Detection of anomalous noise for continuous and discrete observation channels with memory

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Abstract

The problem of detecting anomalous noise in the case of a set of continuous and discrete observations with memory is considered. The potential properties of the algorithm relative to the probabilities of errors of omission or of false detection are investigated on the basis of the Kullback divergence. In one special case the efficiency with which anomalous noise is detected in a channel with memory relative to a channel without memory is investigated.

Original languageEnglish
Pages (from-to)58-69
Number of pages12
JournalAutomatic Control and Computer Sciences
Volume37
Issue number5
Publication statusPublished - 26 Aug 2004

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ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Signal Processing

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