This course is an introduction to discrete-time signal processing and system identification. Major topics include the z-transform, infinite/finite impulse response filters, discrete/fast Fourier transform, models of linear time-invariant systems, and parameter estimation methods.
Prerequisite: ENGR 312 with a minimum grade of C-; Restricted to Applied Math and Engineering majors.
Outcomes: Reinforce fundamental knowledge of signal processing concepts; Execute discrete-time signal processing techniques; Solve real-world problems through use of modeling, prediction, and estimation methods.
Prerequisite: ENGR 312 with a minimum grade of C-; Restricted to Applied Math and Engineering majors.
Outcomes: Reinforce fundamental knowledge of signal processing concepts; Execute discrete-time signal processing techniques; Solve real-world problems through use of modeling, prediction, and estimation methods.