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Detection of Random Signals in Dependent Gaussian Noise

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The book presents the necessary mathematical basis to obtain and rigorously use likelihoods for detection problems with Gaussian noise. To facilitate comprehension the text is divided into three broad areas – reproducing kernel Hilbert spaces, Cramér-Hida representations and stochastic calculus – for which a somewhat different approach was used than in their usual stand-alone context. One main applicable result of the book involves arriving at a general solution to the canonical detection problem for active sonar in a reverberation-limited environment. Nonetheless, the general problems dealt with in the text also provide a useful framework for discussing other current research areas, such as wavelet decompositions, neural networks, and higher order spectral analysis

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Detail Information

Series Title

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Call Number

516.9

Publisher

Cham : Springer., 2016

Collation

1198 p.

Language

English

ISBN/ISSN

9783319223155

Classification

516.9

Content Type

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Media Type

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Carrier Type

online resource

Edition

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Subject(s)

Gaussian

Specific Detail Info

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Statement of Responsibility

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Other Information

Cataloger

Kurnadi

Source

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