2.161 Signal Processing: Continuous and Discrete
Provides a solid theoretical foundation for the analysis and processing of experimental data, and real-time experimental control methods. Includes spectral analysis, filter design, system identification, simulation in continuous and discrete-time domains. Emphasis on practical problems with laboratory exercises.
This class has no prerequisites.
2.161 will not be offered this semester. It will be instructed by D. Rowell.
This class counts for a total of 12 credits. This is a graduate-level class.
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