Problem Value Score No/Wrong Rec 3

Similar documents
Problem Value Score No/Wrong Rec

Problem Value Score No/Wrong Rec 3

Problem Value

FINAL EXAM. Problem Value Score No/Wrong Rec 3

FINAL EXAM. Problem Value Score

Problem Value

Problem Value

Problem Value Score No/Wrong Rec 3

Problem Value Score No/Wrong Rec 3

GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL OF ELECTRICAL AND COMPUTER ENGINEERING

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

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

QUIZ #2 SOLUTION Version A

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

GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL OF ELECTRICAL AND COMPUTER ENGINEERING

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

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

GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL OF ELECTRICAL AND COMPUTER ENGINEERING

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).

New Mexico State University Klipsch School of Electrical Engineering. EE312 - Signals and Systems I Spring 2018 Exam #1

New Mexico State University Klipsch School of Electrical Engineering. EE312 - Signals and Systems I Fall 2017 Exam #1

Chapter 3 Convolution Representation

NAME: 23 February 2017 EE301 Signals and Systems Exam 1 Cover Sheet

EEL3135: Homework #4

GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL OF ELECTRICAL AND COMPUTER ENGINEERING

x(t) = t[u(t 1) u(t 2)] + 1[u(t 2) u(t 3)]

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

ECE 301 Division 1 Exam 1 Solutions, 10/6/2011, 8-9:45pm in ME 1061.

Question Paper Code : AEC11T02

GATE EE Topic wise Questions SIGNALS & SYSTEMS

Fourier Methods in Digital Signal Processing Final Exam ME 579, Spring 2015 NAME

QUESTION BANK SIGNALS AND SYSTEMS (4 th SEM ECE)

Problem Weight Score Total 100

NAME: 20 February 2014 EE301 Signals and Systems Exam 1 Cover Sheet

ECE-314 Fall 2012 Review Questions for Midterm Examination II

2. Typical Discrete-Time Systems All-Pass Systems (5.5) 2.2. Minimum-Phase Systems (5.6) 2.3. Generalized Linear-Phase Systems (5.

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

LTI Systems (Continuous & Discrete) - Basics

EE538 Final Exam Fall :20 pm -5:20 pm PHYS 223 Dec. 17, Cover Sheet

Digital Signal Processing. Midterm 1 Solution

Q1 Q2 Q3 Q4 Q5 Total

Signals and Systems. Problem Set: The z-transform and DT Fourier Transform

The objective of this LabVIEW Mini Project was to understand the following concepts:

DEPARTMENT OF ELECTRICAL AND ELECTRONIC ENGINEERING EXAMINATIONS 2010

Discrete-time signals and systems

Solution 7 August 2015 ECE301 Signals and Systems: Final Exam. Cover Sheet

Quiz. Good luck! Signals & Systems ( ) Number of Problems: 19. Number of Points: 19. Permitted aids:

z-transforms Definition of the z-transform Chapter

This homework will not be collected or graded. It is intended to help you practice for the final exam. Solutions will be posted.

( ) John A. Quinn Lecture. ESE 531: Digital Signal Processing. Lecture Outline. Frequency Response of LTI System. Example: Zero on Real Axis

New Mexico State University Klipsch School of Electrical Engineering EE312 - Signals and Systems I Fall 2015 Final Exam

Each problem is worth 25 points, and you may solve the problems in any order.

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Electrical Engineering and Computer Science Discrete-Time Signal Processing Fall 2005

ECE301 Fall, 2006 Exam 1 Soluation October 7, Name: Score: / Consider the system described by the differential equation

Lecture 19 IIR Filters

Final Exam 14 May LAST Name FIRST Name Lab Time

Z Transform (Part - II)

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

LECTURE NOTES DIGITAL SIGNAL PROCESSING III B.TECH II SEMESTER (JNTUK R 13)

Math 41 First Exam October 12, 2010

Module 4 : Laplace and Z Transform Problem Set 4

/ (2π) X(e jω ) dω. 4. An 8 point sequence is given by x(n) = {2,2,2,2,1,1,1,1}. Compute 8 point DFT of x(n) by

ECE 350 Signals and Systems Spring 2011 Final Exam - Solutions. Three 8 ½ x 11 sheets of notes, and a calculator are allowed during the exam.

EE 210. Signals and Systems Solutions of homework 2

Laplace Transforms and use in Automatic Control

Digital Signal Processing Lecture 4

EE 3054: Signals, Systems, and Transforms Spring A causal discrete-time LTI system is described by the equation. y(n) = 1 4.

