EE 278 Statistical Signal Processing

Instructor: Prof. Tsachy Weissman
Course Assistant: Zi Yin
Contact: tsachy, zyin at stanford

Course Information

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

Lectures

Tue, Thu 11:00 AM - 12:15 PM at Thornt102
Midterm: Wednesday May 6th, 6:30-8:30pm
Final: TBA

Office Hour:
Prof. Weissman, Thursday 2-4pm at Packard 256
Review and Q&A Session:
Zi Yin, Friday 9-11am at Packard 106