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

Size: px
Start display at page:

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

Transcription

1 ECE58 Final Exam Fall 7 Digital Signal Processing I December 7 Cover Sheet Test Duration: hours. Open Book but Closed Notes. Three double-sided 8.5 x crib sheets allowed This test contains five problems. You must show all work for each problem to receive full credit. No. Topic(s) of Problem Points. OFDM. Noble s Identities. Perfect Reconstruction Filter Bank. DFT s and Time-Domain Aliasing 5. Z-Transform, Difference Eqns., Bilinear Transform

2 Problem. An OFDM signal is synthesized as a sum of four sinewaves of length as x[n] = b k e jπk n {u[n] u[n ]} k= Each of the four values b k is one of the four QPSK values listed in the symbol alphabet below. b k {+j, j, +j, j} k =,,, We know in advance that the signal we transmit will be convolved with a filter of length L =. Thus, we add a cyclic prefix of length which effective creates a sum of sinewaves of length 7 as prescribed below: x[n] = b k e jπ k n {u[n+] u[n ]} k= The sequence of length 7 above is convolved with the filter below of length h[n] = {8,,} = 8δ[n]+δ[n ]+δ[n ] This ultimately yields the following sequence of length 7+- = 9 y[n] = x[n] h[n] = {+j, +6j,+7j,5 j,7+j, +5j,+7j,+j,+j} Your task is to determine the numerical values of each of the four symbols: b, b, b, and b. Explain and show all the steps in determining your answers. Please lay your work out nicely with logical ordering. Your work will be more important than your final answers.

3 This page left intentionally blank for student work.

4 This page left intentionally blank for student work.

5 This page left intentionally blank for student work. 5

6 Problem. [ points] Determine the impulse response h[n] in Figure.(b) so that the I/O relationship of the system in Figure.(b) is exactly the same as the I/O relationship of the system in Figure.(a). Plot the magnitude AND the phase (two separate plots) of the DTFT of h[n] over π < ω < π. Hint: Analyze the system of Figure.(a) in the frequency domain using one of Noble s Identities. = ( j) n sin( { π n) BP π n { Figure.(a). BP ( j) n sin( { πn) π n = =?? { Figure.(b). 6

7 This page left intentionally blank for student work for Problem. 7

8 This page left intentionally blank for student work for Problem. 8

9 g [n] g [n] x[n] Σ y [n] g [n] g [n] Figure (a). Analysis Filter Bank. Figure.. For Problem on Next Page. Figure (b). Synthesis Filter Bank. x[n] + s [n] y [n] h -[n] y [n] x[n-] x[n-] + + s [n] s [n] Matrix x B Matrix x A y [n] y [n] - - y [n-] y [n-] y[n] interleaver (clockwise) x[n-] + s [n] y [n] - y [n-] Figure.. For Problem on Next Page. 9

10 Problem. Consider the M = channel Filter Bank in Figure. on the previous page. You are to determine an efficient implementation of the entire structure having the form in Figure.. Then determine whether it achieves Perfect Reconstruction with the following causal analysis filters, each of which is of length and starts at n =. Achieving Perfect Reconstruction means the output is the same as the input except for possibly an amplitude-scaling and an integer-delay. h [n] = {,,, } h [n] = {,,, } h [n] = {,,,} h [n] = {,,,} The first element in each vector corresponds to n =. The corresponding synthesis filters are defined below. The four analysis filters and the four synthesis filters are all real-valued, and the synthesis filters are the time-reverses of the corresponding analysis filters according to g k [n] = h k [ n], k =,,, (a) Draw the efficient implementation of the top branch of the analysis side where the h [n] is followed by decimation by a factor of. The inputs for the efficient implementation should be x[n], x[n ], x[n ], x[n ]. (b) Draw the efficient implementation of the top branch of the synthesis side where zero-inserts is followed filtering by g [n] = h [ n] followed by decimation by a factor of. The outputs for the efficient implementation should be y[n], y[n ], y[n ], y[n ] and the commutator for the interleaver should operate clockwise. (c) Since all of the analysis and synthesis filters are each of length, the polyphase components are each of length. Thus, we can set h + [n] = δ[n] h + [n] = δ[n] h + [n] = δ[n] h + [n] = δ[n] h [n] = δ[n] h [n] = δ[n] h [n] = δ[n] h [n] = δ[n] With this in mind, the matrices B and A operate as follows. z [n] z [n] z [n] z [n] = b b b b b b b b b b b b b b b b x[n] x[n ] x[n ] x[n ] y[n] y[n ] y[n ] y[n ] = Determine the matrices A and B in this efficient implementation. a a a a a a a a a a a a a a a a (d) Determine if the Filter Bank achieves Perfect Reconstruction. Explain your answer. () z [n] z [n] z [n] z [n] NOTE: The matrices A and B are real-valued matrices that have nothing to do with a -pt DFT matrix.

