ECE 3084 QUIZ 2 SCHOOL OF ELECTRICAL AND COMPUTER ENGINEERING GEORGIA INSTITUTE OF TECHNOLOGY APRIL 2, Name:

Size: px
Start display at page:

Download "ECE 3084 QUIZ 2 SCHOOL OF ELECTRICAL AND COMPUTER ENGINEERING GEORGIA INSTITUTE OF TECHNOLOGY APRIL 2, Name:"

Transcription

1 ECE 3084 QUIZ 2 SCHOOL OF ELECTRICAL AND COMPUTER ENGINEERING GEORGIA INSTITUTE OF TECHNOLOGY APRIL 2, 205 Name:. The quiz is closed book, except for one 2-sided sheet of handwritten notes. 2. Turn off your phone and put it away. No tablets/laptops/wifi/etc. Calculators are OK. 3. Final answers must be entered into the answer box. 4. Correct answers must be accompanied by concise justifications to receive full credit. 5. Do not attach additional sheets. If necessary, use the back of the previous page. Problem Points Score TOTAL: 00

2 PROBLEM. (20 points) Be sure to label both axes, i.e. label important frequencies and amplitudes! The left-hand side of the figure below shows a continuous-time sinc signal s( t ) = sin(2 t)/( t) being fed to an AM modulator with carrier frequency 40 Hz, resulting in a modulated signal x( t ): s( t ) = sin2 t x( t ) x( t ) w( t ) IDEAL y( t ) t LPF H(j ) sin(80 t) sin(80 t) y( t ) [This AM modulator differs from the usual because it multiplies by sin(. ) instead of cos(. ).] The right-hand side shows a demodulator consisting of another multiplication by sin(. ), resulting in the signal w( t ), followed by an ideal LPF with an unspecified gain and cutoff frequency. (a) Sketch X(j ), the Fourier transform of the modulated signal x( t ). (b) Sketch W(j ), the Fourier transform of the signal w( t ).. YES NO (c) Can the LPF be designed so that its output is the same as the modulator input, i.e. to achieve y( t )= s( t )? (d) If YES, sketch below the frequency response H(j ) of the LPF that results in y( t )= s( t ); If NO, explain below why this is impossible:

3 PROBLEM 2. (20 points) Suppose that the continuous-time sinc signal x( t ) = sin(202 t)/(202 t) is sampled at an unspecified sampling rate f s, and that the samples are immediately fed to an ideal D-to-C converter (with the same f s parameter), producing the continuous-time output signal y( t ), as shown below: x( t ) x[ n ] y( t ) IDEAL C-to-D CONVERTER IDEAL D-to-C CONVERTER (a) The zero-th sample is x[0] =. f s (b) In order for the D-to-C converter to reconstruct the original signal (i.e., to achieve y( t ) = x( t )), the sampling frequency must satisfy: f s > Hz. (c) In the space below, carefully sketch the output Fourier transform Y(j ) when f s = 200 Hz, carefully labeling important frequencies and amplitudes: Y(j ) (d) There are an infinite number of sampling frequencies f s such that the output signal will be y( t ) = sin( f s t)/( f s t). Name any three: f s = Hz OR f s = Hz OR f s =

4 PROBLEM 3. (20 points) (a) The Laplace transform of x( t ) = (t 2 )u( t 2) is X( s ) =. s + 3 (b) The inverse Laplace transform of X( s ) = is x( t ) = ( )u( t ). ss (c) Find the differential equation that relates + s the output y( t ) and input x( t ) of an LTI system whose transfer function is H( s ) = ss + (d) The impulse response h( t ) of the system from part (c) approaches the constant h( ) = in the limit as time grows large.

5 PROBLEM 4. (20 points) Subject to the initial conditions x(0 ) = x ( 0 ) =, the following differential equation: d x( t ) + 9x( t ) = 0, dt 2 has the following solution: where: x( t ) = (A + Bcos(Ct) + Dsin(Et ) + Ft)u( t ), A = B = C = D = E = F =

6 PROBLEM 5. (20 points) An LTI system (zero initial conditions) with input x( t ) and output y( t ) obeys the following differential equation: d 2 y( t ) = 2x( t ) 20y( t ) d y( t ). dt 2 dt (a) Circle one: The system is [ overdamped ] [ underdamped ] [critically damped ]? (b) Its d.c. gain is H 0 =. (c) Its natural frequency is n = (in rad/s). (d) Its damping ratio is =. (e) The impulse response of this system is h( t ) = Ae Bt sin(ct), where: A = B = C =

7 Table of Fourier Transform Pairs Signal Name Time-Domain: x(t) Frequency-Domain: X(jω) Right-sided exponential e at u(t) (a > 0) Left-sided exponential e bt u( t) (b > 0) Square pulse sinc function [u(t + T/2) u(t T/2)] sin(ω 0 t) πt a + jω b jω sin(ωt/2) ω/2 [u(ω + ω 0 ) u(ω ω 0 )] Impulse δ(t) Shifted impulse δ(t t 0 ) e jωt 0 Complex exponential e jω 0t 2πδ(ω ω 0 ) General cosine A cos(ω 0 t + ϕ) πae jϕ δ(ω ω 0 ) + πae jϕ δ(ω + ω 0 ) Cosine cos(ω 0 t) πδ(ω ω 0 ) + πδ(ω + ω 0 ) Sine sin(ω 0 t) jπδ(ω ω 0 ) + jπδ(ω + ω 0 ) General periodic signal a k e jkω 0t 2πa k δ(ω kω 0 ) Impulse train k= n= δ(t nt ) k= 2π T k= δ(ω 2πk/T ) Table of Fourier Transform Properties Property Name Time-Domain x(t) Frequency-Domain X(jω) Linearity ax (t) + bx 2 (t) ax (jω) + bx 2 (jω) Conjugation x (t) X ( jω) Time-Reversal x( t) X( jω) Scaling f(at) a X(j(ω/a)) Delay x(t t d ) e jωt d X(jω) Modulation x(t)e jω 0t X(j(ω ω 0 )) Modulation x(t) cos(ω 0 t) 2 X(j(ω ω 0)) + 2 X(j(ω + ω 0)) d k x(t) Differentiation dt k (jω) k X(jω) Convolution x(t) h(t) X(jω)H(jω) Multiplication x(t)p(t) 2π X(jω) P (jω) Date 4-Sept-203

