Department of Electrical and Computer
Engineering
Montana State University
Spring Semester 2007
LECTURE: Section 1 (CRN 35070), Mon., Wed., and Fri., 10:00-10:50AM,
Roberts Hall 208
LAB: Section 2 (CRN 35071), Thursday 11:00-12:50PM, Cobleigh Hall 601 (LAB)
Instructor
Prof. Robert C. Maher
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Office: |
529 Cobleigh Hall (southwest corner of 5th floor) |
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Phone: |
Office: 994-7759 |
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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:
· Describe the Sampling Theorem and how this relates to Aliasing and Folding.
· Determine if a system is a Linear Time-Invariant (LTI) System.
· Take the Z-transform of a LTI system
· Determine the frequency response of FIR and IIR filters.
· Understand the relationship between poles, zeros, and stability.
· Determine the spectrum of a signal using the DFT, FFT, and spectrogram.
· Design, analyze, and implement digital filters in Matlab.
· Explain the typical features of a digital signal processing chip.
Class Outline (subject to change)
Lab Schedule (subject to change)
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
Thurs
Feb 22
No lab this week
5
Thurs
Mar 1
FIR Filtering of Sinusoidal Waveforms
6
Thurs
Mar 8
Filtered Sampled Waveforms
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
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
Thurs
May 3
No lab this week
Course Grading:
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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. |
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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. |
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Exam 1: |
20% |
→ Written in-class exam given late in February. |
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Exam 2: |
20% |
→ Written in-class exam given early in April. |
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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
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.
Department policy requires that you receive a passing lab grade to pass this course.