EE278: Introduction to Statistical Signal Processing

David Tse, Stanford University, Spring 2017

Overall Contents

Law of large numbers and central limit theorem; random vectors; hypothesis testing and classification; minimum mean square error estimation; Kalman and Wiener filtering; introduction to compressed sensing; Gaussian, Markov processes; stationarity; autocorrelation and power spectral density.

Lectures

  • Tue, Thu 10:30 - 11:50 am at Skilling Auditorium.

Announcements

  • 04/03: Piazza for EE 278 is ready! Please enroll through http://piazza.com/stanford/spring2017/ee278 . Access code: EE278SPR

  • 04/05: The lecture notes for EE 178 Fall 2016-17 are available.

  • 04/05: The TA's lecture notes are available in the Reference page.

  • 04/05: The TA's office hour is at 104 Packard.

  • 04/07: Homework 1 is out in the Homework page.

  • 04/07: GradeScope is ready! Entry code: MV22VM. Course number: EE278. Please submit all the homeworks through GradeScope.

  • 04/07: the discussion session will be held next Monday 4:30-5:20 pm, at Gates b03.

  • 04/09: the material for discussion session 1 is out. See the Sessions page.

  • 04/11: the solution for discussion session 1 is out. See the Sesssions page.

  • 04/15: homework 2 is ready!

  • 04/24: midterm and final information is out!