EE 430 Fall 2011
Course Name: EE430, Digital Signal Processing
Course Description: Building upon the basic
theory of signals and systems analysis, this course introduces the student to
the theory and applications of digital signal processing. Topics covered
include the representation of discrete-time signals, frequency domain and
Z-domain analysis of discrete-time signals and systems, discrete Fourier
transform, sampling, A/D, and D/A conversion, discrete-time feedback systems
and system structures, difference equations and transfer functions, minimum,
maximum and linear-phase systems, design of FIR and IIR filters, window based
FIR filter design, digital filtering of signals, FFT algorithm and structures,
FFT based power spectrum analysis, discrete Hilbert transform and homomorphic
signal processing. Experience in the
design, implementation and application of DSP techniques is acquired by the
Matlab homeworks.
Lecturers: Dr.Aydın Alatan, Dr.T. Engin Tuncer
LectureHours:Sec1:Wed.10:40,Fri.13:40-15:30(EA307-208),Sec2:Wed.13:40-15:30,Fri.11:40(EA310-307)
Grading: Homework 15
%, 2 Midterms 25 %, Final 35%
Textbook: Discrete-time Signal Processing 2nd
edition by Oppenheim and Schafer.
Course Assistants: U. Orguner, A.Koz
Course Outline
Homeworks:
Usually there will be a homework for every week.
Homeworks will have two parts, namely the written part and a Matlab part. The
process of actively struggling with an assignment is one of the most important
educational experiences that you will have in this course. Your main incentive
for consistently doing the assignments should be to enhance your comprehension
of the material. Written homework will be assigned related to the topics
covered during the lectures. It is very beneficiary for the student to put some
individual work on these. Late homework will not be accepted.
We will extensively use Matlab which is a
programming language and data visualization tool. It is widely used in Signal
Processing and Communications Systems designs. Matlab problems will enhance
your understanding of the course material. In addition, it will give you a
concrete idea of the practical applications and use of Signal Processing
theory. Matlab assignments will be returned by submitting :
Expectations:
We expect you to make an honest effort to do the
homework and submit on time. Also we expect that the work you submit to us
under your name is yours. Interactions of students on the problems are useful
and are encouraged, but each person should work out his/her solution. Copying
from others is immature, dishonest and waste of everyone’s time.