Course Abstract Details

ENEE-222, Elements of Discrete Signal Analysis

Credits: 4

Course Description

ENEE-222, Elements of Discrete Signal Analysis, covers the basic tools for signal analysis,
including real and complex sinusoids in both discrete and continuous time, sampling, linear
transformations and orthogonal projections. The discrete Fourier transform (DFT) is developed in detail and an introduction to Fourier series is provided. The course concludes with a discussion of FIR filters whereby key ideas and methodologies in linear time-invariant systems such as convolution (linear and circular), system functions, and frequency-selective filtering are presented. Credit will be granted for only one of the following: ENEE-222 or ENEE-241. Prerequisites: MATH-136 and CIS-132 with minimum "C" grades. Four hours lecture each week. Four credits. Four billable hours.

Learning Goals

The abbreviations in parentheses represent Learning Goals which have been identified for this course and program of study:

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