Signal Processing: Continuous and Discrete
MIT OpenCourseWare offers this graduate-level course on analyzing and processing experimental data and building real-time experimental control systems. Topics include spectral analysis, filter design, system identification, and simulation across both continuous and discrete-time domains. The course emphasizes practical problems, working through laboratory exercises that connect the theory to real measurement and control tasks. Materials include lecture notes and assignments from the MIT OpenCourseWare site, free to access with no enrollment or certificate. It suits students with a background in signals, systems, or mechanical engineering who want grounding in the mathematics behind digital and analog signal processing and its use in instrumentation and control.