11 This page left intentionally blank for student work for Problem.

12 This page left intentionally blank for student work for Problem.

13 This page left intentionally blank for student work for Problem.

14 Problem. Let x[n] be of length L =, i.e., x[n] = for n < and n and h[n] be of length M = 5, i.e., h[n] = for n < and n 5. Let X 6 (k) and H 6 (k) denote 6-point DFT s of x[n] and h[n], respectively. The 6-point inverse DFT of the product Y 6 (k) = X 6 (k)h 6 (k), denoted y 6 [n], produces the following values: n 5 y 6 [n] Let X 5 (k) and H 5 (k) denote the 5-point DFT s of the aforementioned sequences x[n] and h[n]. The 5-point inverse DFT of the product Y 5 (k) = X 5 (k)h 5 (k), denoted y 5 [n], produces the following values: n y 5 [n] Given y 6 [n] and y 5 [n], find the linear convolution of x[n] and h[n], i. e., list all of the numerical values of y[n] = x[n] h[n].

15 This page left intentionally blank for student work for Problem. 5

16 This page left intentionally blank for student work for Problem. 6

17 Problem 5. A second-order digital filter is to be designed from an analog filter having two poles in the s-plane at +j and j and two zeros at j and j, via the bilinear transformation method characterized by the mapping s = z z + (a) Is the resulting digital filter (BIBO) stable? Briefly explain why or why not. (b) Denote the frequency response of the resulting digital filter as H(ω) (the DTFT of its impulse response). You are given that in the range < ω < π, there is only one value of ω for which H(ω) =. Determine that value of ω. (c) Draw a pole-zero diagram for the resulting digital filter. Give the exact locations of the poles and zeros of the digital filter in the z-plane. (d) Plot the magnitude of the DTFT of the resulting digital filter, H(ω), over π < ω < π. You are given that H() =.8. Be sure to indicate any frequency for which H(ω) =. Also, specifically note the numerical value of H(ω) for ω = π and ω = π. (e) Determine the difference equation for the resulting digital filter. 7

18 This page left intentionally blank for student work for Problem 5. 8

19 This page left intentionally blank for student work for Problem 5. 9

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

Digital Signal Processing I Final Exam Fall 2008 ECE Dec Cover Sheet Digital Signal Processing I Final Exam Fall 8 ECE538 7 Dec.. 8 Cover Sheet Test Duration: minutes. Open Book but Closed Notes. Calculators NOT allowed. This test contains FIVE problems. All work should

More information

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

NAME: 11 December 2013 Digital Signal Processing I Final Exam Fall Cover Sheet NAME: December Digital Signal Processing I Final Exam Fall Cover Sheet Test Duration: minutes. Open Book but Closed Notes. Three 8.5 x crib sheets allowed Calculators NOT allowed. This test contains four

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

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

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

EE538 Digital Signal Processing I Session 13 Exam 1 Live: Wed., Sept. 18, Cover Sheet EE538 Digital Signal Processing I Session 3 Exam Live: Wed., Sept. 8, 00 Cover Sheet Test Duration: 50 minutes. Coverage: Sessions -0. Open Book but Closed Notes. Calculators not allowed. This test contains

More information

EEL3135: Homework #4

EEL3135: Homework #4 EEL335: Homework #4 Problem : For each of the systems below, determine whether or not the system is () linear, () time-invariant, and (3) causal: (a) (b) (c) xn [ ] cos( 04πn) (d) xn [ ] xn [ ] xn [ 5]

More information

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

EE538 Final Exam Fall :20 pm -5:20 pm PHYS 223 Dec. 17, Cover Sheet EE538 Final Exam Fall 005 3:0 pm -5:0 pm PHYS 3 Dec. 17, 005 Cover Sheet Test Duration: 10 minutes. Open Book but Closed Notes. Calculators ARE allowed!! This test contains five problems. Each of the five

More information

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

EE301 Signals and Systems In-Class Exam Exam 3 Thursday, Apr. 20, Cover Sheet NAME: NAME EE301 Signals and Systems In-Class Exam Exam 3 Thursday, Apr. 20, 2017 Cover Sheet Test Duration: 75 minutes. Coverage: Chaps. 5,7 Open Book but Closed Notes. One 8.5 in. x 11 in. crib sheet

More information

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

Solution 10 July 2015 ECE301 Signals and Systems: Midterm. Cover Sheet Solution 10 July 2015 ECE301 Signals and Systems: Midterm Cover Sheet Test Duration: 60 minutes Coverage: Chap. 1,2,3,4 One 8.5" x 11" crib sheet is allowed. Calculators, textbooks, notes are not allowed.

