**Catalog Description:** Analytical techniques for Discrete-Time signal,
system, and circuit analysis.

**Goals:** This course provides an introduction to the time and frequency
representation and analysis of discrete-time signals and systems.

**Prerequisites: **

By course: Junior standing in ECE, ECE 351, ENGR 203, MTH 256.

By Topic: Basic properties of signals and systems, continuous time Fourier type transforms and convolution.

**Courses that require this as a prerequisite:** ECE 464/564

**Credits: **3 **Terms Offered:** Winter annually

**Instructors:**

Primary: W. Kolodziej

Secondary: L. Marple

**Textbooks: **

Fundamentals of Signals and Systems, E. W. Kamen and B. S. Heck, Second Edition,
Prentice Hall, 2000, ISBN 0-13-017293-6

**Course Learning Objectives:**

Students are expected to demonstrate the ability to:

- Analyze discrete time signals and systems in the time domain using the impulse response and convolution concepts. Use computers and MATLAB to simulate and analyze signals and systems. (ABET Outcomes a, k)
- Analyze continuous time system responses using the concepts of transfer function representation (includes transient and stability concepts). Perform Laplace and inverse Laplace transforms using the definitions, Tables of Standard Transforms and Properties, and Partial Fraction Expansion. (ABET Outcomes a, m-n)
- Analyze discrete time signals and systems in the frequency domain using the DFT, DTFT and z-transform; Perform Z and inverse Z transforms using the definitions, Tables of Standard Transforms and Properties, and Partial Fraction Expansion. (ABET Outcomes a, m-n)
- Design a digital filter and submit a technical report. (ABET Outcomes a, b, c, k)

**Topics**

- Discrete-Time Fourier Analysis (Chapter 7, 7 lectures)
- The Laplace Transform (Chapter 8.1-8.5, 6 lectures)
- Transfer Function Representation (Chapter 9.1-9.5, 5 lectures)
- The z-Transform (Chapter 11, 7 lectures) Basic concepts in discrete-time filters (Lab Project).

**Computer usage:** Extensive use of MATLAB.

**Structure: **Three 50-minute lectures per week.

Original: 1/01

Revised: 10/01

School of Electrical Engineering and Computer Science, 1148 Kelley Engineering Center |