ECE 320
Signals and Systems II.
Spring 2005
Tuesday and Thursday,
12.00 – 1.15
Instructor: Prof. Janos Gertler, # 259 S&T II, jgertler@gmu.edu; Th. 2.00-4.00
Teaching
Assistant: TBA
Textbooks:
1.
Oppenheim and Willsky:
Signals and Systems, Second Edition, Prentice Hall.
2.
Buck, Daniel and Singer: Computer Explorations in Signals and Systems Using
MATLAB, Second Edition, Prentice Hall.
Course description. The
course is a continuation of ECE 220. In addition to
reinforcing the basic understanding obtained in the first course, 320 is concentrating on the frequency characterization of
signals and systems and introduces the discrete-time counterparts of the
continuous-time concepts.
Subjects:
1. Fundamentals of signals and systems
2. Linear time-invariant
systems
3. Fourier series
4. Continuous-time Fourier transform
5. Discrete-time Fourier transform
6. Time and frequency characterization of signals and systems
7. Sampling and reconstruction
8. z-transformation
Work
requirements:
Paper and pencil
homework will be assigned every week
There will be 2 MATLAB
projects, to be performed in groups
There will be three
exams (midterm and final), all in-class, closed book.
Course
grade:
3 exams
20% each
projects 15% each
homework 10% total
During
the final exam period, the first or second exam may be re-taken. The score will
be multiplied by 0.85 and, if higher than the original score, will replace it.
Week-by-week
schedule
Part
I.
Jan.
25 and 27.
Signal energy and power. Signal manipulations. Exponential
and periodic signals. Unit impulse.
Feb. 1
and 3.
Basic system properties. Convolution
in discrete time.
Feb. 8
and 10.
Convolution in continuous time.
Feb.
15 and 17.
Difference equation and shift operator description of discrete-time systems.
Part
II.
Feb.
22 and 24.
Fourier series in continuous time.
March 1: First exam
covering
March
8 and 10.
Frequency response in continuous and discrete time.
March
22 and 24.
Fourier transform of continuous-time signals.
March
29 and 31.
Convolution and multiplication property in continuous time.
Differential equation to Fourier transform.
Part
III.
April 5 and 7. Fourier
transform of discrete-time signals. Discrete-time convolution
property and filters.
April 12: Second exam
covering Part II.
April 14. Discrete-time multiplication property and
windowing.
April 19 and 21. Sampling and reconstruction.
April 26 and 28. Z-transformation.
May 3
and 5.
Discrete transfer function, poles and zeros, stability.
Final
Exam: May 17, 10.30 – 1.15
Exam III covering Part III.
Exam I and II retake.