More information

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

Solution 7 August 2015 ECE301 Signals and Systems: Final Exam. Cover Sheet Solution 7 August 2015 ECE301 Signals and Systems: Final Exam Cover Sheet Test Duration: 120 minutes Coverage: Chap. 1, 2, 3, 4, 5, 7 One 8.5" x 11" crib sheet is allowed. Calculators, textbooks, notes

More information

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

EE538 Final Exam Fall 2007 Mon, Dec 10, 8-10 am RHPH 127 Dec. 10, Cover Sheet EE538 Final Exam Fall 2007 Mon, Dec 10, 8-10 am RHPH 127 Dec. 10, 2007 Cover Sheet Test Duration: 120 minutes. Open Book but Closed Notes. Calculators allowed!! This test contains five problems. Each of

More information

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

EE301 Signals and Systems In-Class Exam Exam 3 Thursday, Apr. 19, Cover Sheet EE301 Signals and Systems In-Class Exam Exam 3 Thursday, Apr. 19, 2012 Cover Sheet Test Duration: 75 minutes. Coverage: Chaps. 5,7 Open Book but Closed Notes. One 8.5 in. x 11 in. crib sheet Calculators

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

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

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

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

More information

ECGR4124 Digital Signal Processing Final Spring 2009

ECGR4124 Digital Signal Processing Final Spring 2009 ECGR4124 Digital Signal Processing Final Spring 2009 Name: LAST 4 NUMBERS of Student Number: Do NOT begin until told to do so Make sure that you have all pages before starting Open book, 2 sheet front/back

More information

ECSE 512 Digital Signal Processing I Fall 2010 FINAL EXAMINATION

ECSE 512 Digital Signal Processing I Fall 2010 FINAL EXAMINATION FINAL EXAMINATION 9:00 am 12:00 pm, December 20, 2010 Duration: 180 minutes Examiner: Prof. M. Vu Assoc. Examiner: Prof. B. Champagne There are 6 questions for a total of 120 points. This is a closed book

More information

UNIVERSITY OF OSLO. Please make sure that your copy of the problem set is complete before you attempt to answer anything.

UNIVERSITY OF OSLO. Please make sure that your copy of the problem set is complete before you attempt to answer anything. UNIVERSITY OF OSLO Faculty of mathematics and natural sciences Examination in INF3470/4470 Digital signal processing Day of examination: December 9th, 011 Examination hours: 14.30 18.30 This problem set

More information

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.

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. ECE 35 Spring - Final Exam 9 May ECE 35 Signals and Systems Spring Final Exam - Solutions Three 8 ½ x sheets of notes, and a calculator are allowed during the exam Write all answers neatly and show your

More information

Digital Signal Processing. Lecture Notes and Exam Questions DRAFT

Digital Signal Processing. Lecture Notes and Exam Questions DRAFT Digital Signal Processing Lecture Notes and Exam Questions Convolution Sum January 31, 2006 Convolution Sum of Two Finite Sequences Consider convolution of h(n) and g(n) (M>N); y(n) = h(n), n =0... M 1

More information

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

Each problem is worth 25 points, and you may solve the problems in any order. EE 120: Signals & Systems Department of Electrical Engineering and Computer Sciences University of California, Berkeley Midterm Exam #2 April 11, 2016, 2:10-4:00pm Instructions: There are four questions

More information

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

NAME: 23 February 2017 EE301 Signals and Systems Exam 1 Cover Sheet NAME: 23 February 2017 EE301 Signals and Systems Exam 1 Cover Sheet Test Duration: 75 minutes Coverage: Chaps 1,2 Open Book but Closed Notes One 85 in x 11 in crib sheet Calculators NOT allowed DO NOT

More information

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

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Electrical Engineering and Computer Science Discrete-Time Signal Processing Fall 2005 1 MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Electrical Engineering and Computer Science 6.341 Discrete-Time Signal Processing Fall 2005 FINAL EXAM Friday, December 16, 2005 Walker (50-340) 1:30pm

More information

Digital Signal Processing. Midterm 2 Solutions

Digital Signal Processing. Midterm 2 Solutions EE 123 University of California, Berkeley Anant Sahai arch 15, 2007 Digital Signal Processing Instructions idterm 2 Solutions Total time allowed for the exam is 80 minutes Please write your name and SID

More information

QUESTION BANK SIGNALS AND SYSTEMS (4 th SEM ECE)

QUESTION BANK SIGNALS AND SYSTEMS (4 th SEM ECE) QUESTION BANK SIGNALS AND SYSTEMS (4 th SEM ECE) 1. For the signal shown in Fig. 1, find x(2t + 3). i. Fig. 1 2. What is the classification of the systems? 3. What are the Dirichlet s conditions of Fourier

