Department of Electrical and Computer Engineering
Montana State University

EE477:  Digital Signal Processing

Spring Semester 2005
LECTURE:  Section 1 (CRN 31980), Mon., Wed., and Fri., 10:00-10:50AM, CobH 632
LAB:  Section 2 (CRN 31981), Thursday 11:00-12:50PM, CobH 601 (LAB)
 

Instructor

Prof. Robert C. Maher

Office:	529 Cobleigh Hall (southwest corner of 5th floor)
Phone:	Office:  994-7759 Research Lab:  994-6575 (Faculty Court Unit 21) Home:  587-5925 (but please do not call me at home)
Email:	rob.maher@montana.edu
Class Page:	/rmaher/ee477
Office hours:	Monday: 11AM-noon, Thursday: 10-11AM, Friday:  11AM-noon,     or by appointment. Drop-in questions at other times are always OK if my office door is open.

 

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:

• Describe the Sampling Theorem and how this relates to Aliasing and Folding.
• Determine if a system is a Linear Time-Invariant (LTI) System.
• Be able to 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.
• Be able to design, analyze, and implement digital filters in Matlab.
• Be able to implement filters on a digital signal processor.

 

 

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)

    Thu      Jan 13   -  No Lab this week
1) Thu      Jan 20   - Introduction to Matlab
2) Thu      Jan 27   - Introduction to Complex Exponentials
3) Thu      Feb  3   - Synthesis of Sinusoidal Signals
4) Thu      Feb  10   - AM and FM Sinusoidal Signals
5) Thu      Feb 17   - FIR Filtering of Sinusoidal Waveforms
6) Thu      Feb 24   - Filtering Sampled Waveforms
    Thu      Mar  3   - No Lab this week
7) Thu     Mar 10  -  Everyday Sinusoidal Signals

Thu   Mar 17  -  No Lab (Spring Break)

  8) Thu      Mar  24   - Filtering and Edge Detection of Images
      Thu      Mar  31   - Filtering and Edge Detection of Images (cont.)
  9) Thu      Apr   7  - Sampling and Zooming of Images
10) Thu    Apr 14  - The z, n, and w Domains
11) Thu    Apr  21   - DSP Hardware
     Thu    Apr  28   - No Lab this week

Course Grading:
 

A course grade of F will be given if a student does not attend both midterm exams and the final exam, regardless of the accumulated point total.

 

Grade guarantee:  course letter grades may be higher (but will not be lower) than indicated by the following scale:

A- = 90%
B- = 80%
C- = 70%
D = 60%
F = 59%

Policies

• 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 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.
• You are responsible for all material covered in class and in the textbook reading assignments.
• You will work with a lab partner during the lab period, but 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.  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.
• 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.