- Schedule of Classes - December 15, 2017 7:14PM EST
- Course Catalog - December 15, 2017 7:15PM EST
Course information provided by the Courses of Study 2017-2018.
Core ECE course covering basics of signal processing and data analysis. The first half of the course covers fundamentals of signals and systems, including the discrete Fourier transform, transfer functions, frequency selective filtering, adaptive filtering, linear prediction, and applications in noise cancellation and communication systems. The second half covers the basics of probabilistic models, stochastic simulation, Markov processes and Bayesian inference. Finally, topics in high dimensional signal processing including model selection, sparse signal processing and principal component analysis are covered. Throughout the course, applications in communication systems, sensing systems and machine learning will be emphasized.
When Offered Fall.Outcomes
- Students will learn state of the art methods in modern statistical signal processing backed up with applications in communication and sensing systems.
Credits and Grading Basis
3 Credits Opt NoAud(Letter or S/U grades (no audit))
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