Detection of Random Signals in Dependent Gaussian Noise

Antonio F. Gualtierotti ()
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Antonio F. Gualtierotti: University of Lausanne, HEC and IDHEAP

in Springer Books from Springer

Date: 2015
ISBN: 978-3-319-22315-5
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Chapters in this book:

Ch Chapter 1 Reproducing Kernel Hilbert Spaces: The Rudiments

Antonio F. Gualtierotti

Ch Chapter 10 Bench and Tools

Antonio F. Gualtierotti

Ch Chapter 11 Calculus for Cramér-Hida Processes

Antonio F. Gualtierotti

Ch Chapter 12 Sample Spaces

Antonio F. Gualtierotti

Ch Chapter 13 Likelihoods for Signal Plus “White Noise” Versus “White Noise”

Antonio F. Gualtierotti

Ch Chapter 14 Scope of the Signal Plus “White Noise” Model (I)

Antonio F. Gualtierotti

Ch Chapter 15 Scope of the Signal Plus “White Noise” Model (II)

Antonio F. Gualtierotti

Ch Chapter 16 Scope of Signal Plus “White Noise” Model (III)

Antonio F. Gualtierotti

Ch Chapter 17 Likelihoods for Signal Plus Gaussian Noise Versus Gaussian Noise

Antonio F. Gualtierotti

Ch Chapter 2 The Functions of a Reproducing Kernel Hilbert Space

Antonio F. Gualtierotti

Ch Chapter 3 Relations Between Reproducing Kernel Hilbert Spaces

Antonio F. Gualtierotti

Ch Chapter 4 Reproducing Kernel Hilbert Spaces and Paths of Stochastic Processes

Antonio F. Gualtierotti

Ch Chapter 5 Reproducing Kernel Hilbert Spaces and Discrimination

Antonio F. Gualtierotti

Ch Chapter 6 Cramér-Hida Representations from “First Principles”

Antonio F. Gualtierotti

Ch Chapter 7 Cramér-Hida Representations via Direct Integrals

Antonio F. Gualtierotti

Ch Chapter 8 Some Facts About Multiplicity

Antonio F. Gualtierotti

Ch Chapter 9 Cramér-Hida Representations via the Prediction Process

Antonio F. Gualtierotti

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DOI: 10.1007/978-3-319-22315-5

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