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