Fourier Series and Fourier Transform

Notes 04 largely plagiarized by %khc

ADDITIONAL PROBLEMS (a) Find the Fourier transform of the half-cosine pulse shown in Fig. 2.40(a). Additional Problems 91

Chapter One Fourier Series and Fourier Transform

8. Basic RL and RC Circuits

( ) ( ) ( ) () () Signals And Systems Exam#1. 1. Given x(t) and y(t) below: x(t) y(t) (A) Give the expression of x(t) in terms of step functions.

6.003 Homework #8 Solutions

Simulation-Solving Dynamic Models ABE 5646 Week 2, Spring 2010

Delhi Noida Bhopal Hyderabad Jaipur Lucknow Indore Pune Bhubaneswar Kolkata Patna Web: Ph:

EECE.3620 Signal and System I

EE 301 Lab 2 Convolution

Laplace transfom: t-translation rule , Haynes Miller and Jeremy Orloff

Lecture 13 RC/RL Circuits, Time Dependent Op Amp Circuits

Laplace Transform and its Relation to Fourier Transform

Guest Lectures for Dr. MacFarlane s EE3350 Part Deux

The complex Fourier series has an important limiting form when the period approaches infinity, i.e., T 0. 0 since it is proportional to 1/L, but

Signal processing. A. Sestieri Dipartimento di Meccanica e Aeronautica University La Sapienza, Rome

Solutions of Sample Problems for Third In-Class Exam Math 246, Spring 2011, Professor David Levermore

Block Diagram of a DCS in 411

f t te e = possesses a Laplace transform. Exercises for Module-III (Transform Calculus)

CHAPTER 2 Signals And Spectra

Differential Equations

SOLUTIONS TO ECE 3084

Representing a Signal. Continuous-Time Fourier Methods. Linearity and Superposition. Real and Complex Sinusoids. Jean Baptiste Joseph Fourier

Math 334 Fall 2011 Homework 11 Solutions

(1) (2) Differentiation of (1) and then substitution of (3) leads to. Therefore, we will simply consider the second-order linear system given by (4)

Solutions - Midterm Exam

Math Final Exam Solutions

δ (τ )dτ denotes the unit step function, and

Chapter 6. Laplace Transforms

DEPARTMENT OF ELECTRICAL AND ELECTRONIC ENGINEERING EXAMINATIONS 2010

BEng (Hons) Telecommunications. Examinations for / Semester 2

Section 3.5 Nonhomogeneous Equations; Method of Undetermined Coefficients

Chapter 8 The Complete Response of RL and RC Circuits

ME 391 Mechanical Engineering Analysis

Complete solutions to Exercise 14(b) 1. Very similar to EXAMPLE 4. We have same characteristic equation:

Sample Final Exam (finals03) Covering Chapters 1-9 of Fundamentals of Signals & Systems

III-A. Fourier Series Expansion

Chapter 2 : Fourier Series. Chapter 3 : Fourier Series

Traveling Waves. Chapter Introduction

Solution of Integro-Differential Equations by Using ELzaki Transform

EELE Lecture 8 Example of Fourier Series for a Triangle from the Fourier Transform. Homework password is: 14445

Chapter 7 Response of First-order RL and RC Circuits

Continuous Time Linear Time Invariant (LTI) Systems. Dr. Ali Hussein Muqaibel. Introduction

System of Linear Differential Equations

Lecture 1 Overview. course mechanics. outline & topics. what is a linear dynamical system? why study linear systems? some examples

Chapter 3: Signal Transmission and Filtering. A. Bruce Carlson Paul B. Crilly 2010 The McGraw-Hill Companies

Homework 6 AERE331 Spring 2019 Due 4/24(W) Name Sec. 1 / 2

Class Meeting # 10: Introduction to the Wave Equation

Some Basic Information about M-S-D Systems

6.302 Feedback Systems Recitation 4: Complex Variables and the s-plane Prof. Joel L. Dawson

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

2 int T. is the Fourier transform of f(t) which is the inverse Fourier transform of f. i t e

