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ENGR 425 - Digital Signal Processing |
This course focuses on the sampling and reconstruction of continuous signals via digital systems. The z-transform is used for FIR and IIR filter design. Relation between the z-transform and fourier transform is utilized for further signal analysis. The DFT and FFT are covered, as well as algorithmic implementations and utilization for filter design. Nyquist-Shannon sampling theorem, decimation, and interpolation are also covered. Signal processing filters and algorithms are implemented on CPUs, DSPs, and FPGAs.
Prerequisites: MATH 320 and ENGR 303, each with a C- or higher.
3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture, Study Abroad, Online Fixed Times (Synch), Online (Asynchronous) Physics and Astronomy Department Restrictions: Must be enrolled in one of the following Levels: Undergraduate Graduate Must be enrolled in one of the following Majors: Astronomy Physics Pre-Engineering Prerequisites: Undergraduate level MATH 320 Minimum Grade of C- and Undergraduate level ENGR 303 Minimum Grade of C- |
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