EE538 Final Exam Fall 2007 Mon, Dec 10, 8-10 am RHPH 127 Dec. 10, Cover Sheet

SIDDHARTH GROUP OF INSTITUTIONS:: PUTTUR Siddharth Nagar, Narayanavanam Road QUESTION BANK (DESCRIPTIVE)

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

Interconnection of LTI Systems

Problem Weight Total 100

Massachusetts Institute of Technology

George Mason University ECE 201: Introduction to Signal Analysis Spring 2017

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

Rui Wang, Assistant professor Dept. of Information and Communication Tongji University.

NAME: 11 December 2013 Digital Signal Processing I Final Exam Fall Cover Sheet

EE-202 Exam II March 3, 2008

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

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

EC Signals and Systems

ECGR4124 Digital Signal Processing Exam 2 Spring 2017


Stability Condition in Terms of the Pole Locations

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

Massachusetts Institute of Technology

ECGR4124 Digital Signal Processing Final Spring 2009

III. Time Domain Analysis of systems

Ch 2: Linear Time-Invariant System

Lecture 3 Matlab Simulink Minimum Phase, Maximum Phase and Linear Phase Systems

ECE503: Digital Signal Processing Lecture 5

Digital Filters Ying Sun

Your solutions for time-domain waveforms should all be expressed as real-valued functions.

Cosc 3451 Signals and Systems. What is a system? Systems Terminology and Properties of Systems

Communications and Signal Processing Spring 2017 MSE Exam

The Cooper Union Department of Electrical Engineering ECE111 Signal Processing & Systems Analysis Final May 4, 2012

NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY DEPARTMENT OF ELECTRONICS AND TELECOMMUNICATIONS

Use: Analysis of systems, simple convolution, shorthand for e jw, stability. Motivation easier to write. Or X(z) = Z {x(n)}

Transcription:

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 Section: Circle the date & time when your Recitation Section meets (not Lab): L05:Tues-9:30am (Richards) L07:Tues-Noon (Richards) L09:Tues-1:30pm (Chang) L0:Thur-9:30am (Casinovi) L08:Thur-Noon (Casinovi) L10:Thur-1:30pm (Coyle) L01:M-3pm (Barry) L11:Tues-3pm (Chang) L02:W-3pm (Clements) L12:Thur-3pm (Baxley) L03:M-4:30pm (Barry) L04:W-4:30pm (Clements) L14:Thur-4:30pm (Baxley) Write your name on the front page ONLY. DO NOT unstaple the test. Closed book, but a calculator is permitted. One page (8 1 00 2 11 00 ) of HAND-WRITTEN notes permitted. OK to write on both sides. JUSTIFY your reasoning CLEARLY to receive partial credit. You must write your answer in the space provided on the exam paper itself. Only these answers will be graded. Circle your answers, or write them in the boxes provided. If more space is needed for scratch work, use the backs of previous pages. Problem Value Score 1 25 2 25 3 25 4 25 No/Wrong Rec 3

PROBLEM Fall-11-Q.3.1: We ve seen several equivalent ways to describe an LTI system. Below are a list of time domain descriptions (e.g., impulse response, difference equation, MATLAB code or filter coefficients) of LTI systems. For each one, choose from the list on the right the corresponding system function or frequency response. Note that there are more entries on the right than you will need to fill in the blanks on the left. Time-Domain Description System Function/Frequency Response (a) y[n]= 3 Â k=1 p k 1 x[n k] 1 H(e jŵ )=2cos(ŵ) e j3ŵ ANS = 2 H(z)= z 2 (1 z 1 ) 1 0.8z 1 (b) y[n]=0.9y[n 1]+0.8y[n 2]+x[n] x[n 3] ANS = 3 H(e jŵ )= 1 e j3ŵ 1 0.9e jŵ 0.8e j2ŵ 4 H(e jŵ )=(1 + 2cos(ŵ))e j3ŵ (c) yy=filter([0,0,1,0,1],1,xx); ANS = 5 H(e jŵ )= 1 e j3ŵ 1 + 0.9e jŵ + 0.8e j2ŵ (d) h[n]=0.8 n 2 u[n 2] 0.8 n 3 u[n 3] ANS = H(z)=z 2 1 + 0.707z 1 (e) h[n]=u[n 2] u[n 5] ANS =