8 Table of Laplace Transform Pairs Signal Name Time-Domain: x(t) Laplace-Domain: X(s) Impulse δ(t) Delayed Impulse δ(t t 0 ), t 0 0 e st 0 Step u(t) Rectangular Pulse u(t) u(t T ), T > 0 Ramp tu(t) Polynomial t k u(t), k 0 Exponential e at u(t) Polynomial Exponential t k e at u(t) Cosine cos(ω 0 t)u(t) Sine sin(ω 0 t)u(t) Exponential Cosine e at cos(ω 0 t)u(t) Exponential Sine e at sin(ω 0 t)u(t) s e st s s 2 k! s k+ s + a k! (s + a) k+ s s 2 + ω 2 0 ω 0 s 2 + ω0 2 s + a (s + a) 2 + ω 2 0 ω 0 (s + a) 2 + ω 2 0 Table of Laplace Transform Properties Property Name Time-Domain: x(t) Laplace-Domain: X(s) Linearity αx (t) + βx 2 (t) αx (s) + βx 2 (s) Right-Shift x(t t 0 ), t 0 0 e st 0 X(s) Time Scaling x(at), a > 0 ( s ) a X a First Derivative ẋ(t) = d x(t) sx(s) x(0) dt Second Derivative Integration ẍ(t) = d2 dt 2 x(t) t 0 x(τ)dτ s2 X(s) sx(0) ẋ(0) X(s) s Modulation x(t)e at X(s a) Convolution x(t) h(t) X(s)H(s) Final Value Theorem Initial Value Theorem lim x(t), (if limit exists) t lim x(t), (if limit exists) t 0 lim sx(s) s 0 lim sx(s) s ECE3084: October 6, 203

ECE 3084 QUIZ 2 SCHOOL OF ELECTRICAL AND COMPUTER ENGINEERING GEORGIA INSTITUTE OF TECHNOLOGY MARCH 31, Name:

ECE 3084 QUIZ 2 SCHOOL OF ELECTRICAL AND COMPUTER ENGINEERING GEORGIA INSTITUTE OF TECHNOLOGY MARCH 31, Name: ECE 3084 QUIZ SCHOOL OF ELECTRICAL AND COMPUTER ENGINEERING GEORGIA INSTITUTE OF TECHNOLOGY MARCH 3, 07 Name:. The quiz is closed book, closed notes, except for one -sided sheet of handwritten notes..

More information

EE 3054: Signals, Systems, and Transforms Summer It is observed of some continuous-time LTI system that the input signal.

EE 3054: Signals, Systems, and Transforms Summer It is observed of some continuous-time LTI system that the input signal. EE 34: Signals, Systems, and Transforms Summer 7 Test No notes, closed book. Show your work. Simplify your answers. 3. It is observed of some continuous-time LTI system that the input signal = 3 u(t) produces

More information

Problem Value

Problem Value GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL of ELECTRICAL & COMPUTER ENGINEERING FINAL EXAM DATE: 30-Apr-04 COURSE: ECE-2025 NAME: GT #: LAST, FIRST Recitation Section: Circle the date & time when your Recitation

More information

GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL of ELECTRICAL & COMPUTER ENGINEERING FINAL EXAM. COURSE: ECE 3084A (Prof. Michaels)

GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL of ELECTRICAL & COMPUTER ENGINEERING FINAL EXAM. COURSE: ECE 3084A (Prof. Michaels) GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL of ELECTRICAL & COMPUTER ENGINEERING FINAL EXAM DATE: 30-Apr-14 COURSE: ECE 3084A (Prof. Michaels) NAME: STUDENT #: LAST, FIRST Write your name on the front page

More information

ECE 301. Division 3, Fall 2007 Instructor: Mimi Boutin Midterm Examination 3

ECE 301. Division 3, Fall 2007 Instructor: Mimi Boutin Midterm Examination 3 ECE 30 Division 3, all 2007 Instructor: Mimi Boutin Midterm Examination 3 Instructions:. Wait for the BEGIN signal before opening this booklet. In the meantime, read the instructions below and fill out

More information

Problem Value

Problem Value GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL of ELECTRICAL & COMPUTER ENGINEERING FINAL EXAM DATE: 30-Apr-04 COURSE: ECE-2025 NAME: GT #: LAST, FIRST Recitation Section: Circle the date & time when your Recitation

More information

Grades will be determined by the correctness of your answers (explanations are not required).

Grades will be determined by the correctness of your answers (explanations are not required). 6.00 (Fall 2011) Final Examination December 19, 2011 Name: Kerberos Username: Please circle your section number: Section Time 2 11 am 1 pm 4 2 pm Grades will be determined by the correctness of your answers

More information

Signals & Systems. Lecture 5 Continuous-Time Fourier Transform. Alp Ertürk

Signals & Systems. Lecture 5 Continuous-Time Fourier Transform. Alp Ertürk Signals & Systems Lecture 5 Continuous-Time Fourier Transform Alp Ertürk alp.erturk@kocaeli.edu.tr Fourier Series Representation of Continuous-Time Periodic Signals Synthesis equation: x t = a k e jkω

More information

Grades will be determined by the correctness of your answers (explanations are not required).