More information

ENT 315 Medical Signal Processing CHAPTER 2 DISCRETE FOURIER TRANSFORM. Dr. Lim Chee Chin

ENT 315 Medical Signal Processing CHAPTER 2 DISCRETE FOURIER TRANSFORM. Dr. Lim Chee Chin ENT 315 Medical Signal Processing CHAPTER 2 DISCRETE FOURIER TRANSFORM Dr. Lim Chee Chin Outline Introduction Discrete Fourier Series Properties of Discrete Fourier Series Time domain aliasing due to frequency

More information

Solutions. Number of Problems: 10

Solutions. Number of Problems: 10 Final Exam February 9th, 2 Signals & Systems (5-575-) Prof. R. D Andrea Solutions Exam Duration: 5 minutes Number of Problems: Permitted aids: One double-sided A4 sheet. Questions can be answered in English

More information

ECE 413 Digital Signal Processing Midterm Exam, Spring Instructions:

ECE 413 Digital Signal Processing Midterm Exam, Spring Instructions: University of Waterloo Department of Electrical and Computer Engineering ECE 4 Digital Signal Processing Midterm Exam, Spring 00 June 0th, 00, 5:0-6:50 PM Instructor: Dr. Oleg Michailovich Student s name:

More information

ECGR4124 Digital Signal Processing Midterm Spring 2010

ECGR4124 Digital Signal Processing Midterm Spring 2010 ECGR4124 Digital Signal Processing Midterm Spring 2010 Name: LAST 4 DIGITS of Student Number: Do NOT begin until told to do so Make sure that you have all pages before starting Open book, 1 sheet front/back

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

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

Computer Engineering 4TL4: Digital Signal Processing

Computer Engineering 4TL4: Digital Signal Processing Computer Engineering 4TL4: Digital Signal Processing Day Class Instructor: Dr. I. C. BRUCE Duration of Examination: 3 Hours McMaster University Final Examination December, 2003 This examination paper includes

More information

Multirate signal processing

Multirate signal processing Multirate signal processing Discrete-time systems with different sampling rates at various parts of the system are called multirate systems. The need for such systems arises in many applications, including

More information

CITY UNIVERSITY LONDON. MSc in Information Engineering DIGITAL SIGNAL PROCESSING EPM746

CITY UNIVERSITY LONDON. MSc in Information Engineering DIGITAL SIGNAL PROCESSING EPM746 No: CITY UNIVERSITY LONDON MSc in Information Engineering DIGITAL SIGNAL PROCESSING EPM746 Date: 19 May 2004 Time: 09:00-11:00 Attempt Three out of FIVE questions, at least One question from PART B PART

More information

Chap 2. Discrete-Time Signals and Systems

Chap 2. Discrete-Time Signals and Systems Digital Signal Processing Chap 2. Discrete-Time Signals and Systems Chang-Su Kim Discrete-Time Signals CT Signal DT Signal Representation 0 4 1 1 1 2 3 Functional representation 1, n 1,3 x[ n] 4, n 2 0,

More information

! Introduction. ! Discrete Time Signals & Systems. ! Z-Transform. ! Inverse Z-Transform. ! Sampling of Continuous Time Signals

! Introduction. ! Discrete Time Signals & Systems. ! Z-Transform. ! Inverse Z-Transform. ! Sampling of Continuous Time Signals ESE 531: Digital Signal Processing Lec 25: April 24, 2018 Review Course Content! Introduction! Discrete Time Signals & Systems! Discrete Time Fourier Transform! Z-Transform! Inverse Z-Transform! Sampling

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

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

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

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

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 Spring 2018 Exam #1 New Mexico State University Klipsch School of Electrical Engineering EE312 - Signals and Systems I Spring 2018 Exam #1 Name: Prob. 1 Prob. 2 Prob. 3 Prob. 4 Total / 30 points / 20 points / 25 points /

More information

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

EE 3054: Signals, Systems, and Transforms Spring A causal discrete-time LTI system is described by the equation. y(n) = 1 4. EE : Signals, Systems, and Transforms Spring 7. A causal discrete-time LTI system is described by the equation Test y(n) = X x(n k) k= No notes, closed book. Show your work. Simplify your answers.. A discrete-time

More information

Q1 Q2 Q3 Q4 Q5 Total

Q1 Q2 Q3 Q4 Q5 Total EE 120: Signals & Systems Department of Electrical Engineering and Computer Sciences University of California, Berkeley Midterm Exam #1 February 29, 2016, 2:10-4:00pm Instructions: There are five questions

More information

ECGR4124 Digital Signal Processing Exam 2 Spring 2017

ECGR4124 Digital Signal Processing Exam 2 Spring 2017 ECGR4124 Digital Signal Processing Exam 2 Spring 2017 Name: LAST 4 NUMBERS of Student Number: Do NOT begin until told to do so Make sure that you have all pages before starting NO TEXTBOOK, NO CALCULATOR,

