2021 Fall
EECS 225A 001 - LEC 001
Formerly Electrical Engineering 225A
Statistical Signal Processing
Jiantao Jiao
Class #:28893
Units: 3
Instruction Mode:
In-Person Instruction
Offered through
Electrical Engineering and Computer Sciences
Current Enrollment
Total Open Seats:
16
Enrolled: 14
Waitlisted: 0
Capacity: 30
Waitlist Max: 8
Open Reserved Seats:
25 reserved for Students not in the Master of Engineering Program
Hours & Workload
3 hours of instructor presentation of course materials per week, and 6 hours of outside work hours per week.
Other classes by Jiantao Jiao
Course Catalog Description
This course connects classical statistical signal processing (Hilbert space filtering theory by Wiener and Kolmogorov, state space model, signal representation, detection and estimation, adaptive filtering) with modern statistical and machine learning theory and applications. It focuses on concrete algorithms and combines principled theoretical thinking with real applications.
Class Notes
Rules & Requirements
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
Open Reserved Seats:
25 reserved for Students not in the Master of Engineering Program
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials
Associated Sections
None