EE432: Digital Signal Processing

Credits: 3-2-4
Description: In this course, digital signal processing principles are studied and applied to one-dimensional data such as voice, music, and biomedical signals.  Analog-to-digital and digital-to-analog conversion are studied in detail. The interrelationships between a system’s difference equation, frequency response, and transfer function are explored. The discrete-time Fourier transform and discrete Fourier transform are introduced, their properties are examined, and the fast Fourier transform algorithm is developed. Properties of finite- and infinite impulse response digital filters are studied. Digital filters are designed and applied to random and deterministic signals.
Prerequisites:  EE 322 or EE 332 or approval of department chair
Course Coordinator: Asst. Prof. Justin A. Blanco (blanco@usna.edu), Maury Room 217, office: x3-6184
 

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United States Naval Academy • Department of Electrical and Computer Engineering
eedept@usna.edu • 410-293-6150