More information

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

Quiz. Good luck! Signals & Systems ( ) Number of Problems: 19. Number of Points: 19. Permitted aids: Quiz November th, Signals & Systems (--) Prof. R. D Andrea Quiz Exam Duration: Min Number of Problems: Number of Points: Permitted aids: Important: None Questions must be answered on the provided answer

More information

Stability Condition in Terms of the Pole Locations

Stability Condition in Terms of the Pole Locations Stability Condition in Terms of the Pole Locations A causal LTI digital filter is BIBO stable if and only if its impulse response h[n] is absolutely summable, i.e., 1 = S h [ n] < n= We now develop a stability

More information

Analog vs. discrete signals

Analog vs. discrete signals Analog vs. discrete signals Continuous-time signals are also known as analog signals because their amplitude is analogous (i.e., proportional) to the physical quantity they represent. Discrete-time signals

More information

ECE-314 Fall 2012 Review Questions for Midterm Examination II

ECE-314 Fall 2012 Review Questions for Midterm Examination II ECE-314 Fall 2012 Review Questions for Midterm Examination II First, make sure you study all the problems and their solutions from homework sets 4-7. Then work on the following additional problems. Problem

More information

/ (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

/ (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 Code No: RR320402 Set No. 1 III B.Tech II Semester Regular Examinations, Apr/May 2006 DIGITAL SIGNAL PROCESSING ( Common to Electronics & Communication Engineering, Electronics & Instrumentation Engineering,

More information

Review of Discrete-Time System

Review of Discrete-Time System Review of Discrete-Time System Electrical & Computer Engineering University of Maryland, College Park Acknowledgment: ENEE630 slides were based on class notes developed by Profs. K.J. Ray Liu and Min Wu.

More information

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

x(t) = t[u(t 1) u(t 2)] + 1[u(t 2) u(t 3)] ECE30 Summer II, 2006 Exam, Blue Version July 2, 2006 Name: Solution Score: 00/00 You must show all of your work for full credit. Calculators may NOT be used.. (5 points) x(t) = tu(t ) + ( t)u(t 2) u(t

More information

8 The Discrete Fourier Transform (DFT)

8 The Discrete Fourier Transform (DFT) 8 The Discrete Fourier Transform (DFT) ² Discrete-Time Fourier Transform and Z-transform are de ned over in niteduration sequence. Both transforms are functions of continuous variables (ω and z). For nite-duration

More information

Communications and Signal Processing Spring 2017 MSE Exam

Communications and Signal Processing Spring 2017 MSE Exam Communications and Signal Processing Spring 2017 MSE Exam Please obtain your Test ID from the following table. You must write your Test ID and name on each of the pages of this exam. A page with missing

More information

SIGNALS AND SYSTEMS. Unit IV. Analysis of DT signals

SIGNALS AND SYSTEMS. Unit IV. Analysis of DT signals SIGNALS AND SYSTEMS Unit IV Analysis of DT signals Contents: 4.1 Discrete Time Fourier Transform 4.2 Discrete Fourier Transform 4.3 Z Transform 4.4 Properties of Z Transform 4.5 Relationship between Z

More information

University of Illinois at Urbana-Champaign ECE 310: Digital Signal Processing

University of Illinois at Urbana-Champaign ECE 310: Digital Signal Processing University of Illinois at Urbana-Champaign ECE 0: Digital Signal Processing Chandra Radhakrishnan PROBLEM SET : SOLUTIONS Peter Kairouz Problem. Hz z 7 z +/9, causal ROC z > contains the unit circle BIBO

More information

Final Exam January 31, Solutions

Final Exam January 31, Solutions Final Exam January 31, 014 Signals & Systems (151-0575-01) Prof. R. D Andrea & P. Reist Solutions Exam Duration: Number of Problems: Total Points: Permitted aids: Important: 150 minutes 7 problems 50 points

More information

DIGITAL SIGNAL PROCESSING UNIT 1 SIGNALS AND SYSTEMS 1. What is a continuous and discrete time signal? Continuous time signal: A signal x(t) is said to be continuous if it is defined for all time t. Continuous

More information

DHANALAKSHMI COLLEGE OF ENGINEERING DEPARTMENT OF ELECTRICAL AND ELECTRONICS ENGINEERING EC2314- DIGITAL SIGNAL PROCESSING UNIT I INTRODUCTION PART A

