University of Nevada, Las Vegas Department of Electrical and Computer Engineering |
CpE 260 Signals and Systems for Computer Engineers
Spring 2018
CATALOG DATA:
Real
and complex signals and linear time invariant (LTI) systems. Signal analysis using linear combinations of signals
from linear signal spaces. Analysis of LTI systems described by linear constant
coefficient differential equation using zero input and zero state responses,
homogeneous and particular response, and the Laplace transform.
Prerequisite:
MATH 182
Recommended Textbooks:
[1] B. Lathi, Linear Signals and System, Oxford Press, 2005.
[2] H. Hsu, Schaum's outline of
theory and problems of signals and systems, McGraw-Hill, 1995.
[3] A. Oppenheim, A. Willsky, Signals and systems, Prentice Hall
[4] M. Boelkins, J.
Goldberg, and M. Potter, Differential equations with linear algebra, Oxford
University Press, 2009.
[5]
Y.K. Kwok, Applied Complex Variables for Scientists
and Engineers, Cambridge University Press, 2002.
CLASS
SCHEDULE:
(1) The class is divided into 4 modules.
(2) There is one exam after Module 2, one exam
after Module 1, and one exam after Modules 3 and 4. The exam dates will be
announced in class.
Lecture
Notes and Homework Assignments:
Click here
for homework and solutions
Lecture Notes |
Posting Date |
1/12/2018 |
|
1/22/2018 |
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1/25/2018 |
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1/25/2018 |
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1/25/2018 |
|
1/25/2018 |
|
Solve Questions 1, 2, 3.a, 9, 10 |
2/22/2018, due 2/27/2018 |
3/6/2018 |
|
3/6/2018 |
|
3/6/2018 |
|
3/6/2018 |
|
4/10/2018 |
|
4/10/2018 |
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4/10/2018 |
|
4/10/2018 |
Module 1: Complex Signals
Analog and discrete signals
Fundamental
operations of complex signals
Polar
form of complex signals
Euler's
formula
Vector
interpretation of complex signals
Graphical
representation of complex signals
Elementary
complex signals
Limits
Continuity
Derivatives
Partial
derivatives
Cuachy
Riemann equations
Module 2: Signal Analysis
Linear signal spaces
Linear
combinations of signals
Linear
independence and dependence of signal sets
Spans
Basis
Dimension
Inner
Products
Norm
Orthogonality
Least
squares approximation
Correlation
Generalized
Fourier series
Module 3: Linear Time Invariant Systems
Impulse response and convolution
Separation
of variables
Zero
input response
Zero
state response
Homogeneous
solution
Particular
solution
Module 4: Laplace Transform
The Laplace transform
Properties
of the Laplace transform
Inverse
Laplace transform
Application
to linear time invariant systems
zero
input response
zero
state response
EVALUATION:
Class Attendance =
5%
Matlab Homework = 5%
Exam I =
30%
Exam II =
30%
Exam III =
30%
Total =100%
Grades are assigned based on overall class performance. Final
grade of the student will be based on the top score in this course.
You*ll need 50% to pass this course.
CONTACT:
Email: yingtao.jiang@unlv.edu
Phone: 702-895 2533
OFFICE
HOURS:
Tuesday/Thursday 2:30 pm
-5:00pm or by appointment |
Office location: TBE B322
Class
Meeting Time and Venue:
Tuesday/Thursday 1:00 pm
-2:15pm |
Location: BHS 211
COURSE
WEBSITE:
URL: http://www.ee.unlv.edu/~yingtao/2018_Spring/CpE260/CPE260-syllabus.htm
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