EE 278: Introduction to Statistical Signal Processing

Instructor: Himanshu Asnani
Course Assistant: Pin Pin Tea-mangkornpan
Contact: asnani, pinnaree at stanford

Course Information

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

Exams

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

Lectures

Mon, Wed 11:30 AM - 1:20 PM at Gates B1

Review session:
Fri 10:30 - 11:20 AM at Gates B1

Office hours:
Himanshu Asnani, by appointment
Pin Pin Tea-mangkornpan, Tuesdays 2-4 pm at Packard 104