DHANALAKSHMI COLLEGE OF ENGINEERING DEPARTMENT OF ELECTRICAL AND ELECTRONICS ENGINEERING EC2314- DIGITAL SIGNAL PROCESSING UNIT I INTRODUCTION PART A DHANALAKSHMI COLLEGE OF ENGINEERING DEPARTMENT OF ELECTRICAL AND ELECTRONICS ENGINEERING EC2314- DIGITAL SIGNAL PROCESSING UNIT I INTRODUCTION PART A Classification of systems : Continuous and Discrete

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

Question Bank. UNIT 1 Part-A

Question Bank. UNIT 1 Part-A FATIMA MICHAEL COLLEGE OF ENGINEERING & TECHNOLOGY Senkottai Village, Madurai Sivagangai Main Road, Madurai -625 020 An ISO 9001:2008 Certified Institution Question Bank DEPARTMENT OF ELECTRONICS AND COMMUNICATION

More information

University Question Paper Solution

University Question Paper Solution Unit 1: Introduction University Question Paper Solution 1. Determine whether the following systems are: i) Memoryless, ii) Stable iii) Causal iv) Linear and v) Time-invariant. i) y(n)= nx(n) ii) y(t)=

More information

Flash File. Module 3 : Sampling and Reconstruction Lecture 28 : Discrete time Fourier transform and its Properties. Objectives: Scope of this Lecture:

Flash File. Module 3 : Sampling and Reconstruction Lecture 28 : Discrete time Fourier transform and its Properties. Objectives: Scope of this Lecture: Module 3 : Sampling and Reconstruction Lecture 28 : Discrete time Fourier transform and its Properties Objectives: Scope of this Lecture: In the previous lecture we defined digital signal processing and

More information

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

ECE 301 Division 1 Exam 1 Solutions, 10/6/2011, 8-9:45pm in ME 1061. ECE 301 Division 1 Exam 1 Solutions, 10/6/011, 8-9:45pm in ME 1061. Your ID will be checked during the exam. Please bring a No. pencil to fill out the answer sheet. This is a closed-book exam. No calculators

More information

Module 3. Convolution. Aim

Module 3. Convolution. Aim Module Convolution Digital Signal Processing. Slide 4. Aim How to perform convolution in real-time systems efficiently? Is convolution in time domain equivalent to multiplication of the transformed sequence?

More information

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 Fall 2017 Exam #1 New Mexico State University Klipsch School of Electrical Engineering EE312 - Signals and Systems I Fall 2017 Exam #1 Name: Prob. 1 Prob. 2 Prob. 3 Prob. 4 Total / 30 points / 20 points / 25 points / 25

More information

Multidimensional digital signal processing

Multidimensional digital signal processing PSfrag replacements Two-dimensional discrete signals N 1 A 2-D discrete signal (also N called a sequence or array) is a function 2 defined over thex(n set 1 of, n 2 ordered ) pairs of integers: y(nx 1,

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

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

Ch.11 The Discrete-Time Fourier Transform (DTFT)

Ch.11 The Discrete-Time Fourier Transform (DTFT) EE2S11 Signals and Systems, part 2 Ch.11 The Discrete-Time Fourier Transform (DTFT Contents definition of the DTFT relation to the -transform, region of convergence, stability frequency plots convolution

More information

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

Fourier Methods in Digital Signal Processing Final Exam ME 579, Spring 2015 NAME Fourier Methods in Digital Signal Processing Final Exam ME 579, Instructions for this CLOSED BOOK EXAM 2 hours long. Monday, May 8th, 8-10am in ME1051 Answer FIVE Questions, at LEAST ONE from each section.

More information

Discrete Time Signals and Systems Time-frequency Analysis. Gloria Menegaz

Discrete Time Signals and Systems Time-frequency Analysis. Gloria Menegaz Discrete Time Signals and Systems Time-frequency Analysis Gloria Menegaz Time-frequency Analysis Fourier transform (1D and 2D) Reference textbook: Discrete time signal processing, A.W. Oppenheim and R.W.

More information

Digital Signal Processing Lecture 4

Digital Signal Processing Lecture 4 Remote Sensing Laboratory Dept. of Information Engineering and Computer Science University of Trento Via Sommarive, 14, I-38123 Povo, Trento, Italy Digital Signal Processing Lecture 4 Begüm Demir E-mail:

More information

EE 225D LECTURE ON DIGITAL FILTERS. University of California Berkeley

EE 225D LECTURE ON DIGITAL FILTERS. University of California Berkeley University of California Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences Professors : N.Morgan / B.Gold EE225D Digital Filters Spring,1999 Lecture 7 N.MORGAN

More information

R13 SET - 1

R13 SET - 1 R13 SET - 1 III B. Tech II Semester Regular Examinations, April - 2016 DIGITAL SIGNAL PROCESSING (Electronics and Communication Engineering) Time: 3 hours Maximum Marks: 70 Note: 1. Question Paper consists

