DD 310 ECE Signals and Systems, Spring 2004

Tentative Lecture Schedule

All chapter, section, and page numbers refer to the required text, Fundamentals of Signals and Systems Using The Web and MATLAB, by E. Kamen and B. Heck.

Students should review the following sections, which are course prerequisites, prior to Lecture 1.

Appendix A    Brief Review of Complex Variables   pp. 703–707
Appendix B    Brief Review of Matrices 708–713
2.1    Linear Input/Output Differential Eqns with Constant Coefs   pp. 57–60
2.2    System Modeling   pp. 61–65
2.3    Linear Input/Output Difference Eqns with Constant Coefs   pp. 66–72
2.4    Discretization in Time of Differential Equations   pp. 72–80

Lectures 1 – 2:     Ch. 1.   FUNDAMENTAL CONCEPTS

1/13       1.1    Signals and Systems   pp. 1–6
1/13       1.2    Continuous-Time Signals   pp. 6–17
1/13       1.3    Discrete-Time Signals   pp. 17–25
1/15       1.4    Examples of Systems   pp. 25–36
1/15       1.5    Basic System Properties   pp. 36–47

Lectures 3 – 4:     Ch. 3.   CONVOLUTION REPRESENTATION

1/20       3.1    Convolution Representation of LTI Discrete-Time Systems   pp. 101–104
1/20       3.2    Convolution of Discrete-Time Signals   pp. 104–114
1/22       3.3    Convolution Representation of LTI Continuous-Time Systems   pp. 114–118
1/22       3.4    Convolution of Continuous-Time Signals   pp. 118–128

Lecture 5:     Exam 1 covering Chapters 1 and 3    1/27

Lectures 6 – 7:     Ch. 4   THE FOURIER SERIES AND FOURIER TRANSFORM

1/29       4.1    Representation of Signals in Terms of Frequency   pp. 146–153
1/29       4.2    Fourier Series Representation of Periodic Signals   pp. 153–161
1/29       4.3    Fourier Transform   pp. 161–175
2/03       4.4    Properties of the Fourier Transform   pp. 175–189
2/03       4.5    Generalized Fourier Transform   pp. 190–192

Lectures 8 – 9:     Ch. 5   FREQUENCY-DOMAIN ANALYSIS OF SYSTEMS

2/05       5.1    Response to a Sinusoidal Input   pp. 203–210
2/05       5.2    Response to Periodic Inputs   pp. 210–215
2/05       5.3    Response to Aperiodic Inputs   pp. 216–221
2/10       5.4    Analysis of Ideal Filters   pp. 221–231
2/10       5.5    Sampling   pp. 231–238

Lecture 10:     Review    2/12

Lecture 11:     Exam 2 covering Chapters 4 and 5    2/17

Lectures 12 – 13:     Ch. 7   FOURIER ANALYSIS OF DISCRETE-TIME SIGNALS AND SYSTEMS

2/19       7.1    Discrete-Time Fourier Transform   pp. 298–310
2/19       7.2    Discrete Fourier Transform   pp. 310–322
2/24       7.3    Properties of the DFT   pp. 322–331
2/24       7.4    System Analysis via the DTFT and DFT   pp. 331–338

Lectures 14 – 15:     Ch. 8   THE LAPLACE TRANSFORM AND THE TRANSFER FUNCTION REPRESENTATION

2/26       8.1    Laplace Transform of a Signal   pp. 359–363
2/26       8.2    Properties of the Laplace Transform   pp. 363–374
2/26       8.3    Computation of the Inverse Laplace Transform   pp. 374–394
3/02       8.4    Transform of the Input/Output Differential Equation   pp. 394–401
3/02       8.5    Transfer Function Representation   pp. 401–415

Lecture 16:     Exam 3 covering Chapters 7 and 8    3/04

Lectures 17 – 18:     Ch. 9   SYSTEM ANALYSIS USING THE TRANSFER FUNCTION REPRESENTATION

3/16       9.1    Stability and the Impulse Response   pp. 436–439
3/16       9.4    Response to Sinusoids and Arbitrary Inputs   pp. 459–465
3/18       9.5    Frequency Response Function   pp. 465–484
3/18       9.6    Causal Filters   pp. 484–498

Lectures 19 – 21:     Ch. 11   THE Z-TRANSFORM AND DISCRETE-TIME SYSTEMS

3/23       11.1    z-Transform of a Discrete-Time Signal   pp. 556–560
3/23       11.2    Properties of the z-Transform   pp. 560–571
3/25       11.3    Computation of the Inverse z-Transform   pp. 571–581
3/25       11.4    Transfer Function Representation   pp. 581–593
3/30       11.5    Stability of Discrete-Time Systems   pp. 593–597
3/30       11.6    Frequency Response of Discrete-Time Systems   pp. 597–601

Lecture 22:     Exam 4 covering Chapters 9 and 11    4/01

Lectures 23 – 24:     Ch. 13   STATE REPRESENTATION

4/06       13.1    State Model   pp. 656–659
4/06       13.2    Construction of State Models   pp. 659–667
4/06       13.3    Solution of State Equations   pp. 667–676
4/08       13.4    Discrete-Time Systems   pp. 676–682
4/08       13.5    Equivalent State Representations   pp. 683–689
4/08       13.6    Discretization of State Model   pp. 689–692

Lecture 25:     Exam 5 covering Chapter 13    4/13

Lectures 26 – 28:     Review    4/15, 4/20 and 4/22

Final Exam covering entire course    4/29  4–7pm

 
Page last modified 01/09/07.