EE477: Digital Signal Processing
Instructor
Prof. Robert C. Maher
Office: |
529 Cobleigh Hall (southwest corner of 5th floor) |
Phone: |
Office: 994-7759 |
Email: |
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Class Page: |
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Office hours: |
Monday: 11AM-noon, |
Textbooks and Materials
1. DSP First: A Multimedia Approach, McClellan, Schafer, and Yoder, Prentice-Hall, 1998. Please put your name in your textbook in case the book is misplaced.
2. The textbook contains a CDROM that contains labs 1-10 that we will be using in the course. It is expected that you will print out and read these labs before coming to the laboratory.
Class Objectives
To produce graduates who understand how to analyze and manipulate digital signals and have the fundamental Matlab programming knowledge to do so.
Course Outcomes
At the conclusion of EE 477, students will be able to:
<![if !supportLists]> <![endif]>Describe the Sampling Theorem and how this relates to Aliasing and Folding.
<![if !supportLists]> <![endif]>Determine if a system is a Linear Time-Invariant (LTI) System.
<![if !supportLists]> <![endif]>Take the Z-transform of a LTI system
<![if !supportLists]> <![endif]>Determine the frequency response of FIR and IIR filters.
<![if !supportLists]> <![endif]>Understand the relationship between poles, zeros, and stability.
<![if !supportLists]> <![endif]>Determine the spectrum of a signal using the DFT, FFT, and spectrogram.
<![if !supportLists]> <![endif]>Design, analyze, and implement digital filters in Matlab.
<![if !supportLists]> <![endif]>Explain the typical features of a digital signal processing chip.
Class Outline (subject to change)
- Course introduction: Expectations, lab resources, protocol.
- Sinusoids, discrete-time signals, complex exponentials, phasors (2 weeks)
- Sampling (2 weeks)
- Discrete-time system properties (2 weeks)
- FIR filters, simple LTI systems (1 week)
- Frequency response (2 weeks)
- z-transforms (2 weeks)
- IIR filters (2 weeks)
- Discrete Fourier Transform and FFT (1 week)
- Practical topics (2 weeks)
Lab Schedule (subject to change)
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Thurs |
Jan 18 |
No lab this week |
1 |
Thurs |
Jan 25 |
Introduction to Matlab |
2 |
Thurs |
Feb 1 |
Introduction to Complex Exponentials |
3 |
Thurs |
Feb 8 |
Synthesis of Sinusoidal Signals |
4 |
Thurs |
Feb 15 |
AM and FM Sinusoidal Signals |
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Thurs |
Feb 22 |
No lab this week |
5 |
Thurs |
Mar 1 |
FIR Filtering of Sinusoidal Waveforms |
6 |
Thurs |
Mar 8 |
Filtered Sampled Waveforms |
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Thurs |
Mar 15 |
No lab this week (spring break) |
7 |
Thurs |
Mar 22 |
Everyday Sinusoidal Signals |
8 |
Thurs |
Mar 29 |
Filtering and Edge Detection of Images |
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Thurs |
Apr 5 |
Filtering and Edge Detection of Images (cont.) |
9 |
Thurs |
Apr 12 |
Sampling and Zooming of Images |
10 |
Thurs |
Apr 19 |
The z, n, and w Domains |
11 |
Thurs |
Apr 26 |
DSP Hardware |
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Thurs |
May 3 |
No lab this week |
Course Grading
Homework: |
10% |
→ Homework will be required periodically. Homework is due on the due date at the BEGINNING of class. No late homework will be accepted. |
Lab Reports: |
25% |
→ Lab reports are due no later than the BEGINNING of the next week's lab session, unless otherwise announced. No late lab reports will be accepted. |
Exam 1: |
20% |
→ Written in-class exam given late in February. |
Exam 2: |
20% |
→ Written in-class exam given early in April. |
Final Exam: |
25% |
→ The cumulative final exam is: RESCHEDULED FOR: Wednesday, May 9, 2007 (10AM-noon) |
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100% |
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Grade guarantee: course letter grades may be higher (but will not be lower) than indicated by the following scale:
A range = 90-100%
B range = 80-89%
C range = 70-79%
D range = 60-69%
F = 59% or less
Policies
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A course grade of F will be given if you do not attend both midterm exams and the final exam, regardless of the accumulated point total.
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Department policy requires that you receive a passing lab grade to pass this course.
- All students must have an electronic mail address listed with the MSU My Info system. Announcements and reminders for EE477 will be sent occasionally via email. Students will also need to get an MSU computer access account and printing privileges for the ECE Department computer labs.
- You are responsible for all material covered in class and in the textbook reading assignments.
- You are expected to keep a clean lab area and return items to their proper place. Equipment is expensive and is provided for your learning experience. Please conduct yourselves appropriately. Abusive behavior toward the lab equipment, other students, or the instructors, will result in summary dismissal from the course.
- Late submissions of assignments (labs or homework) will not be accepted. Plan ahead and notify the instructor prior to justifiable absences, or if a bona fide emergency prevented you from attending class.
- Please note that many of the lab assignments depend upon earlier labs: even if you
miss a lab or get a zero score because you do not turn in the lab assignment on time,
you will still need to be responsible for the material in order to complete subsequent
lab assignments.
- NOTE: Although you may work with a lab partner during the lab period, your lab report must be prepared individually. Homework and exams also must be prepared individually. Submitting collaborative assignments or presenting the work of others as your own without express permission in advance from the instructor is dishonest and grounds for filing an academic misconduct form and/or dismissal from the course. Let there be no doubt about the academic integrity policy for this class. I am not joking about this: I have submitted misconduct forms in the past and I will do so again if I encounter academic dishonesty.