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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