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

Introduction

1/12/2018

Module 2: Lecture 1

1/22/2018

Module 2: Lecture 2

1/25/2018

Module 2: Lecture 3

1/25/2018

Module 2: Lecture 4

1/25/2018

Module 2: Lecture 5

1/25/2018

Homework (click here)

Solve Questions 1, 2, 3.a, 9, 10

2/22/2018, due 2/27/2018

Module 1: Lecture 1

3/6/2018

Module 1: Lecture 2

3/6/2018

Module 1: Lecture 3

3/6/2018

Module 1: Lecture 4

3/6/2018

Module 3: Lecture 1

4/10/2018

Module 3: Lecture 2

4/10/2018

Module 3: Lecture 3

4/10/2018

Module 4

4/10/2018

 

 

TOPICS IN DETAIL:

 

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

 

Other Policies and Useful Information:

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The Disability Resource Center (DRC) coordinates all academic accommodations for students with documented disabilities. The DRC is the official office to review and house disability documentation for students, and to provide them with an official Academic Accommodation Plan to present to the faculty if an accommodation is warranted. Faculty should not provide students accommodations without being in receipt of this plan.

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