Signal Theory

Log in to your course web

You are not logged in KTH, so we cannot customize the content.

Important information regarding COVID-19: The implementation of the course has been revised and will adapt recent developments to meet the legal requirements and recommendations, in particular to ensure the health of its participants. To this end we split class into two groups so that distance can be kept. 

  • Group A: Only students of the master program Information Networking and Engineering (TINNM) starting 2020
  • Group B: All other students, including exchange students, double degree students, EIT students, TINNM students that started 2019 or earlier, etc.

Lectures will be given twice and two tutorials will be given in parallel. Students should not switch groups! Course information will be given in the first lecture. 

  • First lecture for group A: Mo, Aug 24, 15:15-16:45, room L51
  • First lecture for group B: Mo, Aug 24, 13:15-14:45, room L51

Second lecture will be a reflection on the first online lecture. which is a recapitulation on the basics of probability theory. The second lecture for group A is on Wed, Aug 26, 10:15-11:45 and for group B on Tue, Aug 25, 10:15-11:45. 

Course material (textbook, problem collection, formula collection) can be purchased at THS Kårbokhandeln. 

*****************************************************************************************

From autumn 2017, the course page can be found on Canvas (link) 

*****************************************************************************************

Welcome to the course page of the course Signal Theory, EQ1220.

The aim of the course is to give fundamental knowledge about continuous and discrete time stochastic processes, as well as give a working knowledge in linear filtering of stochastic signals.

After the course students should be able to

  • analyze given problems in filtering, estimation, sampling and reconstruction of weakly stationary processes.

  • apply mathematical modeling tools to problems in electrical engineering.

  • develop and use simple software codes using, e.g., Matlab, to simulate and analyze problems. Report the methodology and results.

  • formulate and/or use mathematical model to solve a given technical problem, analyze the result and its validity.

Teachers

Feedback News