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Information, Weight of Evidence, the Singularity between Probability Measures and Signal Detection [electronic resource] / by David Bridston Osteyee, Irving John Good.

By: Contributor(s): Material type: TextTextSeries: Lecture Notes in Mathematics ; 376Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1974Description: XIV, 162 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540382942
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 510 23
LOC classification:
  • QA1-939
Online resources:
Contents:
List of symbols -- Information in events and weight of evidence -- Entropy -- Singularity between two probability measures -- Expected mutual information -- Expected weight of evidence -- Divergence -- Expected mutual information, expected weight of evidence, and divergence for random processes -- Relationships between certain random processes and the singularity between probability measures -- Other expressions for expected mutual information -- Expressing expected weight of evidence for gaussian generalized processes in terms of integral operators -- Comparison between I(RT:ST), WT(HN/HS+N), and JT(N, S+N) for gaussian signals and noise -- Expected mutual information rate -- Rate of expected weight of evidence -- Gaussian processes with equal covariance functions including nonrandom signals in gaussian noise -- Summary of the major results in this survey for gaussian processes, including gaussian signals and noise -- Conclusions and areas for additional research.
In: Springer eBooks
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List of symbols -- Information in events and weight of evidence -- Entropy -- Singularity between two probability measures -- Expected mutual information -- Expected weight of evidence -- Divergence -- Expected mutual information, expected weight of evidence, and divergence for random processes -- Relationships between certain random processes and the singularity between probability measures -- Other expressions for expected mutual information -- Expressing expected weight of evidence for gaussian generalized processes in terms of integral operators -- Comparison between I(RT:ST), WT(HN/HS+N), and JT(N, S+N) for gaussian signals and noise -- Expected mutual information rate -- Rate of expected weight of evidence -- Gaussian processes with equal covariance functions including nonrandom signals in gaussian noise -- Summary of the major results in this survey for gaussian processes, including gaussian signals and noise -- Conclusions and areas for additional research.

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