More information

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

Signals and Systems. Problem Set: The z-transform and DT Fourier Transform Signals and Systems Problem Set: The z-transform and DT Fourier Transform Updated: October 9, 7 Problem Set Problem - Transfer functions in MATLAB A discrete-time, causal LTI system is described by the

More information

E : Lecture 1 Introduction

E : Lecture 1 Introduction E85.2607: Lecture 1 Introduction 1 Administrivia 2 DSP review 3 Fun with Matlab E85.2607: Lecture 1 Introduction 2010-01-21 1 / 24 Course overview Advanced Digital Signal Theory Design, analysis, and implementation

More information

ECE503: Digital Signal Processing Lecture 5

ECE503: Digital Signal Processing Lecture 5 ECE53: Digital Signal Processing Lecture 5 D. Richard Brown III WPI 3-February-22 WPI D. Richard Brown III 3-February-22 / 32 Lecture 5 Topics. Magnitude and phase characterization of transfer functions

More information

LAB 6: FIR Filter Design Summer 2011

LAB 6: FIR Filter Design Summer 2011 University of Illinois at Urbana-Champaign Department of Electrical and Computer Engineering ECE 311: Digital Signal Processing Lab Chandra Radhakrishnan Peter Kairouz LAB 6: FIR Filter Design Summer 011

More information

EEE4001F EXAM DIGITAL SIGNAL PROCESSING. University of Cape Town Department of Electrical Engineering PART A. June hours.

EEE4001F EXAM DIGITAL SIGNAL PROCESSING. University of Cape Town Department of Electrical Engineering PART A. June hours. EEE400F EXAM DIGITAL SIGNAL PROCESSING PART A Basic digital signal processing theory.. A sequencex[n] has a zero-phase DTFT X(e jω ) given below: X(e jω ) University of Cape Town Department of Electrical

More information

EE-210. Signals and Systems Homework 7 Solutions

EE-210. Signals and Systems Homework 7 Solutions EE-20. Signals and Systems Homework 7 Solutions Spring 200 Exercise Due Date th May. Problems Q Let H be the causal system described by the difference equation w[n] = 7 w[n ] 2 2 w[n 2] + x[n ] x[n 2]

More information

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

SIDDHARTH GROUP OF INSTITUTIONS:: PUTTUR Siddharth Nagar, Narayanavanam Road QUESTION BANK (DESCRIPTIVE) SIDDHARTH GROUP OF INSTITUTIONS:: PUTTUR Siddharth Nagar, Narayanavanam Road 517583 QUESTION BANK (DESCRIPTIVE) Subject with Code : Digital Signal Processing(16EC422) Year & Sem: III-B.Tech & II-Sem Course

More information

Ch. 7: Z-transform Reading

Ch. 7: Z-transform Reading c J. Fessler, June 9, 3, 6:3 (student version) 7. Ch. 7: Z-transform Definition Properties linearity / superposition time shift convolution: y[n] =h[n] x[n] Y (z) =H(z) X(z) Inverse z-transform by coefficient

More information

VALLIAMMAI ENGINEERING COLLEGE. SRM Nagar, Kattankulathur DEPARTMENT OF INFORMATION TECHNOLOGY. Academic Year

VALLIAMMAI ENGINEERING COLLEGE. SRM Nagar, Kattankulathur DEPARTMENT OF INFORMATION TECHNOLOGY. Academic Year VALLIAMMAI ENGINEERING COLLEGE SRM Nagar, Kattankulathur- 603 203 DEPARTMENT OF INFORMATION TECHNOLOGY Academic Year 2016-2017 QUESTION BANK-ODD SEMESTER NAME OF THE SUBJECT SUBJECT CODE SEMESTER YEAR

More information

Introduction to DSP Time Domain Representation of Signals and Systems

Introduction to DSP Time Domain Representation of Signals and Systems Introduction to DSP Time Domain Representation of Signals and Systems Dr. Waleed Al-Hanafy waleed alhanafy@yahoo.com Faculty of Electronic Engineering, Menoufia Univ., Egypt Digital Signal Processing (ECE407)

More information

Course and Wavelets and Filter Banks. Filter Banks (contd.): perfect reconstruction; halfband filters and possible factorizations.

