Zobacz książki o podobnej tematyce

Powiadomienie o dostępności

Więcej informacji o Detection of Random Signals in Dependent Gaussian Noise

• Dane szczegółowe
• Opis
• Ulubione w innej kategorii

Za ten zakup dostaniesz 421 punkty

Opis

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.§§The structure of the book, with the exposition presenting as many details as necessary, was chosen to serve both those readers who are chiefly interested in the results and those who want to learn the material from scratch. Hence, the text will be useful for graduate students and researchers alike in the fields of engineering, mathematics and statistics.

Szczegóły książki

Kategoria Książki po angielsku Mathematics & science Mathematics Calculus & mathematical analysis

• Pełny tytuł: Detection of Random Signals in Dependent Gaussian Noise
• Podtytuł: Reproducing Kernel Hilbert Spaces, Cramér-Hida Representations, Likelihoods
• Autor: Antonio F. Gualtierotti
• Język: Angielski
• Oprawa: Twarda
• Liczba stron: 1176
• EAN: 9783319223148
• ISBN: 3319223143
• ID: 09384027
• Wydawca: Springer International Publishing AG
• Waga: 2370 g
• Wymiary: 170 × 246 × 54 mm
• Data wydania: 15. December 2015

Ulubione w innej kategorii

---

---

---