EE 473

Introduction to Digital Signal Processing

**Textbook:** J.G. Proakis & D. Manolakis,
*Digital Signal Processing, 3rd edition *, Prentice Hall.

**Reference books:** Oppenheim & Schafer,
*Discrete-Time Signal Processing, 2nd edition *, Prentice
Hall. and
V.K. Ingle, J.G. Proakis, *Digital Signal Processing using MATLAB*

**Instructor:** M. Levent Arslan
**Email:** arslanle@boun.edu.tr

**Class Hours: **Tuesday 10:00-11:50 KB230, Thursday
12:00-12:50 KB125

**Office Hour: **Mondays 10:00-11:00

**Teaching Assistant:** Ebru Arisoy
**Email:** arisoyeb@yahoo.com

**Note: **You are expected to work
on homeworks on your own. Academic Dishonesty will not be tolerated in this course.

**Important announcements:** will be made on WWW adress(this page):

http://hamlin.cc.boun.edu.tr/~arslanle/ee473-syllabus.html

**Announcements:**

**Homeworks:**

HW1 Due

HW2 Due

HW3 Due

HW4 Due

HW5 Due

HW6 Due

HW7 Due

Note: In Homework equations, p corresponds to the constant "pi", W corresponds to capital Greek letter omega, w corresponds to lowercase Greek letter omega.

**Topics:**

- Introduction + MATLAB Tutorial (1 week)
- Discrete Time Signals and Systems (1 week)
- Z-Transform (1 week)
- Frequency Analysis of Signals and Systems (1 week)
- Discrete Fourier Transform (3 weeks)
- Fast Fourier Transform (1 week)
- Filter Structures (1 week)
- Filter Design Techniques (2 weeks)
- Applications of Digital Signal Processing (1 week)

**Computer Usage:**

- Homeworks require MATLAB programming
- Semester project requires MATLAB or C/C++ programming

**Assessment:**

- Midterm %25
- Final exam %35
- Semester project proposal %2
- Semester project %23
- Homeworks + Quizes %15
- Homeworks are due beginning of the class hour. Homeworks will not be accepted at the end of the class hour or in the middle of class hour. Late homeworks within 1 week will be evaluated over 50% of total grade, anything later will not be considered.
- There will be Pop Quizes. In Quizes, one of the previous Homework problems will be asked.
- Exams are closed book. In exams, you can prepare a formula sheet from an A4 size paper. You should also bring a calculator for exams.

**Semester Project Proposals:** You can start working on
your semester project anytime during the semester by assigning a one-page
Project Proposal. The proposal should indicate the title of the project,
students participating in the project, brief description of the problem, time
schedule for the project milestones, and a reference list. Semester project
groups are limited to 2 students minimum, 4 students maximum. If there
are more students in the group the expectation will be higher in terms of the
complexity of the project. The latest date to submit project proposals is November 10. Your project group
will not get 2% of the grade if the proposal is not submitted on time.

**Semester Project Topics: **You can choose
your topic for the semester project. Below are some of the proposed topics:

- Implementation of a graphic equalizer for music.
- System Identification for a Pole-Zero system.
- Noise reduction.
- Linear Predictive Coding
- Dual Tone Multifrequency (DTMF) Detection
- Implementation of a general-purpose filter design package.
- Implementation of a "sound effects studio package" (i.e., disco, stadium, pop, jazz effects)
- Image compression
- Edge Detection
- Radar Signal Detector
- Speech coding
- End-Point Detection
- Speech - Music Classifier
- Speech Synthesis from Syllables