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 or CMSC 140 . COREQUISITE(S): MATH 182 or higher. Three hours lecture, two hours laboratory each week.
4 semester hours
Upon course completion, a student will be able to:
- Utilize basic linear algebra tools for practical modeling of signals and systems modeling.
- Explain 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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