Grades will be determined by the correctness of your answers (explanations are not required). 6.00 (Fall 20) Final Examination December 9, 20 Name: Kerberos Username: Please circle your section number: Section Time 2 am pm 4 2 pm Grades will be determined by the correctness of your answers (explanations

More information

Fourier transform representation of CT aperiodic signals Section 4.1

Fourier transform representation of CT aperiodic signals Section 4.1 Fourier transform representation of CT aperiodic signals Section 4. A large class of aperiodic CT signals can be represented by the CT Fourier transform (CTFT). The (CT) Fourier transform (or spectrum)

More information

Definition of the Laplace transform. 0 x(t)e st dt

Definition of the Laplace transform. 0 x(t)e st dt Definition of the Laplace transform Bilateral Laplace Transform: X(s) = x(t)e st dt Unilateral (or one-sided) Laplace Transform: X(s) = 0 x(t)e st dt ECE352 1 Definition of the Laplace transform (cont.)

More information

ECE 301. Division 2, Fall 2006 Instructor: Mimi Boutin Midterm Examination 3

ECE 301. Division 2, Fall 2006 Instructor: Mimi Boutin Midterm Examination 3 ECE 30 Division 2, Fall 2006 Instructor: Mimi Boutin Midterm Examination 3 Instructions:. Wait for the BEGIN signal before opening this booklet. In the meantime, read the instructions below and fill out

More information

GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL of ELECTRICAL & COMPUTER ENGINEERING FINAL EXAM. COURSE: ECE 3084A (Prof. Michaels)

GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL of ELECTRICAL & COMPUTER ENGINEERING FINAL EXAM. COURSE: ECE 3084A (Prof. Michaels) GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL of ELECTRICAL & COMPUTER ENGINEERING FINAL EXAM DATE: 09-Dec-13 COURSE: ECE 3084A (Prof. Michaels) NAME: STUDENT #: LAST, FIRST Write your name on the front page

More information

ECE 301 Division 1, Fall 2006 Instructor: Mimi Boutin Final Examination

ECE 301 Division 1, Fall 2006 Instructor: Mimi Boutin Final Examination ECE 30 Division, all 2006 Instructor: Mimi Boutin inal Examination Instructions:. Wait for the BEGIN signal before opening this booklet. In the meantime, read the instructions below and fill out the requested

More information

ECE 301 Division 1, Fall 2008 Instructor: Mimi Boutin Final Examination Instructions:

ECE 301 Division 1, Fall 2008 Instructor: Mimi Boutin Final Examination Instructions: ECE 30 Division, all 2008 Instructor: Mimi Boutin inal Examination Instructions:. Wait for the BEGIN signal before opening this booklet. In the meantime, read the instructions below and fill out the requested

More information

Homework 4. May An LTI system has an input, x(t) and output y(t) related through the equation y(t) = t e (t t ) x(t 2)dt

Homework 4. May An LTI system has an input, x(t) and output y(t) related through the equation y(t) = t e (t t ) x(t 2)dt Homework 4 May 2017 1. An LTI system has an input, x(t) and output y(t) related through the equation y(t) = t e (t t ) x(t 2)dt Determine the impulse response of the system. Rewriting as y(t) = t e (t

More information

Signals and Systems Profs. Byron Yu and Pulkit Grover Fall Midterm 2 Solutions

Signals and Systems Profs. Byron Yu and Pulkit Grover Fall Midterm 2 Solutions 8-90 Signals and Systems Profs. Byron Yu and Pulkit Grover Fall 08 Midterm Solutions Name: Andrew ID: Problem Score Max 8 5 3 6 4 7 5 8 6 7 6 8 6 9 0 0 Total 00 Midterm Solutions. (8 points) Indicate whether

More information

EE 224 Signals and Systems I Review 1/10

EE 224 Signals and Systems I Review 1/10 EE 224 Signals and Systems I Review 1/10 Class Contents Signals and Systems Continuous-Time and Discrete-Time Time-Domain and Frequency Domain (all these dimensions are tightly coupled) SIGNALS SYSTEMS

More information

ECE 301 Division 1 Final Exam Solutions, 12/12/2011, 3:20-5:20pm in PHYS 114.

ECE 301 Division 1 Final Exam Solutions, 12/12/2011, 3:20-5:20pm in PHYS 114. ECE 301 Division 1 Final Exam Solutions, 12/12/2011, 3:20-5:20pm in PHYS 114. The exam for both sections of ECE 301 is conducted in the same room, but the problems are completely different. Your ID will

More information

Signals and Systems Spring 2004 Lecture #9

Signals and Systems Spring 2004 Lecture #9 Signals and Systems Spring 2004 Lecture #9 (3/4/04). The convolution Property of the CTFT 2. Frequency Response and LTI Systems Revisited 3. Multiplication Property and Parseval s Relation 4. The DT Fourier

More information

EC Signals and Systems

EC Signals and Systems UNIT I CLASSIFICATION OF SIGNALS AND SYSTEMS Continuous time signals (CT signals), discrete time signals (DT signals) Step, Ramp, Pulse, Impulse, Exponential 1. Define Unit Impulse Signal [M/J 1], [M/J

More information

6.003 (Fall 2011) Quiz #3 November 16, 2011

6.003 (Fall 2011) Quiz #3 November 16, 2011 6.003 (Fall 2011) Quiz #3 November 16, 2011 Name: Kerberos Username: Please circle your section number: Section Time 2 11 am 3 1 pm 4 2 pm Grades will be determined by the correctness of your answers (explanations

More information

Lecture 7 ELE 301: Signals and Systems

Lecture 7 ELE 301: Signals and Systems Lecture 7 ELE 30: Signals and Systems Prof. Paul Cuff Princeton University Fall 20-2 Cuff (Lecture 7) ELE 30: Signals and Systems Fall 20-2 / 22 Introduction to Fourier Transforms Fourier transform as

