ELEG 3301

Signals and Systems I
Course Syllabus (Fall 2024)
Fairfield University School of Engineering

 

Course Number: EE 301

Course Name: Signals & Systems I

Time: 2:00pm-3:15pm

Course Location: Bannow 124

Instructor: Jeffrey N. Denenberg

Final Exam: Design Project

Office: Bannow GR33

Hours: Tues/Fri 2:00PM 3:15PM,
            Tues/Fri 4:00PM - 5:00PM

Zoom Office: 710 293 2408

Google Voice: (203) 513-9427

Email: jeffrey.denenberg@ieee.org
           jdenenberg@fairfield.edu

WWW: http://doctord.dyndns.org/

Course Description:

This course studies and classifies continuous and discrete signals and systems. It presents time domain and discrete analysis of signals using the Fourier series, Laplace transforms, Fourier transforms, z-transforms, and fast Fourier transforms (e.g., differential equations, convolution, concept and meaning of impulse response); and examines frequency domain analysis, the Fourier series, and the Fourier transform as an alternative to time domain analysis. Students gain further insights into signal and system properties through the Laplace transform methods and the concept of the transfer function. Previously EE 0301.Prerequisites:  ELEG 2221 or MATH 2251 or equivalent

Objectives and Outcomes

No

Objective

Outcome

ABET 1-7

1

To understand and apply the principles of LTI systems

Students will analyze LTI systems with differential equations as well as Fourier and Laplace Transforms.

1

2

To understand and apply Laplace

Transforms to LTI systems

Student will apply Laplace transforms to “real world” engineering problems.

1

3

To understand and apply Fourier Series to LTI systems

Students will learn and apply Fourier Series in real world contexts.

1

4

To understand and apply Fourier

Transforms to LTI systems

Student will apply Fourier Transforms to “real world” engineering problems.

1

5

To understand and apply Discrete time system and signals to LTI systems

Students will apply the z-transform and discrete

Fourier analysis to engineering problems.

1,6,7

6

To develop familiarity with MATLAB for problem solving and system design

Students will use MATLAB to aid in solving all signals and systems problems, especially matrix-based systems.

1

Textbook:

 Systems and Signals (continuous and discrete), 4th ed., R. L. Ziemer, W. H Tranter, and
 D. R. Fannin, Prentice Hall, ISBN: 0-13-496456-X

 

TA:  nicholas.murphy (Murph)



Session Recordings: Lecture Recordings - Fall 2024

Grades as of Exam1: Results.htm

References:

 Schaum's Outline of Signals and Systems, 2nd ed., Hwei Hsu, McGraw-Hill,
    ISBN: 007163472X

 Interactive Lecture Notes (Phillips and Parr’s text,Thanks to the U. Washington),
 Note: Some materials here are based on Adobe Flash which is no longer supported in modern browsers. You can install the open-source
ruffle plug-in into your browser and most of the content will render correctly

 Performance Indicators and grading:

 Two written exams will be given at approximately equal intervals during the term as
 outlined in the syllabus. The exams will both be open book, open note.

Exams (2)

50%

Team Design Project

25%

Homework

25%

  Exam grading:

The purpose of the exam is to convey your understanding of the material; therefore, it is important that you show your work.  Even if you feel that the solution to a problem is obvious, you must still explain why it is obvious.  Furthermore, if you are asked to solve

a problem using a given technique; then please use that technique; otherwise, I have no way to judge your understanding of the technique being tested.

Homework policy:

The purpose of homework:

A: To give student practice.

B: To give professor feedback.

Homework will be collected and graded.

Your grade is based more on honest effort than correct answers.

Homework is due the next class after it is assigned (except when specified). This two-week homework cycle gives an intervening class where students can ask questions. Late homework assignments are not accepted.  If you know you have a conflict, please make arrangements ahead of time.

If you know in advance that you will be missing class, please contact me to make arrangements regarding homework.

If you understand how to do the homework problems you will have an easier time with the Exams.

Class structure:

Lectures will be the primary source of information.  Even though the lectures will be recorded, students are expected to attend every class and to participate in class discussions.  Homework assignments will be discussed in class. Students will be expected to solve problems in class. You will find it beneficial to review the chapters before the lecture.

