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.
Equivalent Quarter Course: CS 6752.
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.