RC, RL and RLC circuits

ES 250 Practice Final Exam

Chapter 6. Laplace Transforms

23.5. Half-Range Series. Introduction. Prerequisites. Learning Outcomes

h[n] is the impulse response of the discrete-time system:

ME 452 Fourier Series and Fourier Transform

6.2 Transforms of Derivatives and Integrals.

Variational Iteration Method for Solving System of Fractional Order Ordinary Differential Equations

6.003 Homework #13 Solutions

Lecture 2: Optics / C2: Quantum Information and Laser Science

INDEX. Transient analysis 1 Initial Conditions 1

18.03SC Unit 3 Practice Exam and Solutions

Signals and Systems Linear Time-Invariant (LTI) Systems

Signals and Systems Prof. Brian L. Evans Dept. of Electrical and Computer Engineering The University of Texas at Austin

EE102 Homework 5 and 6 Solutions

Hamilton- J acobi Equation: Explicit Formulas In this lecture we try to apply the method of characteristics to the Hamilton-Jacobi equation: u t

Lectures 29 and 30 BIQUADRATICS AND STATE SPACE OP AMP REALIZATIONS. I. Introduction

MA 214 Calculus IV (Spring 2016) Section 2. Homework Assignment 1 Solutions

KEY. Math 334 Midterm III Winter 2008 section 002 Instructor: Scott Glasgow

Problemas das Aulas Práticas

ψ(t) = V x (0)V x (t)

Outline Chapter 2: Signals and Systems

6.003: Signal Processing

Time Domain Transfer Function of the Induction Motor

STATE-SPACE MODELLING. A mass balance across the tank gives:

Transcription:

[E5] IMPERIAL COLLEGE LONDON DEPARTMENT OF ELECTRICAL AND ELECTRONIC ENGINEERING EXAMINATIONS 008 EEE/ISE PART II MEng BEng and ACGI SIGNALS AND LINEAR SYSTEMS Time allowed: :00 hours There are FOUR quesions on his paper Q is compulsory Answer Q and any wo of quesions -4 Q carries 40% of he marks Quesions o 4 carry equal marks (30% each) Any special insrucions for invigilaors and informaion for candidaes are on page Firs Marker: Second Marker: Peer Y K Cheung M M Draief

[E5] Special insrucions for invigilaors: None Informaion for candidaes: None Page of 7

[E5] [Quesion is compulsory] a) Wih a single equaion, define he characerisic of a linear sysem j b) Find he even and odd componens of he signal x () = e θ [] [] c) A coninuous-ime signal x () is shown in Figure Skech he signals i) x ()[ u () u ( )] ii) 3 x () δ ( ) [3] [3] Figure d) Consider he RC circui shown in Figure Find he relaionship beween he inpu x () = v() and he oupu y () = i () in he form of: s i) a differenial equaion; [3] ii) a ransfer funcion [3] R + + v s () i() C V c () Figure 3 e) The uni impulse response of an LTI sysem is h () = e e u () Find he sysem s zero-sae response y () if he inpu x () = e u () Noe ha e e () () = () for λ λ λ λ λ λ λ λ e u e u u Page 3 of 7

[E5] f) Using he graphical mehod, find y () = x () h () where x () and h () are shown in Figure 3 Figure 3 g) Find he pole and zero locaions for a n sysem wih he ransfer funcion s s+ 5/ H() s = s + 5s+ 4 h) Given ha he Fourier ransform of he signal x () is X ( ω ), ie x () Xω ( ), prove from firs principle ha x e X jω0 ( 0) ( ω) i) Using he z-ransform pairs uk [ ] z k z and γ uk [ ] z z γ inverse z-ransform of zz ( 7) Fz [ ] = z 5z+ 4 j) A TV signal has a bandwidh of 45 MHz This signal is sampled and quanized wih an analogue-o-digial converer i) Deermine he sampling rae if he signal is o be sampled a a rae 0% above he Nyquis rae [] ii) If he samples are quanized ino 04 levels, deermine he bi-rae (ie bis/second) of he binary coded signal [] Page 4 of 7

