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

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

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

Solution 10 July 2015 ECE301 Signals and Systems: Midterm. Cover Sheet

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

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

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

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

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

EE301 Signals and Systems In-Class Exam Exam 3 Thursday, Apr. 20, Cover Sheet

信號與系統 Signals and Systems

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

ECE538 Final Exam Fall 2017 Digital Signal Processing I 14 December Cover Sheet

Chapter 3 Convolution Representation

信號與系統 Signals and Systems

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

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

Digital Signal Processing I Final Exam Fall 2008 ECE Dec Cover Sheet

EE 210. Signals and Systems Solutions of homework 2

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

EE301 Signals and Systems In-Class Exam Exam 3 Thursday, Apr. 19, Cover Sheet

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

EE301 Signals and Systems Spring 2016 Exam 2 Thursday, Mar. 31, Cover Sheet

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

EE538 Digital Signal Processing I Session 13 Exam 1 Live: Wed., Sept. 18, Cover Sheet

Problem Value Score No/Wrong Rec 3

GATE EE Topic wise Questions SIGNALS & SYSTEMS

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

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

Problem Weight Score Total 100

Ch 2: Linear Time-Invariant System

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

QUESTION BANK SIGNALS AND SYSTEMS (4 th SEM ECE)

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

ECE-314 Fall 2012 Review Questions for Midterm Examination II

Therefore the new Fourier coefficients are. Module 2 : Signals in Frequency Domain Problem Set 2. Problem 1

Solutions. Number of Problems: 10

Question Paper Code : AEC11T02

ELEG 305: Digital Signal Processing

Digital Filters Ying Sun

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

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.


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

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

ELEN 4810 Midterm Exam

University Question Paper Solution

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

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

Introduction to Signals and Systems Lecture #4 - Input-output Representation of LTI Systems Guillaume Drion Academic year

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

Digital Signal Processing. Midterm 1 Solution

Module 1: Signals & System

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

Problem Value

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

DEPARTMENT OF ELECTRICAL AND ELECTRONIC ENGINEERING EXAMINATIONS 2010

2. Time-Domain Analysis of Continuous- Time Signals and Systems

Chapter 1 Fundamental Concepts

EE 224 Signals and Systems I Review 1/10

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

Chap 2. Discrete-Time Signals and Systems

ECE 301 Fall 2011 Division 1 Homework 5 Solutions

Using MATLAB with the Convolution Method

Analog vs. discrete signals

Problem Value

Chapter 1 Fundamental Concepts

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

Chapter 2 Time-Domain Representations of LTI Systems

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

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

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

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

Q1 Q2 Q3 Q4 Q5 Total

Digital Signal Processing Lecture 3 - Discrete-Time Systems

EE361: Signals and System II

2. CONVOLUTION. Convolution sum. Response of d.t. LTI systems at a certain input signal

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

Digital Signal Processing. Lecture Notes and Exam Questions DRAFT

Signals and Systems Chapter 2

Solutions. Number of Problems: 10

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

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

2 Classification of Continuous-Time Systems

EEL3135: Homework #4

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

Problem Value

Problem Value Score No/Wrong Rec

Differential and Difference LTI systems

Discussion Section #2, 31 Jan 2014

Classification of Discrete-Time Systems. System Properties. Terminology: Implication. Terminology: Equivalence

Review of Frequency Domain Fourier Series: Continuous periodic frequency components

UNIT-II Z-TRANSFORM. This expression is also called a one sided z-transform. This non causal sequence produces positive powers of z in X (z).

Module 4 : Laplace and Z Transform Problem Set 4

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

LTI Systems (Continuous & Discrete) - Basics

Chapter 5 Frequency Domain Analysis of Systems

Introduction to DFT. Deployment of Telecommunication Infrastructures. Azadeh Faridi DTIC UPF, Spring 2009

III. Time Domain Analysis of systems

Properties of LTI Systems

Professor Fearing EECS120/Problem Set 2 v 1.01 Fall 2016 Due at 4 pm, Fri. Sep. 9 in HW box under stairs (1st floor Cory) Reading: O&W Ch 1, Ch2.

Transcription:

NAME: February 4 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 two problems. All work should be done on the sheets provided. You must show work or explain answer for each problem to receive full credit. Plot your answers on the graphs provided. WRITE YOUR NAME ON EVERY SHEET. Prob. No. Topic(s) Points. Continuous Time Signals and System Properties 5. Discrete Time Signals and System Properties 5 y (t) = {u(t) u(t T )} t{u(t) u(t T )} = t {u(t) u(t T )} () ( ) + + T t T ( t +T t+ T T {u(t T ) u(t T )} ) {u(t T ) u(t (T +T ))} {u(t) u(t T )} [ (t T ){u(t) u(t T )}] = + + ( ( t +T t ) {u(t) u(t T )} () ) T t+ T T +T {u(t T ) u(t T )} ( t (T +T )t+ (T +T ) ) {u(t T ) u(t (T +T ))} y (t) = {u(t) u(t T )} [ (t T ){u(t) u(t T )}] = y ( (t (T +T )) ()

