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Catalog : ETEC.4270 Digital Signal Processing (Formerly 17.427)

ETEC.4270 Digital Signal Processing (Formerly 17.427)

Id: 003460 Credits: 3-3

Description

This course covers the basic theory of digital signal processing. Sampling theory, discrete time signals and systems, and transform methods - Z transform and Fourier series and transforms - are discussed in detail. Computational techniques, such as the Fast Fourier Transform are discussed. The basic concepts of digital filter design are described.

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Course prerequisites/corequisites are determined by the faculty and approved by the curriculum committees. Students are required to fulfill these requirements prior to enrollment. For courses offered through online or GPS delivery, students are responsible for confirming with the instructor or department that all enrollment requirements have been satisfied before registering.