Course and Wavelets and Filter Banks. Filter Banks (contd.): perfect reconstruction; halfband filters and possible factorizations. Course 18.327 and 1.130 Wavelets and Filter Banks Filter Banks (contd.): perfect reconstruction; halfband filters and possible factorizations. Product Filter Example: Product filter of degree 6 P 0 (z)

More information

Linear Convolution Using FFT

Linear Convolution Using FFT Linear Convolution Using FFT Another useful property is that we can perform circular convolution and see how many points remain the same as those of linear convolution. When P < L and an L-point circular

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

Detailed Solutions to Exercises

Detailed Solutions to Exercises Detailed Solutions to Exercises Digital Signal Processing Mikael Swartling Nedelko Grbic rev. 205 Department of Electrical and Information Technology Lund University Detailed solution to problem E3.4 A

More information

ENEE630 ADSP RECITATION 5 w/ solution Ver

ENEE630 ADSP RECITATION 5 w/ solution Ver ENEE630 ADSP RECITATION 5 w/ solution Ver20209 Consider the structures shown in Fig RI, with input transforms and filter responses as indicated Sketch the quantities Y 0 (e jω ) and Y (e jω ) Figure RI:

More information

Lecture 14: Windowing

Lecture 14: Windowing Lecture 14: Windowing ECE 401: Signal and Image Analysis University of Illinois 3/29/2017 1 DTFT Review 2 Windowing 3 Practical Windows Outline 1 DTFT Review 2 Windowing 3 Practical Windows DTFT Review

More information

Very useful for designing and analyzing signal processing systems

Very useful for designing and analyzing signal processing systems z-transform z-transform The z-transform generalizes the Discrete-Time Fourier Transform (DTFT) for analyzing infinite-length signals and systems Very useful for designing and analyzing signal processing

More information

Basic Multi-rate Operations: Decimation and Interpolation

Basic Multi-rate Operations: Decimation and Interpolation 1 Basic Multirate Operations 2 Interconnection of Building Blocks 1.1 Decimation and Interpolation 1.2 Digital Filter Banks Basic Multi-rate Operations: Decimation and Interpolation Building blocks for

More information

ESE 531: Digital Signal Processing

ESE 531: Digital Signal Processing ESE 531: Digital Signal Processing Lec 22: April 10, 2018 Adaptive Filters Penn ESE 531 Spring 2018 Khanna Lecture Outline! Circular convolution as linear convolution with aliasing! Adaptive Filters Penn

More information

Lecture 10. Digital Signal Processing. Chapter 7. Discrete Fourier transform DFT. Mikael Swartling Nedelko Grbic Bengt Mandersson. rev.

Lecture 10. Digital Signal Processing. Chapter 7. Discrete Fourier transform DFT. Mikael Swartling Nedelko Grbic Bengt Mandersson. rev. Lecture 10 Digital Signal Processing Chapter 7 Discrete Fourier transform DFT Mikael Swartling Nedelko Grbic Bengt Mandersson rev. 016 Department of Electrical and Information Technology Lund University

More information

DIGITAL SIGNAL PROCESSING LECTURE 1

DIGITAL SIGNAL PROCESSING LECTURE 1 DIGITAL SIGNAL PROCESSING LECTURE 1 Fall 2010 2K8-5 th Semester Tahir Muhammad tmuhammad_07@yahoo.com Content and Figures are from Discrete-Time Signal Processing, 2e by Oppenheim, Shafer, and Buck, 1999-2000

More information

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

Your solutions for time-domain waveforms should all be expressed as real-valued functions. ECE-486 Test 2, Feb 23, 2017 2 Hours; Closed book; Allowed calculator models: (a) Casio fx-115 models (b) HP33s and HP 35s (c) TI-30X and TI-36X models. Calculators not included in this list are not permitted.

More information

UNIVERSITI SAINS MALAYSIA. EEE 512/4 Advanced Digital Signal and Image Processing

UNIVERSITI SAINS MALAYSIA. EEE 512/4 Advanced Digital Signal and Image Processing -1- [EEE 512/4] UNIVERSITI SAINS MALAYSIA First Semester Examination 2013/2014 Academic Session December 2013 / January 2014 EEE 512/4 Advanced Digital Signal and Image Processing Duration : 3 hours Please

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

! Circular Convolution. " Linear convolution with circular convolution. ! Discrete Fourier Transform. " Linear convolution through circular

! Circular Convolution.  Linear convolution with circular convolution. ! Discrete Fourier Transform.  Linear convolution through circular Previously ESE 531: Digital Signal Processing Lec 22: April 18, 2017 Fast Fourier Transform (con t)! Circular Convolution " Linear convolution with circular convolution! Discrete Fourier Transform " Linear

More information

VII. Discrete Fourier Transform (DFT) Chapter-8. A. Modulo Arithmetic. (n) N is n modulo N, n is an integer variable.

VII. Discrete Fourier Transform (DFT) Chapter-8. A. Modulo Arithmetic. (n) N is n modulo N, n is an integer variable. 1 VII. Discrete Fourier Transform (DFT) Chapter-8 A. Modulo Arithmetic (n) N is n modulo N, n is an integer variable. (n) N = n m N 0 n m N N-1, pick m Ex. (k) 4 W N = e -j2π/n 2 Note that W N k = 0 but

More information