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.
| Autorius: | D. B. Osteyee, I. J. Good, |
| Serija: | Lecture Notes in Mathematics |
| Leidėjas: | Springer Berlin Heidelberg |
| Išleidimo metai: | 1974 |
| Knygos puslapių skaičius: | 176 |
| ISBN-10: | 3540067264 |
| ISBN-13: | 9783540067269 |
| Formatas: | Knyga minkštu viršeliu |
| Kalba: | Anglų |
| Žanras: | Mathematics |
Parašykite atsiliepimą apie „Information, Weight of Evidence. The Singularity Between Probability Measures and Signal Detection“
