Relevant information loss rate

Bernhard C. Geiger*, Gernot Kubin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


This chapter contains the last generalization of information loss in this work: The generalization of relevant information loss from RVs to stationary stochastic processes. While it is the scenario with the greatest practical importance, it is hard to obtain results for large classes of systems. Therefore, in what follows, only the application of anti-aliasing filtering is considered in Sect. 9.2.

Original languageEnglish
Title of host publicationUnderstanding Complex Systems
PublisherSpringer Verlag Heidelberg
Number of pages10
Publication statusPublished - 1 Jan 2018

Publication series

NameUnderstanding Complex Systems
ISSN (Print)1860-0832
ISSN (Electronic)1860-0840

ASJC Scopus subject areas

  • Software
  • Computational Mechanics
  • Artificial Intelligence


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