[E5] a) Given he iniial condiions y (0) = 0 and y (0) = 0 0, find he uni impulse response of an LTI sysem specified by he equaion d y dy dx + 6 + 9 y ( ) = + 9 x ( ) d d d [5] b) An inpu signal f() is expressed in erms of sep componens as shown in Figure The sep componen a ime = τ has a heigh of Δ f which can be expressed as Δf Δ f = Δ τ = f ( τ) Δτ Δτ If g () is he uni sep response of an LTI sysem o he sep inpu u (), show ha he zero-sae response y () of he sysem o he inpu f() can be expressed as y () = f ( τ) g ( τ) dτ = f () g () [5] f() df dτ Δτ τ = nδτ Figure Page 5 of 7

[E5] 3 a) Find he Fourier ransform of he signal shown in Figure 3 using wo differen mehods: i) By direc inegraion using he definiion of he Fourier ransform [0] ii) Using only he ime-shifing propery and he Fourier ransform pair rec τ sinc ωτ τ [0] b) Given ha x / e dx= π, show ha he energy f E of a Gaussian pulse f() = e σ σ π is given by E f = σ π You should derive he energy E f from F( ω ) using he Parseval s heorem and he following Fourier ransform pair e / σ σ ω / σ π e [0] Figure 3 Page 6 of 7

[E5] 4 A discree-ime LTI sysem is specified by he difference equaion yk [ + ] 05 yk [ ] = f[ k+ ] + 08 f[ k] a) Derive is ransfer funcion in he z-domain [6] b) Find he ampliude and phase response of he sysem π c) Find he sysem response yk [ ] for he inpu f[ k] = cos(05 k ) 3 [0] [THE END] Page 7 of 7

E5 Signals and Linear Sysems Soluions 008 All quesions are unseen Quesion is compulsory Answer o Quesion a) If x y and x y, for a linear sysem, kx + kx ky + k y where k and k are consans [] b) Therefore, Even: cosθ Odd: j sinθ j x () = e θ = cosθ + jsinθ [] c) i) ii) [3] [3] Page of 7

d) i) v () = Ri() + v () s vc () = i( τ) dτ C x () = v(), y () = i () s Ry() + y( τ) dτ = x () C c Differeniae boh sides wr : dy dx R + y () = d C d dy dx + y () = d RC R d ii) Take Laplace ransform on boh sides: ( s+ ) Y() s = sx() s RC R [3] Y() s s H() s = = C X() s RCs+ [3] e) y () = h () x () 3 = ( e e ) u( ) e u( ) 3 = e u( ) e u( ) e u( ) e u( ) 3 ( e e ) ( e e ) = u () = e e u() 3 ( ) f) Page of 7

g) The complex zeros are given by: z z+ = 0 Therefore he zeros are a: ± -0 3 z= = ± j The poles are given by: p + 5p+ 5 = ( p+ 4)( p+ ) = 0 Therefore he poles are a: p = and p = 4 5 h) By definiion of Fourier ransform, Le τ = 0, jω FT of x ( ) = x ( ) e d 0 0 jω jωτ ( + 0 ) x ( 0) e d= x( τ) e d jω0 jωτ jω0 τ = e x( τ) e dτ = e X( ω) i) Divide F[z] by z, and perform parial fracion: Fz [ ] z 7 z 7 = = = z z 5z+ 4 ( z )( z 4) z z 4 z z Fz [ ] = z z 4 k f[ k] = [ 4 ] u[ k] j) 6 i) Nyquis rae is 45 0 = 9 MHz Therefore he acual sampling rae = 9 MHz =08 MHz ii) 04 levels require 0 bis per sample Therefore bi-rae is: 6 08 0 0 = 08 Mbis/sec [] [] Page 3 of 7

