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TSDT14 Signal Theory

Autumn 2009

TSDT14 Signal Theory is a course in signal processing, dealing with both time-continuous and time-discrete signals, that are both deterministic and stochastic. The focus is on stochastic signals. The signal processing systems are usually linear and time-invariant, but we also consider some momentary non-linear systems. One part of the course deals with multi-dimensional processes, where we concentrate on two-dimensional processes. We also consider traditional analog modulation methods and perform noise analysis of them. We are especially interested in transformations between time-continuous and time-discrete signals. A smaller part of the course is estimation of power spectral densities using Fourier methods, where DFT is used. Signal Theory is a basis for further studies in signal processing, e.g. Tele(data)-communication, image processing, automatic control, et. cetera.

This course replaces TSDT06 Signal Theory and was given the first time HT1 2008, with a broader student range which among other things means that the course may be given in English if the participants need that. This is a somewhat larger course compared to the old TSDT06, and the course contents is therefore larger. This enlargement consist of

  • Multidimensional processes
  • Cross correlation and cross spectrum
  • AM and FM - noise analysis

Page responsible: Mikael Olofsson
Last updated: 2017 08 22   12:08