Detailed Course Information |
Fall 2023
May 17, 2025 |
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| CMPE 476 - Digital Signal Processing |
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Overview of continuous and discrete signal processing with hands-on algorithmic implementation of various signal transforms and other operators for generalized applications. Analog to digital conversion methods; sampling theory, discrete Fourier transform, fast Fourier transform, z-transforms; signal sampling and reconstruction; digital filters, correlation, spectral estimation. The laboratory provides practical experience in the implementation of digital signal processing algorithms using standard kits.
0.000 TO 4.000 Credit hours 0.000 TO 3.000 Lecture hours 0.000 TO 3.000 Lab hours Syllabus Available Levels: Undergraduate Schedule Types: Lab, Lecture Computer Science & Engineering Department Course Attributes: Engineering Course (TUI) Restrictions: Must be enrolled in one of the following Levels: Undergraduate Prerequisites: Undergraduate level ELEC 351 Minimum Grade of D |
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