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


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, Tuesday 6:30-8:30pm at Packard 106

Piazza forum

Please sign up at

SCPD students

Homework sets will be posted on the course website. Please submit your homework to the SCPD office via email or fax.
The CA will be answering questions primarily via piazza forum (link given above) or email. We will also use Stanford Blue Jeans conference system to set up discussions by email appointment.