Spring 2018 Syllabus

Fairfield University School of Engineering

Course Number: ECE411

Course Name: Digital Signal Processing

Course Time: Mon 6:30-9:00 PM

Course Location: Bannow 333

Schedule: 1/22/18-5/11/18

Final Exam: Project

Instructor: Jeffrey Denenberg

Office: BNW 301C

Office Phone: 203-254-4000x3330

Hours: M/T/W/R 5:00-6:00 or by appt.

Email1: jeffrey.denenberg@ieee.org

Goggle Voice: 203-513-9427

Email2: jdenenberg@fairfield.edu

WWW: http://doctord.webhop.net

Course Description:

Modern signal processing tools including vector spaces, bases and frames, operators, signal expansions and approximation, as well as classical signal processing tools including Fourier and z transforms, filtering and sampling, estimation, applications, and implementation.             

Prerequisites: EE301 or equivalent

Textbook:   

              Smith, Steven W., The Scientist and Engineer’s Guide to Digital Signal Processing, California Technical Publishing, 1997, ISBN: 0-9660176-3-3 - Homework Problems

References:

            Digital Signal Processing, John G. Proakis, Dimitris K Manolakis, 4th Edition, Pearson, 2006, ISBN: 978-0131873742  

            Schaum’s Outline of Digital Signal Processing, Monson H. Hayes, McGraw-Hill 2012,
ISBN: 976-0-07-163509-7

              DSP Video Lectures, Rich Radke, Rensselaer Polytehnic Institute

Required Software:

1.      MatLab and Simulink (download directly from mathworks following instructions posted on Blackboard).

2.      Recommended general computer requirements – PC running Windows 10 or later, Adobe reader, high-speed internet access, Internet Explorer or Firefox browser.  You may encounter difficulties with the lectures, simulation software, or internet testing software if you use Mac OS or Linux.  Please check all software compatibilities for your system promptly. 

MatLab Tutorials: Mathworks Tutorial, Prof. Aliane Tutorial

Signals and Systems References:

U. of Washington Interactive Notes (Phillips and Parr), EE235 (analog) and EE341 (Discrete).  

Recorded Lectures


 

Objectives and Outcomes:

No.

Objective

Outcomes

1

Understand the fundamental concepts and principles of Digital Signal Processing.

Students will understand the fundamental concepts and principles of Digital Signal Processing.
(1, Comprehension)

2

Students will use the Laplace transforms to find the system parameters, and determination of the response of systems to inputs including the step, impulse, and ramp.
(2, Application)

3

Understand A/D and D/A conversion and how it maps the analog frequency domain of Laplace transforms into the digital frequency domain of z-transforms.

Students will develop understanding of aliasing using block diagrams, complex frequency domain analysis, and system frequency response. (2, Analysis)

4

Students will analyze and synthesize multi-rate systems
(2, Analysis, Synthesis)

5

Understand how to analyze and design digital filers.

Students will develop mathematical models for approximating filter transfer functions to meet specifications.
(3, b, c, Analysis, Synthesis)

6

Students will demonstrate the use and application of MatLab software to the above. (2, Application)

*Objectives, ABET Criteria outcomes (a, b, c, k), and Bloom Cognitive Level in parenthesis

Grade allocation:   

Mid terms

40%

Final Exam

40%

Homework

20%

Total

100%

Grade Histogram

Exam:

The purpose of the exams is to convey your understanding of the material; therefore, it is important that you show your work.  Even if you feel that the solution to a problem is obvious; you must still explain why it is obvious.  Furthermore; if you are asked to solve a problem using a given technique; then please use that technique; otherwise, I have no way to judge your understanding of the technique being tested. 

Homework policy:

Homework will be assigned from the book as your primary preparation for the exams.  We will review select homework problems in class and you will be asked to work them on the board for a participation grade.  Homework must be completed on time or it will not help with the exams.  We will also incorporate design problems as appropriate to the material.  These problems are designed to challenge you to think beyond what the book has told you, and do real engineering.  There may be more than one correct answer.

If you understand how to do the homework problems you will have an easier time with the exams.