Office hours are open for discussion of anything. You can get help with homework, projects, or more detailed explanations of topics covered in class. Feel free to stop by or make an appointment to meet another time.


Class Topics and Order of Material

 

Week

 

Topics/Chapters

**Chpt.

Obj.

References

HW

1

Sep 3

 

 

Sep 6

Course Introduction
Discussion of Syllabus and grading

Signals and Systems

 

 

Signals-Systems Introduction

Signals/Systems-Tool Summary DrD
MATLAB Tutorial – Dr. Aliane, University of New Haven

Signal Classifications and Properties

Get ahead in your Readings!

2

Sep 10,


Sep 13

Signals and Systems (cont.)

Noise Introduction

1

 

Notes

 

Signals1, Signals2,
Singularity Functions, Systems Intro

Noise Introduction DrD

Ch.1 - 3, 9, 14, 20, 26, 37

MatLab – 1, 3

3

Sep 17, 20

Time Domain Analysis of continuous

Systems

2

 

Convolution1, Conv.2, Conv.3,
Linear Systems Tutorial DrD

Ch.2 – 11, 20, 29

4

Sep 24, 27

Time Domain Analysis of continuous

Systems (cont.)

2

 

Linear Systems, DiffEq1, DiffEq2

CH.2 – 36, 37

MatLab – 1, 6

5

Oct 1
Oct 4

Fourier Series

Exam 1 (Covers Chapters 1,2 & Noise)

3

 

Fourier Series Tutorial DrD, FS Tutorial 2

 

Ch.3 – 3, 9, 25

6

Oct 8, 11

Fourier Series (cont.)

Fourier Transform

4

 

FourierSeries1, FourierSeries2, FourierCoef.,

LTI-Analysis,  Fourier Transform Tutorial DrD,

FT Tutorial 2, FT, FT-Prop1, FT-Prop2, FT-Examples,

Ch.4 – 1, 6, 8, 18, 25, 28,
MatLab – 1, 3, 5

7

Oct 15

Oct 18

Columbus Day – No Classes Oct 14. 15

Laplace Transform (LTI)



5

 

 

Laplace, Laplace2, LaplaceTransformTables

Ch.5a – 1, 3, 4, 6, 7

MatLab – 1, 3

8

Oct 22. 25

Laplace Transform (LTI cont.)

Filters, Discuss Design Project and Teams

5

E

 

Response of LTI Systems (Laplace Transforms) DrD
Filter Approximation Theory DrD, Filter Design DrD, DesignProject, FT-Applications, invLaplaceXform

Ch.5b – 18, 20. 28, 32

MatLab – 4; Ap.E – 5, 15

9

Oct 29

Nov 1

Sampling

Discrete Signals and Systems

8

 

Sampling Tutorial DrD, Sampling,

Signals/Systems-Tool Summary DrD,

Ch.8 – 1, 2. 4

10

Nov 5, 8

Discrete Signals (cont.)

Z-Transform

8

 

Difference Eq,

z-Transform Tutorial DrD, z-Transform Examples

Ch.8 – 18, 19, 23, 36

11

Nov 12, 15

Discrete Fourier Analysis, FFT

10

 

  DFT Tutorial DrD, Windowing, The FFT

Ch.10 – 1, 7, 10, 28

12

Nov 19

Nov 22

Exam 2 (Covers Chapters 3-8)

Discrete Fourier Analysis (cont.)

 

10

 

 

  Matlab-fft

 

13

Nov 26
Nov 29

Noise analysis in Linear Systems, Review,

Thanksgiving – No Classes Nov 27 – Dec 1

 

 

Noise Figure, Noise Temperature

 

 

14

Dec 3

Dec 8

Team Design Project* Discussion,
Design Project Presentations

Notes

 

 

 

 

15

Dec 17

More Presentations in Bannow 124
3-6 PM the final exam day if required

 

 

 

 

*Students to perform outside of class, ** Ch. 7 “State-Variables” is covered in Feedback Systems; Ch. 9 “Digital Filters” is MS level