PROBLEM Fall-11-Q.3.2: The diagram in the figure below depicts a cascade connection of two linear time-invariant systems, i.e., the output of the first system is the input to the second system, and the overall output is the output of the second system. w[n] LTI x[n] LTI y[n] - System #1 - System #2 - H 1 (z),h 1 [n] H 2 (z),h 2 [n] System #1 is the IIR filter described by the system function H 1 (z)= z 2 1 0.8z 1, and System #2 is the FIR filter described by the system function H 2 (z) =z 3 question can be worked independently. z 4. Each part of this (a) Determine the poles and zeros of the first system H 1 (z) and list them below. If there are no finite poles or zeros, write NONE in the corresponding space. If a pole or zero occurs multiple times, be sure to list it multiple times in your answer. ZEROS at z = POLES at z = (b) Determine the impulse response of the second system h 2 [n]. h 2 [n]= (c) Determine the overall output y[n] when the input is a delayed unit step function w[n]=u[n 2]. y[n]=

PROBLEM Fall-11-Q.3.3: Consider the following system for discrete-time filtering of continuous-time signals: x(t) Ideal x[n] LTI y[n] Ideal y(t) - C-to-D - System - D-to-C - Converter H(e jŵ ),{b k } Converter T s = 1/ f s T s = 1/ f s Both parts of this question should be worked independently. (a) For this part, assume that the LTI system in the figure is defined by the frequency response H(e jŵ )=cos(ŵ)e j2ŵ, and the sampling rate is f s = 400. Determine the overall system output y(t) if the input is x(t)=10 + cos(2p50t)+cos(2p500t + 3p/4). y(t)= (b) This part deals with the design of FIR nulling filters similar to the filters you designed in Lab 8. Given the following three conditions, determine the values of the FIR filter coefficients b 0,b 1 and b 2. First, when the input to the FIR filter is x[n]=15cos(3pn/4 + p/3) the output is y[n]=0. Second, the filter coefficients should be scaled so that when the input is the DC signal x[n]=10 the output is y[n]=30. Finally, assume that b 2 = b 0. b 0 = b 1 = b 2 =

PROBLEM Fall-11-Q.3.4: The following two questions about continuous-time convolution should be worked independently. (a) If the input to an LTI system is x(t) =u(t + 2) u(t 3), determine the output signal y(t) =x(t) h(t) when h(t) =40d(t 3) 40d(t 5). Give your answer as a carefully labeled sketch showing numerical values on both the time and amplitude axes. y(t) - 0 t (b) If the signal r(t) is a rectangular pulse, then w(t)=r(t) r(t) is a triangle. Suppose that w(t) = r(t) r(t) =(4t)[u(t) u(t 4)] + (32 4t)[u(t 4) u(t 8)]. On the axes below, give carefully labeled sketches of both w(t) and r(t). w(t) - 0 t r(t) - 0 t

GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL of ELECTRICAL & COMPUTER ENGINEERING QUIZ #3 DATE: 21-Nov-11 COURSE: ECE-2025 NAME: ANSWER KEY GT username: VERSION #1 LAST, FIRST (ex: gpburdell3) 3 points 3 points 3 points Recitation Section: Circle the date & time when your Recitation Section meets (not Lab): L05:Tues-9:30am (Richards) L07:Tues-Noon (Richards) L09:Tues-1:30pm (Chang) L0:Thur-9:30am (Casinovi) L08:Thur-Noon (Casinovi) L10:Thur-1:30pm (Coyle) L01:M-3pm (Barry) L11:Tues-3pm (Chang) L02:W-3pm (Clements) L12:Thur-3pm (Baxley) L03:M-4:30pm (Barry) L04:W-4:30pm (Clements) L14:Thur-4:30pm (Baxley) Write your name on the front page ONLY. DO NOT unstaple the test. Closed book, but a calculator is permitted. One page (8 1 00 2 11 00 ) of HAND-WRITTEN notes permitted. OK to write on both sides. JUSTIFY your reasoning CLEARLY to receive partial credit. You must write your answer in the space provided on the exam paper itself. Only these answers will be graded. Circle your answers, or write them in the boxes provided. If more space is needed for scratch work, use the backs of previous pages. Problem Value Score 1 25 2 25 3 25 4 25 No/Wrong Rec 3