More information

School of Information Technology and Electrical Engineering EXAMINATION. ELEC3004 Signals, Systems & Control

School of Information Technology and Electrical Engineering EXAMINATION. ELEC3004 Signals, Systems & Control This exam paper must not be removed from the venue Venue Seat Number Student Number Family Name First Name School of Information Technology and Electrical Engineering EXAMINATION Semester One Final Examinations,

More information

Core Concepts Review. Orthogonality of Complex Sinusoids Consider two (possibly non-harmonic) complex sinusoids

Core Concepts Review. Orthogonality of Complex Sinusoids Consider two (possibly non-harmonic) complex sinusoids Overview of Continuous-Time Fourier Transform Topics Definition Compare & contrast with Laplace transform Conditions for existence Relationship to LTI systems Examples Ideal lowpass filters Relationship

More information

Table 1: Properties of the Continuous-Time Fourier Series. Property Periodic Signal Fourier Series Coefficients

Table 1: Properties of the Continuous-Time Fourier Series. Property Periodic Signal Fourier Series Coefficients able : Properties of the Continuous-ime Fourier Series x(t = e jkω0t = = x(te jkω0t dt = e jk(/t x(te jk(/t dt Property Periodic Signal Fourier Series Coefficients x(t y(t } Periodic with period and fundamental

More information

Chapter 4 The Fourier Series and Fourier Transform

Chapter 4 The Fourier Series and Fourier Transform Chapter 4 The Fourier Series and Fourier Transform Representation of Signals in Terms of Frequency Components Consider the CT signal defined by N xt () = Acos( ω t+ θ ), t k = 1 k k k The frequencies `present

More information

Chapter 4 The Fourier Series and Fourier Transform

Chapter 4 The Fourier Series and Fourier Transform Chapter 4 The Fourier Series and Fourier Transform Fourier Series Representation of Periodic Signals Let x(t) be a CT periodic signal with period T, i.e., xt ( + T) = xt ( ), t R Example: the rectangular

More information

Problem Value

Problem Value GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL of ELECTRICAL & COMPUTER ENGINEERING FINAL EXAM DATE: 2-May-05 COURSE: ECE-2025 NAME: GT #: LAST, FIRST (ex: gtz123a) Recitation Section: Circle the date & time when

More information

Final Exam of ECE301, Section 3 (CRN ) 8 10am, Wednesday, December 13, 2017, Hiler Thtr.

Final Exam of ECE301, Section 3 (CRN ) 8 10am, Wednesday, December 13, 2017, Hiler Thtr. Final Exam of ECE301, Section 3 (CRN 17101-003) 8 10am, Wednesday, December 13, 2017, Hiler Thtr. 1. Please make sure that it is your name printed on the exam booklet. Enter your student ID number, and

More information

School of Information Technology and Electrical Engineering EXAMINATION. ELEC3004 Signals, Systems & Control

School of Information Technology and Electrical Engineering EXAMINATION. ELEC3004 Signals, Systems & Control This exam paper must not be removed from the venue Venue Seat Number Student Number Family Name First Name School of Information Technology and Electrical Engineering EXAMINATION Semester One Final Examinations,

More information

Chapter 5 Frequency Domain Analysis of Systems

Chapter 5 Frequency Domain Analysis of Systems Chapter 5 Frequency Domain Analysis of Systems CT, LTI Systems Consider the following CT LTI system: xt () ht () yt () Assumption: the impulse response h(t) is absolutely integrable, i.e., ht ( ) dt< (this

More information

Lecture 8 ELE 301: Signals and Systems

Lecture 8 ELE 301: Signals and Systems Lecture 8 ELE 30: Signals and Systems Prof. Paul Cuff Princeton University Fall 20-2 Cuff (Lecture 7) ELE 30: Signals and Systems Fall 20-2 / 37 Properties of the Fourier Transform Properties of the Fourier

More information

Communication Theory Summary of Important Definitions and Results

Communication Theory Summary of Important Definitions and Results Signal and system theory Convolution of signals x(t) h(t) = y(t): Fourier Transform: Communication Theory Summary of Important Definitions and Results X(ω) = X(ω) = y(t) = X(ω) = j x(t) e jωt dt, 0 Properties

More information

Homework 7 Solution EE235, Spring Find the Fourier transform of the following signals using tables: te t u(t) h(t) = sin(2πt)e t u(t) (2)

Homework 7 Solution EE235, Spring Find the Fourier transform of the following signals using tables: te t u(t) h(t) = sin(2πt)e t u(t) (2) Homework 7 Solution EE35, Spring. Find the Fourier transform of the following signals using tables: (a) te t u(t) h(t) H(jω) te t u(t) ( + jω) (b) sin(πt)e t u(t) h(t) sin(πt)e t u(t) () h(t) ( ejπt e

More information

Problem Value Score No/Wrong Rec 3

Problem Value Score No/Wrong Rec 3 GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL of ELECTRICAL & COMPUTER ENGINEERING QUIZ #3 DATE: 21-Nov-11 COURSE: ECE-2025 NAME: GT username: LAST, FIRST (ex: gpburdell3) 3 points 3 points 3 points Recitation

More information

Chapter 5 Frequency Domain Analysis of Systems

Chapter 5 Frequency Domain Analysis of Systems Chapter 5 Frequency Domain Analysis of Systems CT, LTI Systems Consider the following CT LTI system: xt () ht () yt () Assumption: the impulse response h(t) is absolutely integrable, i.e., ht ( ) dt< (this

More information

ECE 3620: Laplace Transforms: Chapter 3:

ECE 3620: Laplace Transforms: Chapter 3: ECE 3620: Laplace Transforms: Chapter 3: 3.1-3.4 Prof. K. Chandra ECE, UMASS Lowell September 21, 2016 1 Analysis of LTI Systems in the Frequency Domain Thus far we have understood the relationship between

More information

Final Exam of ECE301, Prof. Wang s section 8 10am Tuesday, May 6, 2014, EE 129.