Academic Integrity:

Working with classmates to study, resolve problems, and learn the material is expected and encouraged during normal course work.  However, during individual evaluations (e.g. quizzes, exams, individual projects, etc.) you are expected to comply with all standards of academic honesty.  You will be graded fairly, and so your work should fairly represent your knowledge, abilities, and effort, not that of others.  Any breach of integrity (including but not limited to: copying solutions, internet solutions, copying from peers, claiming work or designs without proper citation, etc.), will not only impact your ability to learn the material and my ability to help you through proper feedback, it will result in academic penalty.  Any individual found in breach of this code will fail the afflicted assignment and will be asked to meet privately; any other offenses will be referred to the Dean for further action, and could result in penalties as severe as expulsion from the University.  

Disability:

If you have a documented disability and wish to discuss academic accommodations, please contact: Academic and Disability Support Services (203) 254-4000, x2615 and notify the course instructor within the first two weeks of the semester.

Class Expectations:

TEACHER:

Distribute syllabus.

Review the material described in the syllabus.

Explain material.

Identify additional materials, Internet sites or books that clarify the material.

Relate material to "real world" situations when possible.

Answer questions.

Be available to discuss problems.
Be receptive to new ideas.

Announce business/class conflicts in advance.

Make up missed classes.

Prepare and administer exams and projects.

Grade fairly.

Assign appropriate homework problems.

STUDENT:

Be familiar with the prerequisite material

Ask questions.

Stay current.

Study the material described in the syllabus, preferably before it is covered in class.

Complete the assigned homework (all chapter problems with answers).

Obtain class notes and homework if a class is missed.

Use the library and the Internet to obtain supplemental material.

Prepare for exams.

Ask for help (tutors are available for assistance)

Follow standards of academic integrity.



Class Topics and Order of Material

Wk

Date

Topic

Text Materials

Homework

Lecture Notes

Outcome

1

1/21

Course Introduction:  

Signals and Systems Review 

Ch1

Review Sig/Systems,
Get ahead in reading

Why Digital?-Mitra
DoctorD-Linear Systems

1

2

1/28

Introduction to Matlab

Sampling


Ch3


Ch3: 1, 3, 4, 7, 8

Matlab Tutorial
DoctorD-Sampling

 

3

2/5

Review HW3, Discrete Number systems, DSP SW, Discrete Linear Systems, Discrete Convolution

Ch4, Ch5, Ch6

Ch4: 1, 3, 5, 7, 8
Ch5: 1 – 4,

Ch6: 1 - 4

Fixed-Point-Numbers, DSP Intro,

Floating Point Numbers

 

4

2/12

Review HW4-6





Discrete-Convolution

 

 

2/19

2/20

President’s Day – No Classes
Tuesday is Monday,
Review for Exam1

 

 

 

 

5

2/26

Exam 1 (Chapters 1-6)

 

 

 

 

6

3/5

Exam 1 Reprise,
FIR Filters


Ch7


Ch7: 1 - 3, 5, 6


FIR.ppt

 

7

3/12

Spring Break No Classes

 

 

 

 

8

3/19

Review HW7,
The Discrete Fourier Transform

Ch8Ch9
Ch10Ch11

Ch8: 1 -3,6; Ch9: 2,5;
Ch10: 1, 4, 5, 6; Ch11: 1, 3, 4

DFT1.ppt, DFT2.ppt

 

9

3/26

Review HW 8-11,

The FFT, Continuous Signal Processing

Ch12Ch13

Ch12: 1 - 4
Ch13: 1 - 3, 5, 6


FFT.ppt, Discrete-Fourier-Transform

 

10

4/2

Review HW 12-13,
The z-Transform

Ch14Ch15
Ch16Ch17Ch33

Ch14: 1-3; Ch15: 1-4;
Ch16: 1-3; Ch17: 1-3

 

 

11

4/9

Exam 2 Review,
Digital Filters

Ch18

Ch18: ?
Ch33: ?

DFT-for-convolution.ppt
DoctorD-Ztransform.pdf

 

12

4/16

Exam 2 (Chapters 7-13)

 

 

 

 

13

4/23

Review HW 14-17, Exam 2 Reprise,
Recursive Filters

Ch19, Ch20, Ch21

Ch19: ?, Ch20: ?, Ch21: ?

 

IIR.ppt, Digital-Filter-Structure

 

13

4/23

Review HW 18,33
Digital Signal Processors

Ch28,

Ch28: ?


DSP-processors

5,6

14

4/30

Review HW 19-21,
Review for Final Exam

 

 

 

 

15

5/7

Final Exam
(Comprehensive – No Ch. 28)

Exam Week
(5/4 – 5/11)

Last day to submit any materials

 

2,6