EE 278 Statistical Signal Processing
Instructor: Prof. Tsachy Weissman
Prerequisite: EE178, EE102 or equivalent.
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: 20% Homework, 35% Midterm, 45% Final
Tue, Thu 11:00 AM - 12:15 PM at Thornt102
Please sign up at https://piazza.com/stanford/spring2015/ee278
Homework sets will be posted on the course website. Please submit your homework to the SCPD office via email or fax.