Final Exam of ECE301, Prof. Wang s section 8 10am Tuesday, May 6, 2014, EE 129. Final Exam of ECE301, Prof. Wang s section 8 10am Tuesday, May 6, 2014, EE 129. 1. Please make sure that it is your name printed on the exam booklet. Enter your student ID number, e-mail address, and signature

More information

Table 1: Properties of the Continuous-Time Fourier Series. Property Periodic Signal Fourier Series Coefficients

Table 1: Properties of the Continuous-Time Fourier Series. Property Periodic Signal Fourier Series Coefficients able : Properties of the Continuous-ime Fourier Series x(t = a k e jkω0t = a k = x(te jkω0t dt = a k e jk(/t x(te jk(/t dt Property Periodic Signal Fourier Series Coefficients x(t y(t } Periodic with period

More information

Final Exam of ECE301, Prof. Wang s section 1 3pm Tuesday, December 11, 2012, Lily 1105.

Final Exam of ECE301, Prof. Wang s section 1 3pm Tuesday, December 11, 2012, Lily 1105. Final Exam of ECE301, Prof. Wang s section 1 3pm Tuesday, December 11, 2012, Lily 1105. 1. Please make sure that it is your name printed on the exam booklet. Enter your student ID number, e-mail address,

More information

4 The Continuous Time Fourier Transform

4 The Continuous Time Fourier Transform 96 4 The Continuous Time ourier Transform ourier (or frequency domain) analysis turns out to be a tool of even greater usefulness Extension of ourier series representation to aperiodic signals oundation

More information

Chapter 6 THE SAMPLING PROCESS 6.1 Introduction 6.2 Fourier Transform Revisited

Chapter 6 THE SAMPLING PROCESS 6.1 Introduction 6.2 Fourier Transform Revisited Chapter 6 THE SAMPLING PROCESS 6.1 Introduction 6.2 Fourier Transform Revisited Copyright c 2005 Andreas Antoniou Victoria, BC, Canada Email: aantoniou@ieee.org July 14, 2018 Frame # 1 Slide # 1 A. Antoniou

More information

ELEN 4810 Midterm Exam

ELEN 4810 Midterm Exam ELEN 4810 Midterm Exam Wednesday, October 26, 2016, 10:10-11:25 AM. One sheet of handwritten notes is allowed. No electronics of any kind are allowed. Please record your answers in the exam booklet. Raise

More information

ECE Circuit Theory. Final Examination. December 5, 2008

ECE Circuit Theory. Final Examination. December 5, 2008 ECE 212 H1F Pg 1 of 12 ECE 212 - Circuit Theory Final Examination December 5, 2008 1. Policy: closed book, calculators allowed. Show all work. 2. Work in the provided space. 3. The exam has 3 problems

More information

The Johns Hopkins University Department of Electrical and Computer Engineering Introduction to Linear Systems Fall 2002.

The Johns Hopkins University Department of Electrical and Computer Engineering Introduction to Linear Systems Fall 2002. The Johns Hopkins University Department of Electrical and Computer Engineering 505.460 Introduction to Linear Systems Fall 2002 Final exam Name: You are allowed to use: 1. Table 3.1 (page 206) & Table

More information

NAME: ht () 1 2π. Hj0 ( ) dω Find the value of BW for the system having the following impulse response.

NAME: ht () 1 2π. Hj0 ( ) dω Find the value of BW for the system having the following impulse response. University of California at Berkeley Department of Electrical Engineering and Computer Sciences Professor J. M. Kahn, EECS 120, Fall 1998 Final Examination, Wednesday, December 16, 1998, 5-8 pm NAME: 1.

More information

ANALOG AND DIGITAL SIGNAL PROCESSING CHAPTER 3 : LINEAR SYSTEM RESPONSE (GENERAL CASE)

ANALOG AND DIGITAL SIGNAL PROCESSING CHAPTER 3 : LINEAR SYSTEM RESPONSE (GENERAL CASE) 3. Linear System Response (general case) 3. INTRODUCTION In chapter 2, we determined that : a) If the system is linear (or operate in a linear domain) b) If the input signal can be assumed as periodic

More information

Discrete Time Fourier Transform

Discrete Time Fourier Transform Discrete Time Fourier Transform Recall that we wrote the sampled signal x s (t) = x(kt)δ(t kt). We calculate its Fourier Transform. We do the following: Ex. Find the Continuous Time Fourier Transform of

More information

Final Exam of ECE301, Section 1 (Prof. Chih-Chun Wang) 1 3pm, Friday, December 13, 2016, EE 129.

Final Exam of ECE301, Section 1 (Prof. Chih-Chun Wang) 1 3pm, Friday, December 13, 2016, EE 129. Final Exam of ECE301, Section 1 (Prof. Chih-Chun Wang) 1 3pm, Friday, December 13, 2016, EE 129. 1. Please make sure that it is your name printed on the exam booklet. Enter your student ID number, and

More information

E2.5 Signals & Linear Systems. Tutorial Sheet 1 Introduction to Signals & Systems (Lectures 1 & 2)

E2.5 Signals & Linear Systems. Tutorial Sheet 1 Introduction to Signals & Systems (Lectures 1 & 2) E.5 Signals & Linear Systems Tutorial Sheet 1 Introduction to Signals & Systems (Lectures 1 & ) 1. Sketch each of the following continuous-time signals, specify if the signal is periodic/non-periodic,

More information

Transform Solutions to LTI Systems Part 3

Transform Solutions to LTI Systems Part 3 Transform Solutions to LTI Systems Part 3 Example of second order system solution: Same example with increased damping: k=5 N/m, b=6 Ns/m, F=2 N, m=1 Kg Given x(0) = 0, x (0) = 0, find x(t). The revised

More information

Circuit Analysis Using Fourier and Laplace Transforms

Circuit Analysis Using Fourier and Laplace Transforms EE2015: Electrical Circuits and Networks Nagendra Krishnapura https://wwweeiitmacin/ nagendra/ Department of Electrical Engineering Indian Institute of Technology, Madras Chennai, 600036, India July-November

More information

Final Exam ECE301 Signals and Systems Friday, May 3, Cover Sheet

Final Exam ECE301 Signals and Systems Friday, May 3, Cover Sheet Name: Final Exam ECE3 Signals and Systems Friday, May 3, 3 Cover Sheet Write your name on this page and every page to be safe. Test Duration: minutes. Coverage: Comprehensive Open Book but Closed Notes.