Answer o Quesion Express he differenial equaion in erms of D operaors: ( D + 6D+ 9) y() = (D+ 9) x() Q( D) y() = P( D) x() QD D D PD D ( ) = ( + 6 + 9), ( ) = ( + 9) The characerisic equaion is herefore: ( λ + 6λ+ 9) = 0 ( λ+ 3) = 0 y ( ) = ( c + c ) e and y ( ) = [ 3( c + c ) + c ] e 3 3 0 0 Seing = 0, and subsiuing 3 e y0 y 0 (0) = 0 and (0) =, gives 0= c c = 0 = 3c+ c c = y ( ) = e and y ( ) = ( 3+ ) e Now he impulse response can be calculaed: 3 3 0 0 h () = [ PD ( ) y()] u () 0 = [ y ( ) + 9 y ( )] u( ) 0 0 = + + 3 3 3 ( 6e e 9 e ) u( ) = + 3 ( 3 e ) u ( ) [5] a) The sysem response o u () is g (), and he response o he sep u ( τ ) is g ( τ ) (ime-invarian propery) Δf I is given ha Δ f = Δ τ = f ( τ) Δτ The sep componen a = nδ τ herefore has a Δτ heigh of f ( nδτ) Δτ, and can be expressed as f ( n τ ) τ Δ Δ u ( nδτ ) This gives a response Δ y () a he oupu, where Δ y () = f ( nδτ) Δτ g ( nδτ) Therefore, he oal response due o ALL sep componens is: y () = lim f ( nδτ) g ( nδτ) Δτ Δτ 0 n = = f ( τ) g( τ) dτ = f ( τ) g( τ) = f () g() [5] Page 4 of 7

Answer o Quesion 3 a) i) From definiion of Fourier ransform, jω F( ω) = f( ) e d 0 τ jω jω e d e d τ 0 = jω = e e jω jω 0 τ τ jω 0 jω jω = + e + e jω jω jω jω = + cos ωτ jω jω 4 sin ωτ = j ω ii) Express f() as sum of wo recangular funcions: + τ / τ / f () = rec rec τ τ Given ha rec ωτ τ sinc τ, apply ime-shifing propery gives Therefore ± τ / ωτ rec τ sinc τ ± j / e ωτ ωτ ωτ F( ω) = τ sinc e τ sinc e ωτ ωτ = j τ sinc sin 4 sin ωτ = j ω + jωτ / jωτ / [0] [0] Page 5 of 7

b) and f() = e σ σ π e σ π σ / e σ ω Parseval s Theorem saes: Given we obain: Ef = F( ω) dω π F( ω) = / e σ ω Ef e d π σ ω = ω x x Le σω =, hen σ ω = and dω = dx σ Therefore Ef = e dx= π σ σ π x / [0] Page 6 of 7

Answer o Quesion 4 a) Taking z-ransform of boh sides: zyz [ ] 05 Yz [ ] = zfz [ ] + 08 Fz [ ] Therefore Yz [ ] z+ 08 Hz [ ] = = Fz [ ] z 05 b) The frequency response is given by: jω jω e + 08 (cos Ω+ 08) + jsin Ω He [ ] = = jω e 05 (cosω 05) + jsin Ω Therefore, he ampliude response is jω jω jω He [ ] = He [ ] He [ ] jω jω ( e + 08)( e + 08) = jω jω ( e 05)( e 05) 64 + 6cosΩ = 5 cosω The phase response is j sin sin He [ Ω ] an Ω an Ω = cosω+ 08 cosω 05 π c) Since f[ k] = cos(05 k ), Ω= 05 3 Therefore j 64 + 6 cos 05 He [ Ω ] = = 874 5 cos 05 j He [ Ω ] = 86 j sin 05 sin 05 He [ Ω ] an an = cos05 + 08 cos05 05 = 0784 09037 = 0653 radian or 3583 Therfore, he sysem response is π yk [ ] = 86 cos(05k 0653) = 86 cos(05k 675) 3 Page 7 of 7