Instructor
- Professor Larry Marple
Class
Loc & Time :
Dearborn
Hall 118. M,W,F 15:00 - 15:50
Email
to:
marple@ece.orst.edu
Office Hour: M,F
10:00-noon R 13:00-15:00 (24 Oct, 21 Nov, 5 Dec) T13:00-15:00
(29 Oct, 5 Nov, 12 Nov, 26 Nov)
Help Session: R
18.00-19.30 Owen 102 (except Dec 5 at Owen 101)
TAs:
Batcheller Hall 251
Shiwei
Zhao (T,R 10.00-11.00)
Tai Chain Chou (W 10.00-11.00)
Voranon Kiettrisalpipop(M 11.00-13.00)
Email
to: Zhao@ece.orst.edu
Chou@engr.orst.edu
Kiettrvo@ece.orst.edu
- Textbook:
E.W. Kamen and B.S. Heck, "Fundamentals of Signals
and Systems," Second Edition, Prentice Hall, 2000, ISBN
0-13-017293-6
- Reference:
A.V. Oppenheim and A.S.
Willsky, "Signals and Systems," Second Edition,
Prentice Hall, 1997, ISBN 0-13-814757-4
C. L. Phillips and J. M. Parr,"Signal,
System, and Transform,"
Second Edition, Prentice Hall, 1991, ISBN: 0-20-109589-0
D. K. Lindner, "Introduction
to Signals and Systems",First Edition, McGraw Hill,
1999, ISBN 0-25-625259-9
Prerequisites: ENGR 203,
MTH 256
Topics:
1) Fundamental
Concepts (Chapter 1,4 Lectures)
2) Differential and Difference Equations
(Chapter 2, 2.1-2.4, 5 Lectures)
3) Convolution (Chapter, 3.1-3.4, 4 Lectures)
4) The Fourier Transform (Chapter 4, 5 Lectures)
5) Frequency-Domain Analysis (Chapter 5 Lectures)
6) Discrete-Time Fourier Analysis
(Chapter 7, 4 Lectures)
MATLAB is used in this course extensively.
Examinations:
|
Exams
|
Date
|
Time
|
Place
|
Points
|
|
Mid #1
|
10/25
|
F 15:00
|
Dear 118
|
20
|
|
Mid #2
|
11/22
|
F 15:00
|
Gilbert 124
|
20
|
|
Final
|
12/10
|
T 12:00
|
Withycombe
109
|
25
|
One page of notes
is allowed during examinations.
midterm
1 solution
midterm
2 solution
Take
home midterm solution
final
exam solution
Homework:
|
Number
|
Assigned
|
Due(in
class)
|
Points
|
|
#1
|
10/09
|
10/16
|
5
|
|
#2
|
10/16
|
10/23
|
5
|
|
#3
|
10/23
|
11/06
|
10
|
|
#4
|
11/06
|
11/13
|
5
|
|
#5
|
11/13
|
11/27
|
10
|
**Homework
due at the beginning of the class on due date. No homework accepted
after class on due date.

Total
score and letter grade are posted
Grading:
|
A=93-100
|
A-=85-92
|
B+=79-84
|
B=73-78
|
B-=67-72
|
|
C+=61-66
|
C=55-60
|
C-=50-54
|
D=34-49
|
F<34
|

|
ECE
351 Topics: September 30 to December 6
Chapter 1:
- Definition of signals
and systems
- Continuous-time (CT) and
discrete-time (DT) models of signals and systems
- Input–Output system model
(CT and DT)
- Elementary signals (unit-step,
unit-ramp, impulse) (CT and DT)
- Periodic signals (CT and
DT)
- Conditions for the sum
of two periodic signals to be periodic (CT)
- Time shift (CT and DT)
- Sifting property of the
impulse (CT and DT)
- Continuous and piecewise-continuous
signals, signals defined by interval (CT)
- Generalized derivative
(CT)
- Properties of causal,
dynamic, linear, time-invariant systems (CT and DT)
Chapter 2:
- Examples of signals and
systems (CT and DT)
- Linear differential equations
with constant coefficients (CT)
- Modeling of electrical
circuits and simple mechanical systems (CT)
- Linear difference equations
with constant coefficients (DT)
- Recursive methods for
solving difference equation (DT)
Chapter 3:
- Convolution sum representation
of linear time-invariant (LTI) systems (DT)
- Unit-Pulse Response (DT)
- Graphical and analytical
computation of convolution sum (DT)
- Properties of convolution
sum (DT)
- Convolution integral
representation of linear time-invariant systems (CT)
- Impulse Response (CT)
- Graphical and analytical
computation of convolution integral (CT)
- Properties of convolution
integral (CT)
- Computation of linear,
time-invariant system output (DT and CT)
- Step response of linear,
time-invariant system (DT and CT)
Chapter 4:
- Representation of signals
in terms of frequency components (CT)
- Complex Exponential Form
(Euler's formula) (CT)
- Line Spectra (CT)
- Fourier series representation
of periodic signals (CT)
- Trigonometric Fourier
series (CT)
- Gibbs phenomenon (CT)
- Parseval's Theorem (CT)
- Fourier Transform (CT)
- Inverse Fourier Transform
(CT)
- Properties of the Fourier
Transform (CT)
- Generalized Fourier Transform
(CT)
- Fourier Transform of
periodic signals (CT)
Complex
Signal Info
Chapter
5:
-
Response of CT LTI System to Sinusoidal Input
- Response
of CT LTI System to Periodic Input
- Fourier
Series Representation of System Output
- Response
of CT LTI System to Aperiodic Input
- Ideal
CT Filters
- Ideal
CT Linear-Phase Lowpass Filter
- Sampling
Concepts
|
|
|