EE 278: Introduction to Statistical Signal Processing
Instructor: Himanshu Asnani
Prerequisite: EE178 and linear systems; Fourier transforms at the level of EE102A, EE102B or EE261.
Materials: Review of basic probability and random variables. Random vectors and processes; convergence and limit theorems; IID, independent increment, Markov, and Gaussian random processes; stationary random processes; autocorrelation and power spectral density; mean square error estimation, detection, and linear estimation.
Grading: 30% Homework, 30% Midterm, 40% Final
Midterm: 2016-07-25 at Gates B1, class time.
Final: The final exam will be on 2016-08-12, from 12:15pm to
3:15pm. Venue TBD
Mon, Wed 11:30 AM - 1:20 PM at Gates B1