EE262 - Introduction to Statistical Signal Processing

Winter 2007

Instructor:

Peyman Milanfar

Office:

243A, E2 building

Phone:

(831) 459-4929

email:

milanfar AT ee DOT ucsc DOT edu

Lecture:

T, Th 12:00 to 1:45, Porter Acad 246

Office Hours:

T, Th 2-3 PM

Text:

Fundamentals of Statistical Signal Processing: Vols. 1, 2: Detection and Estimation, by Steven M. Kay

Reference Texts:

Statistical Signal Processing by Louis Scharf

Decision and Estimation Theory by Melsa and Cohn

Grading Policy:

Homeworks 25%, Midterm 30%, Final 45%

Notes:

Some Homework exercises will require the use of the software package MATLAB. Here is a primer.

 

 

Important Dates:

First day of class

Thursday, January 4

Last day of class

Thursday, March 15

Midterm exam

Tuesday, February 13

Final Exam

Wednesday, March 21, 8-11 AM

 

Course Announcements and Handouts

 

 

Lecture Notes

 

Tentative Syllabus and Reading:

  

Academic Dishonesty and Cheating:

Any confirmed academic dishonesty including but not limited to copying homeworks or cheating on exams, will result in a no-pass or failing grade. You are encouraged to read the campus policies regarding academic integrity. Examples of cheating include (but are not limited to):

  • Copying / turning in homework solutions from previous years.
  • Sharing or copying results or other information during an examination.
  • Working on an exam before or after the official time allowed.
  • Submitting homework or exam that is not your own work.
  • Reading another student's homework solution before it is due.
  • Allowing someone else to read your work solution before the assignment is due.

If there is any question as to whether a given action might be construed as cheating, see me before you engage in any such action.