More information

Ch 4: The Continuous-Time Fourier Transform

Ch 4: The Continuous-Time Fourier Transform Ch 4: The Continuous-Time Fourier Transform Fourier Transform of x(t) Inverse Fourier Transform jt X ( j) x ( t ) e dt jt x ( t ) X ( j) e d 2 Ghulam Muhammad, King Saud University Continuous-time aperiodic

More information

George Mason University Signals and Systems I Spring 2016

George Mason University Signals and Systems I Spring 2016 George Mason University Signals and Systems I Spring 206 Problem Set #6 Assigned: March, 206 Due Date: March 5, 206 Reading: This problem set is on Fourier series representations of periodic signals. The

More information

FINAL EXAM. Problem Value Score No/Wrong Rec 3

FINAL EXAM. Problem Value Score No/Wrong Rec 3 GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL of ELECTRICAL & COMPUTER ENGINEERING FINAL EXAM DATE: 1-May-08 COURSE: ECE-2025 NAME: GT username: LAST, FIRST (ex: gpburdell3) 3 points 3 points 3 points Recitation

More information

Question Paper Code : AEC11T02

Question Paper Code : AEC11T02 Hall Ticket No Question Paper Code : AEC11T02 VARDHAMAN COLLEGE OF ENGINEERING (AUTONOMOUS) Affiliated to JNTUH, Hyderabad Four Year B. Tech III Semester Tutorial Question Bank 2013-14 (Regulations: VCE-R11)

More information

SIGNALS AND SYSTEMS: PAPER 3C1 HANDOUT 6. Dr Anil Kokaram Electronic and Electrical Engineering Dept.

SIGNALS AND SYSTEMS: PAPER 3C1 HANDOUT 6. Dr Anil Kokaram Electronic and Electrical Engineering Dept. SIGNALS AND SYSTEMS: PAPER 3C HANDOUT 6. Dr Anil Kokaram Electronic and Electrical Engineering Dept. anil.kokaram@tcd.ie www.mee.tcd.ie/ sigmedia FOURIER ANALYSIS Have seen how the behaviour of systems

More information

ECE 308 SIGNALS AND SYSTEMS SPRING 2013 Examination #2 14 March 2013

ECE 308 SIGNALS AND SYSTEMS SPRING 2013 Examination #2 14 March 2013 ECE 308 SIGNALS AND SYSTEMS SPRING 2013 Examination #2 14 March 2013 Name: Instructions: The examination lasts for 75 minutes and is closed book, closed notes. No electronic devices are permitted, including

More information

2A1H Time-Frequency Analysis II

2A1H Time-Frequency Analysis II 2AH Time-Frequency Analysis II Bugs/queries to david.murray@eng.ox.ac.uk HT 209 For any corrections see the course page DW Murray at www.robots.ox.ac.uk/ dwm/courses/2tf. (a) A signal g(t) with period

More information

Continuous-Time Fourier Transform

Continuous-Time Fourier Transform Signals and Systems Continuous-Time Fourier Transform Chang-Su Kim continuous time discrete time periodic (series) CTFS DTFS aperiodic (transform) CTFT DTFT Lowpass Filtering Blurring or Smoothing Original

More information

Assignment 4 Solutions Continuous-Time Fourier Transform

Assignment 4 Solutions Continuous-Time Fourier Transform Assignment 4 Solutions Continuous-Time Fourier Transform ECE 3 Signals and Systems II Version 1.01 Spring 006 1. Properties of complex numbers. Let c 1 α 1 + jβ 1 and c α + jβ be two complex numbers. a.

More information

Module 4. Related web links and videos. 1. FT and ZT

Module 4. Related web links and videos. 1.  FT and ZT Module 4 Laplace transforms, ROC, rational systems, Z transform, properties of LT and ZT, rational functions, system properties from ROC, inverse transforms Related web links and videos Sl no Web link

More information

Introduction to Fourier Transforms. Lecture 7 ELE 301: Signals and Systems. Fourier Series. Rect Example

Introduction to Fourier Transforms. Lecture 7 ELE 301: Signals and Systems. Fourier Series. Rect Example Introduction to Fourier ransforms Lecture 7 ELE 3: Signals and Systems Fourier transform as a limit of the Fourier series Inverse Fourier transform: he Fourier integral theorem Prof. Paul Cuff Princeton

More information

NAME: 13 February 2013 EE301 Signals and Systems Exam 1 Cover Sheet

NAME: 13 February 2013 EE301 Signals and Systems Exam 1 Cover Sheet NAME: February EE Signals and Systems Exam Cover Sheet Test Duration: 75 minutes. Coverage: Chaps., Open Book but Closed Notes. One 8.5 in. x in. crib sheet Calculators NOT allowed. This test contains

More information

LECTURE 12 Sections Introduction to the Fourier series of periodic signals

LECTURE 12 Sections Introduction to the Fourier series of periodic signals Signals and Systems I Wednesday, February 11, 29 LECURE 12 Sections 3.1-3.3 Introduction to the Fourier series of periodic signals Chapter 3: Fourier Series of periodic signals 3. Introduction 3.1 Historical

