University of California at Berkeley
Department of Electrical Engineering
and Computer Sciences
Instructor: Professor Kannan
Ramchandran, 269 Cory Hall, kannanr@eecs.berkeley.edu |
Lectures: Tuesday and Thursday,
11:00 - 12:30 pm, 310 Soda |
Office
hours:
Tuesday, 1:00 pm - 2:00 pm, 258 Cory Hall |
GSI: None |
Point
of Contact:
Sameer Pawar, spawar@eecs.berkeley.edu |
Course
Administrative Assistant: Lea Barker, 253 Cory Hall, leab@eecs.berkeley.edu |
Course
website:
http://inst.eecs.berkeley.edu/~ee225a/sp12 |
Description
With signal processing becoming ubiquitous in today's computer literate world, a large number of application areas are growing in importance, both in industry and in the research community, such as signal processing for distributed sensor networks, speech, image and video processing, medical image processing, wavelets and multiresolution signal processing, genomic and biomedical signal processing, financial data signal processing, etc. This course will cover some of the theoretical, algorithmic and practical foundations needed to address this litany of problems and applications in signal processing.
Prerequisite
EE 123, EE 126, and familiarity with linear algebra; or
equivalent; or consent of instructor.
· There will be bi-weekly homework assignments (15% of course grade), Midterm Exam I (40%), and Midterm Exam II (45%).
· Homework’s will be assigned every alternate Thursday and due every alternate Wednesday by 4 p.m. (to Lea Barker in 253 Cory Hall).
· Midterm I will be on March 22, 2012 (6-8 pm).
· Midterm II will be on May 4, 2012 (6-8 pm).
Textbook
Course
Outline
The detailed homework grading and submission policy can be downloaded here. Please familiarize yourself with the homework submission policy and the department policy on academic dishonesty.
The following books may be useful. Those marked Reserved are on reserve at the Kresge Engineering Library.