ENEE 222 - Elements of Discrete Signal Analysis

Introduction to discrete-time and continuous-time signals. Topics covered include sampling, linear transformations, discrete Fourier Transform and its properties/applications, Fourier Series, and discrete-time linear filters and their applications. Example problems in the context of electrical engineering applications are solved using a variety of software tools, including structured programming and high-level computational packages such as Matlab. PREREQUISITE(S): ENEE 140 . COREQUISITE(S): MATH 182 or higher. Three hours lecture, two hours laboratory each week. Formerly EE 222.

4 semester hours

Course Outcomes:
Upon course completion, a student will be able to:

Utilize basic linear algebra tools for practical modeling of signals and systems modeling.
Demonstrate understanding of important concepts, such as fourier series/transforms, used in frequency analysis of discrete-time signals.
Demonstrate a basic knowledge of digital filters and their implementation in signal processing.
Program effectively in MATLAB.

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