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Aug 26, 2024
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CS 681 - Digital Signal Processing Units: 3 Digital Signal Processing techniques and applications. Topics may include: Discrete Time Signals and Systems, Discrete Time Networks, Input-Output Relationships, Discrete Time Fourier Transform, Discrete Fourier Transform, IIR and FIR filter design, Power Spectrum Computation. Programming projects and review of literature.
Prerequisites: CS 401 or CS 601. Credit Restrictions: Computer Science M.S. or B.S. students only.
Possible Instructional Methods: Entirely On-ground. Grading: A-F grading only. Student Learning Outcomes - Upon successful completion of this course students will be able to: - Design and conduct experiments, as well as analyze and interpret data.
- Design FIR and IIR filters by hand to meet specific magnitude and phase requirements.
- Interpret magnitude and phase of LTI system frequency response.
- Demonstrate Z and inverse Z using tables, Partial Fraction Expansion, and power series expansion.
- Use computers and MATLAB to create, analyze and process signals, and to simulate and analyze systems sound and image synthesis and analysis.
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