Signal Processing: Continuous and Discrete

This course provides a solid theoretical foundation for the analysis and processing of experimental data, and real-time experimental control methods. Topics covered include spectral analysis, filter design, system identification, and simulation in continuous and discrete-time domains. The emphasis is on practical problems with laboratory exercises. Level: Beginner. Free course materials from MIT OpenCourseWare including lecture notes, assignments, and exams.