By the end of the course, you will learn concepts, principles, analysisand designs of deterministic signals transmitting and processing through linear time-invariant systems. You will also learn ways to analyze signals and systems from various perspectives such as time domain versustransform domain,continuoussignalsversusdiscretesignals. This course will emphasize on how to represent and describesignals and systems, and will provide in-depthunderstanding of properties and applications of Fourier transform, Laplace transform, z-transform and filter design. When completing the course, youwill obtain knowledge of analytical theories of signals and systems in both time and frequency domains, and of analyzing system functionsand theirapplicationsonfilter design. All of which will lay solid foundation for futurecourses. This course is a major prerequisite to entrance tests for graduate study.
Overview
MIT Sloan: Drive Business Value with AI
6-week cohort with live MIT Faculty sessions. Learn to scale AI beyond the pilot stage.
Build Your AI Strategy
Taught by
Qin Gong