Spring 2018 Syllabus
Fairfield University School of Engineering
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Course Number: ECE411 |
Course Name: Digital Signal
Processing |
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Course Time: Mon 6:30-9:00 PM |
Course Location: Bannow 333 |
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Schedule: 1/22/18-5/11/18 |
Final
Exam: Project |
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Instructor: Jeffrey Denenberg |
Office: BNW 301C |
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Office Phone: 203-254-4000x3330 |
Hours: M/T/W/R 5:00-6:00 or by appt. |
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Email1: [email protected] |
Goggle Voice: 203-513-9427 |
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Email2: [email protected] |
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
Smith,
Steven W., The Scientist and
Engineer’s Guide to Digital Signal Processing, California Technical
Publishing, 1997, ISBN: 0-9660176-3-3 - Homework Problems
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
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.
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No. |
Objective |
Outcomes |
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1 |
Understand
the fundamental concepts and principles of Digital Signal Processing. |
Students
will understand the fundamental concepts and principles of Digital Signal
Processing. |
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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. |
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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) |
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4 |
Students will analyze and
synthesize multi-rate systems |
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5 |
Understand how to analyze and design
digital filers. |
Students will develop mathematical
models for approximating filter transfer functions to meet specifications. |
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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:
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Mid
terms |
40%
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Final
Exam |
40%
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Homework |
20% |
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Total |
100% |
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 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.
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.
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.
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
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Wk |
Date |
Topic |
Text
Materials |
Homework |
Lecture Notes |
Outcome |
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1 |
1/21 |
Course
Introduction: |
Review Sig/Systems, |
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2 |
1/28 |
Introduction to Matlab Sampling |
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3 |
2/5 |
Review HW3, Discrete
Number systems, DSP SW, Discrete Linear Systems, Discrete Convolution |
Ch4:
1, 3, 5, 7, 8 Ch6:
1 - 4 |
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4 |
2/12 |
Review HW4-6 |
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2/19 2/20 |
President’s Day – No Classes |
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5 |
2/26 |
Exam 1
(Chapters 1-6) |
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6 |
3/5 |
Exam 1 Reprise, |
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7 |
3/12 |
Spring Break No Classes |
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8 |
3/19 |
Review HW7, |
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9 |
3/26 |
Review HW 8-11, The FFT, Continuous
Signal Processing |
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10 |
4/2 |
Review HW 12-13, |
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11 |
4/9 |
Exam 2 Review, |
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12 |
4/16 |
Exam 2 (Chapters 7-13) |
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13 |
4/23 |
Review HW 14-17, Exam 2
Reprise, |
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14 |
4/30 |
Review HW 18,33, Review
HW 19-21, |
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15 |
5/7 |
Final Exam |
Exam Week |
Last day to submit any materials |
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