EEE 203
Signals and Systems
Spring 2016, MW 12:00-1:15 SCOB228
Instructor: Kostas Tsakalis, GWC 358, 965-1467,
Office Hours: see schedule or by appt.
Textbook: Oppenheim and Willsky Signals and
Systems, 2nd Ed., Prentice Hall, 1997.
Course Outline:
Grading: HW (10%), 5 Tests (50% average of best 4/5), Final (40%)
Absolute
Grading Scale: A > 90 > B > 75 > C
> 60 > D > 50 > E
(Cut-off
points may only decrease depending on the final grade distribution.)
ALL TESTS ARE CLOSED-BOOKS/NOTES.
THE LINKED TABLES OF FOURIER PROPERTIES ARE
ALLOWED (Print your own copy).
Important Dates:
HW: see below
Tests: see below (typically
last 30min of class, 2 problems) Grade distribution
Final Exam, WED May 4 9:50-11:40 (Notice time!!!)
Academic integrity policy:
https://provost.asu.edu/index.php?q=academicintegrity
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HW Assignments, Test Material, Handouts
Reading material: Class Notes #1 (.pdf)
Basic definitions and examples on system properties.
Linearity, Time Invariance, Causality, Memory, Stability.
Solved Problems:
Selection from
Ch.1-8
Other
Solved Problems Ch.1-10
Old tests and homework
Last tests and homework (note: different numbering)
!!! Convolution Demos: Try out this JAVA-based program (http://www.eas.asu.edu/~midle/jdsp/)
ASSIGNMENTS SEE LINK FOR HW PROBLEM STATEMENTS AND SOLUTIONS
Study: Chapters 1.1-1.4 and relevant
solved problems, including 2.20
HW#1. Due Date 2/1
2/8. Test 1 Material: HW#1
SOLUTIONS
Transformations of the independent variable; e.g.,
given x(t), sketch x(2t-1), given y[n], sketch y[1-n].
Elementary functions; unit step, e.g., given a
piece-wise constant x(t), express it in terms of unit steps;
unit delta, e.g., compute an integral involving
delta(.)
Study: Chapters 1.5, 1.6,
2 and relevant solved problems
HW#2 Due date 2/15
2/22. Test 2 Material: HW#2
SOLUTIONS
System properties and applications (Linearity,
time-invariance). Convolution
Study: Chapters 3, 4, 6 and relevant
solved problems
HW#3. Due date 2/29
3/14. Test 3 Material: HW#3
SOLUTIONS
Fourier Series: Signal
approximation, response of LTI systems to periodic inputs
Fourier Transform: Basic Properties
Fourier Transform Applications: Filtering
Notice: New dates
Study: Chapter 7 and relevant solved
problems
HW#4. Due date 3/21 3/28
3/28 4/4 Test 4 Material: HW#4 SOLUTIONS
Sampling and reconstruction
Study: Chapter 9 and relevant solved problems
HW#5. Due
date 4/4 4/11
4/11 4/18
Test 5 Material: HW#5 SOLUTIONS
Laplace transforms: Basic properties, System
transfer functions
Study: Chapters 5, 10 and relevant solved
problems
HW#6. Due date 4/18 4/25
4/25 Test 6 Material: HW#6 Practice Test with SolutionsZ-transforms: Basic properties, System
transfer functions
Other HW. Download the files: Problem description , Matlab file , Tada sound .
Study the problem described in the linked notes. Use the Matlab
program to experiment with
different parameter values (frequency, filters, etc)
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EEE 203 FINAL EXAM Material:
System properties (L,TI,C,M,S),
e.g., given a system determine if it is TI.
Output of a system to
"composite" inputs from its output to elementary inputs.
Linear systems: General description; system
properties in terms of the impulse response; convolution;
e.g., given a linear system determine if it is
causal. Also given h and x find the convolution h*x.
Fourier Series expansions; expansion of periodic
signals (impulse-trains, pulse-trains);
properties of FS (simplify the computation of FS
using linearity, time shifts etc.);
filtering (computation of FS for the output);
Parseval's relation (finite FS approximation properties, compute
filter/other parameters
to retain/reject a certain percentage of the input
signal energy etc).
Fourier Transforms, Basic Properties. (Compute the
Fourier Transform of "composite" signals
using shifting/convolution/... properties. Compute
frequency-domain properties without
explicitly computing the transform itself).
Fourier Transforms, Applications:
Filtering (Use of the convolution property, ideal
filters, basic notions of non-ideal filters.
Steady-state response to sinusoids. Transfer functions of systems described by ODEs
with constant coefficients.).
Sampling and Reconstruction
(Frequency domain analysis of sampling systems).
Discrete time signals and
systems. Fundamental properties,
difference equations, transfer functions.
Steady-state response to
asymptotically (steady-state) periodic inputs.