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Teaching>EE 3523 Signal and Systems II

Department of Electrical Engineering
EE 3523 Signals and Systems II (Credit 3)
Syllabus

Catalog Data: This course is a fundamental course in Electrical Engineering and provides an applications-oriented introduction to discrete- time signals and systems. It begins with reviewing the linear systems, Fourier Series and Fourier Transform. Converge originates with sampling techniques, discrete-time systems, convolution. It continues with DFT/FFT algorithms, Z transforms and LTI applications. Prerequisites: EE-3423 Systems and Systems I.
Textbook:
C.L.Philips, J. M. Parr, “Signals, Systems and Transforms” , Prentice Hall Pub.1998

Reference:
1. E.Kamen, B.Hack, “Fundamental of Signals and Systems Using the Web and Matlab” Prentice Hall Pub. 2000
2. 1 A. V. Oppenheim, A.S. Willsky, S. Nawab,and S. H. Nawab , “Signals and Systems ” Prentice Hall Pub. 1996

Coordinator:
Sos Agaian, Ph.D., Associate Professor, Electrical Engineering

Goals:
Prepare students with mathematical tools and methods for analysis and design of discrete-time linear systems. Help students: to understand and apply Fourier transform for discrete-time signals; to understand the basic principles of discrete-time linear time-invariant systems, convolution, and Z- transform; to appreciate relationships between Z transform and Fourier series; to apply Z and discrete Fourier transforms. .

Topics:

  1. Continuous and -Discrete Time Signals and Systems (1 classes)
  2. Review the Linear Continuous-Time Systems, Fourier Series and Fourier Transform (4 classes)
  3. Properties of discrete-time signals and systems (2 classes)
  4. FIR filtering and convolution (3 classes)
  5. Z-Transform (4 classes)
  6. LTI System Applications (3 classes)
  7. DFT/FFT algorithms (6 classes)
  8. Applications (2 classes)
  9. Tests (3 classes)
Computer Usage:
Matlab software tools usage

Laboratory projects:
None

ABET category content as estimated by faculty member who prepared this course description:
Engineering Sciences: 3 Credits (100 %)
Engineering Design: 0 Credit


Prepared by: Sos Agaian, Ph.D. Date: October 10, 2000

Dr. Sos S. Agaian: 210-458-5939 (Phone) - 210-458-5547 (Fax) - Sos.Agaian@utsa.edu - BSE 1.540

designed by joshua bauer