Discrete time signal and system representation: time domain, z-transform, frequency domain. Sampling theorem. Digital filters: design, response, implementation, computer-aided design. Spectral analysis: the discrete Fourier transform and the FFT. Applications of digital signal processing. Includes: Experiential Learning Activity Prerequisite(s): SYSC 3500 or SYSC 3600 or SYSC 3610. Lectures three hours a week, laboratory three hours alternate weeks. 1500 Courses [0.5 credits]
Discrete time signal and system representation: time domain, z-transform, frequency domain. Sampling theorem. Digital filters: design, response, implementation, computer-aided design. Spectral analysis: the discrete Fourier transform and the FFT. Applications of digital signal processing. Includes: Experiential Learning Activity Prerequisite(s): SYSC 3500 or SYSC 3600 or SYSC 3610. Lectures three hours a week, laboratory three hours alternate weeks. 1500 Courses [0.5 credits]