PROBLEM Fall-11-Q.3.1: We ve seen several equivalent ways to describe an LTI system. Below are a list of time domain descriptions (e.g., impulse response, difference equation, MATLAB code or filter coefficients) of LTI systems. For each one, choose from the list on the right the corresponding system function or frequency response. Note that there are more entries on the right than you will need to fill in the blanks on the left. Time-Domain Description System Function/Frequency Response (a) y[n]= 3 Â k=1 ANS = p k 1 x[n k] 1 H(e jŵ )=2cos(ŵ) e j3ŵ 2 H(z)= z 2 (1 z 1 ) 1 0.8z 1 (b) y[n]=0.9y[n 1]+0.8y[n 2]+x[n] x[n 3] ANS = 3 3 H(e jŵ )= 1 e j3ŵ 1 0.9e jŵ 0.8e j2ŵ (c) yy=filter([0,0,1,0,1],1,xx); ANS = 1 4 H(e jŵ )=(1 + 2cos(ŵ))e j3ŵ 5 H(e jŵ )= 1 e j3ŵ 1 + 0.9e jŵ + 0.8e j2ŵ (d) h[n]=0.8 n 2 u[n 2] 0.8 n 3 u[n 3] ANS = 2 H(z)=z 2 1 + 0.707z 1 (e) h[n]=u[n 2] u[n 5] ANS = 4

PROBLEM Fall-11-Q.3.2: The diagram in the figure below depicts a cascade connection of two linear time-invariant systems, i.e., the output of the first system is the input to the second system, and the overall output is the output of the second system. w[n] LTI x[n] LTI y[n] - System #1 - System #2 - H 1 (z),h 1 [n] H 2 (z),h 2 [n] System #1 is the IIR filter described by the system function H 1 (z)= z 2 1 0.8z 1, and System #2 is the FIR filter described by the system function H 2 (z) =z 3 question can be worked independently. z 4. Each part of this (a) Determine the poles and zeros of the first system H 1 (z) and list them below. If there are no finite poles or zeros, write NONE in the corresponding space. If a pole or zero occurs multiple times, be sure to list it multiple times in your answer. ZEROS at z = NONE POLES at z = 0,0.8 (b) Determine the impulse response of the second system h 2 [n]. h 2 [n]=d[n 3] d[n 4] (c) Determine the overall output y[n] when the input is a delayed unit step function w[n]=u[n 2]. y[n]=0.8 n 7 u[n 7]

PROBLEM Fall-11-Q.3.3: Consider the following system for discrete-time filtering of continuous-time signals: x(t) Ideal x[n] LTI y[n] Ideal y(t) - C-to-D - System - D-to-C - Converter H(e jŵ ),{b k } Converter T s = 1/ f s T s = 1/ f s Both parts of this question should be worked independently. (a) For this part, assume that the LTI system in the figure is defined by the frequency response H(e jŵ )=cos(ŵ)e j2ŵ, and the sampling rate is f s = 400. Determine the overall system output y(t) if the input is x(t)=10 + cos(2p50t)+cos(2p500t + 3p/4). y(t)=10 + p 2 2 cos(2p50t p/2) (b) This part deals with the design of FIR nulling filters similar to the filters you designed in Lab 8. Given the following three conditions, determine the values of the FIR filter coefficients b 0,b 1 and b 2. First, when the input to the FIR filter is x[n]=15cos(3pn/4 + p/3) the output is y[n]=0. Second, the filter coefficients should be scaled so that when the input is the DC signal x[n]=10 the output is y[n]=30. Finally, assume that b 2 = b 0. b 0 = 0.879 b 1 = 1.243 b 2 = 0.879

PROBLEM Fall-11-Q.3.4: The following two questions about continuous-time convolution should be worked independently. (a) If the input to an LTI system is x(t) =u(t + 2) u(t 3), determine the output signal y(t) =x(t) h(t) when h(t) =40d(t 3) 40d(t 5). Give your answer as a carefully labeled sketch showing numerical values on both the time and amplitude axes. 40 y(t) - 2 0 2 4 8 10 12 14 t 40 (b) If the signal r(t) is a rectangular pulse, then w(t)=r(t) r(t) is a triangle. Suppose that w(t) = r(t) r(t) =(4t)[u(t) u(t 4)] + (32 4t)[u(t 4) u(t 8)]. On the axes below, give carefully labeled sketches of both w(t) and r(t). w(t) 1!!!!!!!!aaa aaaaaa! - 2 0 2 4 8 10 12 14 t 2 r(t) - 2 0 2 4 8 10 12 14 t