More information

2.161 Signal Processing: Continuous and Discrete Fall 2008

2.161 Signal Processing: Continuous and Discrete Fall 2008 MIT OpenCourseWare http://ocw.mit.edu 2.6 Signal Processing: Continuous and Discrete Fall 2008 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. MASSACHUSETTS

More information

EE Homework 13 - Solutions

EE Homework 13 - Solutions EE3054 - Homework 3 - Solutions. (a) The Laplace transform of e t u(t) is s+. The pole of the Laplace transform is at which lies in the left half plane. Hence, the Fourier transform is simply the Laplace

More information

Time Response Analysis (Part II)

Time Response Analysis (Part II) Time Response Analysis (Part II). A critically damped, continuous-time, second order system, when sampled, will have (in Z domain) (a) A simple pole (b) Double pole on real axis (c) Double pole on imaginary

More information

Figure 3.1 Effect on frequency spectrum of increasing period T 0. Consider the amplitude spectrum of a periodic waveform as shown in Figure 3.2.

Figure 3.1 Effect on frequency spectrum of increasing period T 0. Consider the amplitude spectrum of a periodic waveform as shown in Figure 3.2. 3. Fourier ransorm From Fourier Series to Fourier ransorm [, 2] In communication systems, we oten deal with non-periodic signals. An extension o the time-requency relationship to a non-periodic signal

More information

Series FOURIER SERIES. Graham S McDonald. A self-contained Tutorial Module for learning the technique of Fourier series analysis

Series FOURIER SERIES. Graham S McDonald. A self-contained Tutorial Module for learning the technique of Fourier series analysis Series FOURIER SERIES Graham S McDonald A self-contained Tutorial Module for learning the technique of Fourier series analysis Table of contents Begin Tutorial c 24 g.s.mcdonald@salford.ac.uk 1. Theory

More information

Time Response of Systems

Time Response of Systems Chapter 0 Time Response of Systems 0. Some Standard Time Responses Let us try to get some impulse time responses just by inspection: Poles F (s) f(t) s-plane Time response p =0 s p =0,p 2 =0 s 2 t p =

More information

7. Find the Fourier transform of f (t)=2 cos(2π t)[u (t) u(t 1)]. 8. (a) Show that a periodic signal with exponential Fourier series f (t)= δ (ω nω 0

7. Find the Fourier transform of f (t)=2 cos(2π t)[u (t) u(t 1)]. 8. (a) Show that a periodic signal with exponential Fourier series f (t)= δ (ω nω 0 Fourier Transform Problems 1. Find the Fourier transform of the following signals: a) f 1 (t )=e 3 t sin(10 t)u (t) b) f 1 (t )=e 4 t cos(10 t)u (t) 2. Find the Fourier transform of the following signals:

More information

6.003 Homework #10 Solutions

6.003 Homework #10 Solutions 6.3 Homework # Solutions Problems. DT Fourier Series Determine the Fourier Series coefficients for each of the following DT signals, which are periodic in N = 8. x [n] / n x [n] n x 3 [n] n x 4 [n] / n

More information

Chapter 6: The Laplace Transform. Chih-Wei Liu

Chapter 6: The Laplace Transform. Chih-Wei Liu Chapter 6: The Laplace Transform Chih-Wei Liu Outline Introduction The Laplace Transform The Unilateral Laplace Transform Properties of the Unilateral Laplace Transform Inversion of the Unilateral Laplace

More information

Source-Free RC Circuit

Source-Free RC Circuit First Order Circuits Source-Free RC Circuit Initial charge on capacitor q = Cv(0) so that voltage at time 0 is v(0). What is v(t)? Prof Carruthers (ECE @ BU) EK307 Notes Summer 2018 150 / 264 First Order

More information

School of Information Technology and Electrical Engineering EXAMINATION. ELEC3004 Signals, Systems & Control

School of Information Technology and Electrical Engineering EXAMINATION. ELEC3004 Signals, Systems & Control This exam paper must not be removed from the venue Venue Seat Number Student Number Family Name First Name School of Information Technology and Electrical Engineering EXAMINATION This paper is for St Lucia

More information

Problem Sheet 1 Examples of Random Processes

Problem Sheet 1 Examples of Random Processes RANDOM'PROCESSES'AND'TIME'SERIES'ANALYSIS.'PART'II:'RANDOM'PROCESSES' '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''Problem'Sheets' Problem Sheet 1 Examples of Random Processes 1. Give

More information

Review of Fourier Transform

Review of Fourier Transform Review of Fourier Transform Fourier series works for periodic signals only. What s about aperiodic signals? This is very large & important class of signals Aperiodic signal can be considered as periodic

More information

Raktim Bhattacharya. . AERO 632: Design of Advance Flight Control System. Preliminaries

Raktim Bhattacharya. . AERO 632: Design of Advance Flight Control System. Preliminaries . AERO 632: of Advance Flight Control System. Preliminaries Raktim Bhattacharya Laboratory For Uncertainty Quantification Aerospace Engineering, Texas A&M University. Preliminaries Signals & Systems Laplace

More information

Problem Weight Score Total 100

Problem Weight Score Total 100 EE 350 EXAM IV 15 December 2010 Last Name (Print): First Name (Print): ID number (Last 4 digits): Section: DO NOT TURN THIS PAGE UNTIL YOU ARE TOLD TO DO SO Problem Weight Score 1 25 2 25 3 25 4 25 Total

More information

The Laplace Transform

The Laplace Transform The Laplace Transform Generalizing the Fourier Transform The CTFT expresses a time-domain signal as a linear combination of complex sinusoids of the form e jωt. In the generalization of the CTFT to the

