Studentische Arbeiten

Titel: On the Capacity of Communication Channels with Memory
  • Forschungsarbeit
Status: abgeschlossen


The capacity of communication channels is the fundamental limit for the transmission of information. It determines how many bits can be reliably transmitted, which means that the receiver is able to decode the information without error. In the landmark paper of Claude E. Shannon, the mathematical model of channel capacity for a communication link was established. From that on, information theory has been extensively investigated and developed. It is useful in many aspects of communications such as source coding, channel coding and multiple access channels.


For the sake of simplicity, many works assume that the communication channel is memoryless, since the computation is much easier. Usually, the transmitted data can be assumed to be independent. After passing through a (multipath) channel, the received sequence is however statistically dependent due to the channel-induced intersymbol interference (ISI). A interesting question is now, how much information can be recovered by observing the received sequence, which is corrupted by ISI?


In this work, the capacity of ISI channels will be investigated and algorithms to compute this shall be implemented.


The tasks of this thesis involve:

  • literature study of capacity of ISI channels
  • implementation of algorithms to compute capacity of ISI channels
  • compute channel capacities for several standardized multipath channels
  • simulation in Matlab


This thesis can be done as Bachelor Thesis.

This thesis can be accomplished in German or English.



  • Knowledge of signal processing
  • basics of information theory



  1. Digital Signal Processing
  2. Information theory
  3. Matlab