Copyright
© 2002 OSU

Department
of ECE

Comments &
suggestions:
Kiettrvo@ece.orst.edu
Page last modified:
Nov 4,2002
1:30:14.

Oregon State
University

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