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Course information

Organization

  • Lectures 12*2 h
  • Tutorials 7*2 h
  • Computer exercises (not scheduled, self study)
  • Two mandatory take-home projects,  1 credit unit each (ECTS)
  • Written exam 5 h, 4 credit units (ECTS)

The course language is English.

Literature

  • Lecture notes: Adaptive Signal Processing, Hjalmarsson & Ottersten
  • Collection of Problems in Adaptive Signal Processing
  • Computer Exercises in Adaptive Signal Processing

The above material is available to purchase at STEX, the Student Office, floor 3, Osquldas väg 10 when the course begins.

Instructions for the projects are handed out on the release dates. They will also be available on the course homepage under course materíal.

A collection of formulas for signal processing may be useful "Collection of Formulas in Signal Processing". (This is the same as in our previous courses and can be downloaded under the link: "Course material." )

Course responsible/Lecturer

Magnus Jansson

Email: magnus.jansson at ee.kth.se
Phone: 790 8443
Room: C:432, fourth floor, Osquldas väg 10

Teaching assistant

Nima Najari Moghadam

Email: nimanm@kth.se
Phone: 790 8470
Room: C:438, fourth floor, Osquldas väg 10

Lectures

There are 12 lectures scheduled. Before each lecture we recommend that you read the corresponding pages in the lecture notes. After each lecture we recommend you to look at the corresponding exercises for self study. Please note that very little time is scheduled for problem solving in class (see below). We rather encourage you to try to solve these problems outside class and discuss them with your fellow students. If there still are questions remaining, you are of course welcome to make an appointment with us.

Tutorials/Problem solving sessions

There are seven problem solving seminars scheduled. The problems that will be covered are listed in the schedule.

Computer exercises

An important part of the course is the computer exercises included in the course material. We have not scheduled any specific times for these in the computer labs. However, we strongly encourage you to use the computers to learn the subject matter. Questions are of course welcome. Please come to see us or send an email.

The computer exercises are also extremely useful as a preparation for the project assignments.

Matlab functions and data files that are used are available from the course homepage under "course material."

Project assignments (mandatory)

Two projects in which you will solve "typical" application problems are included in the examination. Instructions are handed out during the course. The release dates and deadlines for reporting are given in the course PM.

Exam

The exam consists of five exercises with a maximum score of 50p. It is graded by A-F. Normally, 23p is required to pass. If you get 21-22p, you will get the FX grade and  be offered the possibility to do complementary examination for the E-grade.See further the old exams at the course material homepage.

Exams are given two times a year (see schedule).

The following are allowed aids on the exam:

  • Lecture notes in adaptive signal processing, Hjalmarsson & Ottersten
  • "Collection of formulas in Signal Processing" KTH EE.
  • BETA Mathematics Handbook
  • Notice that it is NOT allowed to have written notes in the books and that no other material is allowed.

Remember to register two weeks before the exam by using My Pages at KTH.