Prob.. [5 pts] Consider the LTI system characterized by the I/O relationship: y(t) = t t x(τ)dτ (4) (a) Determine and plot the impulse response of this system, denoted h(t), in the spaced provided on the sheets attached. (b) Determineandplottheoutputy (t)inthespaceprovidedwhentheinputtothesystem is the rectangular pulse below: x (t) = {u(t ) u(t 6)} (c) Determineandplottheoutput y (t) inthespace provided when theinput totheoverall system is the ramp-down triangular pulse. x (t) = (t ){u(t) u(t )} (d) Determineandplottheoutputy (t)inthespaceprovidedwhentheinputtothesystem is the ramp-up triangular pulse: x (t) = t{u(t) u(t )} (e) GOAL: determine the output y(t) when the input to the system is x(t) plotted below. (i) Express x(t) in terms of possibly amplitude-scaled and time-shifted versions of x i (t), i =,,, defined in parts (b), (c), and (d). You can use any of the x i (t) functions more than once in your expression or not at all, and your expression can sum more than just three terms. For example, (this is NOT correct): x(t) = x (t π) π x (t )+ x (t 7) x (t 9)+x (t π) x (t ) (ii) Similarly express y(t) in terms of y i (t), i =,,, answers to parts (b), (c), (d). (iii) Plot y(t) in the space provided on the sheets attached. Input x(t).5.5.5.5.5.5 4 5 6 7 8 9

Problem. [5 points] For parts (a) and (b), show your work and do your plots in the space provided on the sheets attached. Put the answers for the remaining parts on this page. (a) For parts (a) and (b), consider causal LTI System characterized by the following difference equation below. Determine and plot (stem plot) the impulse response h [n]. System : y[n] = x[n]+x[n ]+x[n ]+x[n ] (b) Compute the convolution y[n] = x[n] h[n] with x[n] below, do a stem plot of y[n]. x[n] = {δ[n]+δ[n ]+δ[n ] δ[n ]} (c) For the REST of this problem, consider System characterized by the equation below: System : y[n] = e x[n] +sin(x[n])+log e (x[n]) [(b)-(i)] Is System linear? State Yes or No, and explain your answer. Answer(i): [(b)-(ii)] Is System Time Invariant? State Yes or No, and explain your answer. Answer(ii) [(b)-(iii)] Let h[n] denote the output of System when the input is δ[n]. For any other input, x[n], is the output y[n] equal to the convolutionofx[n] withthe impulse response h[n]? StateYes orno, andbriefly explain your answer. Answer(iii) [(b)-(iv)] Does System have memory, or is it Memoryless? State your answer below and briefly explain. Answer(iv) [(b)-(v)] Is System stable? State Yes or No, and briefly explain your answer. Answer(v)

NAME: Feb. Plot your answer for h(t) for Problem (a) here. 4.5.5.5.5.5.5.5.5 4 4.5 5 5.5 6 4 5 6 7 8 9 Plot your answer for h(t) for Problem (a) here. 4.5.5.5.5.5.5.5.5 4 4.5 5 5.5 6 4 5 6 7 8 9 Plot your answer for y (t) for Problem (b) here. 4

(c): For each value of t, write the value of y (t) in the table below. t t = t = t = t = y (t) Mark the correct box with an X for each range for y (t). Range for t Linear Linear Quadratic Quadratic pos. slope neg. slope Concave Up Concave Down < t < < t < < t < Plot y (t) below..5.5.5.5.5.5 4 5 6 7 8 9 5

(d): For each value of t, write the value of y (t) in the table below. t t = t = t = t = y (t) Mark the correct box with an X for each range for y (t). Range for t Linear Linear Quadratic Quadratic pos. slope neg. slope Concave Up Concave Down < t < < t < < t < Plot y (t) below..5.5.5.5.5.5 4 5 6 7 8 9 6

(e). Express x(t) in terms of x i (t), i =,,. (e). Express y(t) in terms of y i (t), i =,,. You can use the plots below if they re helpful for answering (e)..5.5.5.5.5.5 4 5 6 7 8 9.5.5.5.5.5.5 4 5 6 7 8 9.5.5.5.5.5.5 4 5 6 7 8 9.5.5.5.5.5.5 4 5 6 7 8 9 7

Part (e). For each range of t, put an X in the correct box in the table below. Range for t Linear Linear Quadratic Quadratic pos. slope neg. slope Concave Up Concave Down < t < < t < < t < < t < 4 4 < t < 5 5 < t < 6 6 < t < 7 7 < t < 8 For each value of t, write the value of y(t) in the table below. t t = t = t = t = t = 4 t = 5 t = 6 t = 7 t = 8 y(t) Plot y(t) for Prob, Part (e) below..5.5.5.5.5.5 4 5 6 7 8 9 8

Plot your answer h[n] to Problem, part (a) on this page. 4.5.5.5.5.5.5.5.5 4 4.5 5 5.5 6 4 5 6 7 8 9 9

Show your work and plot your answer y[n] to Prob (b) on this page. 4.5.5.5.5.5.5.5.5 4 4.5 5 5.5 6 4 5 6 7 8 9