Department of Electrical and Computer Engineering
Montana State University

EE502:  Digital Filters

Spring Semester 2003
Section 1 (CRN 33568), MWF 8:00-8:50AM, CobH 632

Instructor

Prof. Robert C. Maher

Office:	529 Cobleigh Hall (southwest corner of 5th floor)
Phone:	Office:  994-7759 Home:  587-5925 (but please do not call me at home)
Email:	rob.maher@montana.edu
Class Page:	http://www.coe.montana.edu/ee/rmaher/ee502
Office hours:	Tuesdays, 2-4PM. (Drop-in questions are always OK if my office door is open)

Textbook

"Discrete-Time Signal Processing, 2nd Edition" by Oppenheim, Schafer, and Buck, Prentice Hall, 1999 (ISBN: 0-13-754920-2).

Class Objectives

Students learn the essential advanced topics in digital signal processing that are necessary for successful graduate-level research.  The course includes a review of the linear constant-coefficient system properties covered in an undergraduate DSP course, and then examines a variety of multirate filter structures, time-varying and adaptive systems, fast algorithms, and other topics relevant to the research areas of the students.

Class Outline (subject to change)

• Review of discrete-time signals and systems concepts; z-transform properties (3 weeks)
• Sampling, multirate processing, and oversampling (1 week)
• Frequency response and transform analysis (1 week)
• Filter structures and filter design (2 weeks)
• DFT and DCT (1 week)
• FFT and short-time Fourier transform (STFT) applications (2 weeks)
• Introduction to parametric and adaptive signal processing (2 weeks)
• Array processing (1 week)
• Introduction to data compression (1 week)

Grading

Homework:	25%	→ Homework will be required periodically (approximately 6 assignments)
Exam #1	25%	→ (February 26, 2003) Written exam given during class time (50 minutes)
Exam #2	25%	→ (April 4, 2003) Written exam given during class time (50 minutes)
Final Project:	25%	→ A final written project will be assigned during the latter portion of the semester.
	100%

Policies

• You are responsible for all material covered in class and in the textbook reading assignments.
• Homework, exams, and projects must be prepared individually. Submitting the work of others without clear attribution or collaboration without permission is dishonest and grounds for dismissal from the course.
• Late submissions of assignments 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.