Cargando…
Detection of Random Signals in Dependent Gaussian Noise
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 - f...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2015.
|
| Edición: | 1st ed. 2015. |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Prolog
- Part I: Reproducing Kernel Hilbert Spaces
- Part II: Cramér-Hida Representations
- Part III: Likelihoods
- Credits and Comments
- Notation and Terminology
- References
- Index.