More information

GATE EE Topic wise Questions SIGNALS & SYSTEMS

GATE EE Topic wise Questions SIGNALS & SYSTEMS www.gatehelp.com GATE EE Topic wise Questions YEAR 010 ONE MARK Question. 1 For the system /( s + 1), the approximate time taken for a step response to reach 98% of the final value is (A) 1 s (B) s (C)

More information

ECEN 420 LINEAR CONTROL SYSTEMS. Lecture 2 Laplace Transform I 1/52

ECEN 420 LINEAR CONTROL SYSTEMS. Lecture 2 Laplace Transform I 1/52 1/52 ECEN 420 LINEAR CONTROL SYSTEMS Lecture 2 Laplace Transform I Linear Time Invariant Systems A general LTI system may be described by the linear constant coefficient differential equation: a n d n

More information

06/12/ rws/jMc- modif SuFY10 (MPF) - Textbook Section IX 1

06/12/ rws/jMc- modif SuFY10 (MPF) - Textbook Section IX 1 IV. Continuous-Time Signals & LTI Systems [p. 3] Analog signal definition [p. 4] Periodic signal [p. 5] One-sided signal [p. 6] Finite length signal [p. 7] Impulse function [p. 9] Sampling property [p.11]

More information

Chap 4. Sampling of Continuous-Time Signals

Chap 4. Sampling of Continuous-Time Signals Digital Signal Processing Chap 4. Sampling of Continuous-Time Signals Chang-Su Kim Digital Processing of Continuous-Time Signals Digital processing of a CT signal involves three basic steps 1. Conversion

More information

Group Delay and Phase Delay (1A) Young Won Lim 7/19/12

Group Delay and Phase Delay (1A) Young Won Lim 7/19/12 Group Delay and Phase Delay (A) 7/9/2 Copyright (c) 2 Young W. Lim. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version.2

More information

9.5 The Transfer Function

9.5 The Transfer Function Lecture Notes on Control Systems/D. Ghose/2012 0 9.5 The Transfer Function Consider the n-th order linear, time-invariant dynamical system. dy a 0 y + a 1 dt + a d 2 y 2 dt + + a d n y 2 n dt b du 0u +

More information

Review of Linear Time-Invariant Network Analysis

Review of Linear Time-Invariant Network Analysis D1 APPENDIX D Review of Linear Time-Invariant Network Analysis Consider a network with input x(t) and output y(t) as shown in Figure D-1. If an input x 1 (t) produces an output y 1 (t), and an input x

More information

The Laplace Transform

The Laplace Transform The Laplace Transform Syllabus ECE 316, Spring 2015 Final Grades Homework (6 problems per week): 25% Exams (midterm and final): 50% (25:25) Random Quiz: 25% Textbook M. Roberts, Signals and Systems, 2nd

More information

Signals and Systems Lecture Notes

Signals and Systems Lecture Notes Dr. Mahmoud M. Al-Husari Signals and Systems Lecture Notes This set of lecture notes are never to be considered as a substitute to the textbook recommended by the lecturer. ii Contents Preface v 1 Introduction

More information

MEDE2500 Tutorial Nov-7

MEDE2500 Tutorial Nov-7 (updated 2016-Nov-4,7:40pm) MEDE2500 (2016-2017) Tutorial 3 MEDE2500 Tutorial 3 2016-Nov-7 Content 1. The Dirac Delta Function, singularity functions, even and odd functions 2. The sampling process and

More information

6.003: Signals and Systems. CT Fourier Transform

6.003: Signals and Systems. CT Fourier Transform 6.003: Signals and Systems CT Fourier Transform April 8, 200 CT Fourier Transform Representing signals by their frequency content. X(jω)= x(t)e jωt dt ( analysis equation) x(t)= X(jω)e jωt dω ( synthesis

More information

Solutions to Problems in Chapter 4

Solutions to Problems in Chapter 4 Solutions to Problems in Chapter 4 Problems with Solutions Problem 4. Fourier Series of the Output Voltage of an Ideal Full-Wave Diode Bridge Rectifier he nonlinear circuit in Figure 4. is a full-wave

More information

Fourier Representations of Signals & LTI Systems

Fourier Representations of Signals & LTI Systems 3. Introduction. A signal can be represented as a weighted superposition of complex sinusoids. x(t) or x[n] 2. LTI system: LTI System Output = A weighted superposition of the system response to each complex

More information

GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL OF ELECTRICAL AND COMPUTER ENGINEERING

GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL OF ELECTRICAL AND COMPUTER ENGINEERING GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL OF ELECTRICAL AND COMPUTER ENGINEERING ECE 06 Summer 08 Final Exam July 7, 08 NAME: Important Notes: Do not unstaple the test. Closed book and notes, except for three

More information

SIGNAL PROCESSING. B14 Option 4 lectures. Stephen Roberts

SIGNAL PROCESSING. B14 Option 4 lectures. Stephen Roberts SIGNAL PROCESSING B14 Option 4 lectures Stephen Roberts Recommended texts Lynn. An introduction to the analysis and processing of signals. Macmillan. Oppenhein & Shafer. Digital signal processing. Prentice

More information

School of Information Technology and Electrical Engineering EXAMINATION. ELEC3004 Signals, Systems and Control

School of Information Technology and Electrical Engineering EXAMINATION. ELEC3004 Signals, Systems and Control This exam paper must not be removed from the venue Venue Seat Number Student Number Family Name First Name School of Information Technology and Electrical Engineering EXAMINATION Semester One Final Examinations,

More information

Digital Signal Processing. Midterm 1 Solution

Digital Signal Processing. Midterm 1 Solution EE 123 University of California, Berkeley Anant Sahai February 15, 27 Digital Signal Processing Instructions Midterm 1 Solution Total time allowed for the exam is 8 minutes Some useful formulas: Discrete

More information