Detection of Random Signals in Dependent Gaussian Noise is popular PDF and ePub book, written by Antonio F. Gualtierotti in 2015-12-15, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Detection of Random Signals in Dependent Gaussian Noise can be Read Online from any device for your convenience.
Detection of Random Signals in Dependent Gaussian Noise Book PDF Summary
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.
Detail Book of Detection of Random Signals in Dependent Gaussian Noise PDF
- Author : Antonio F. Gualtierotti
- Release : 15 December 2015
- Publisher : Springer
- ISBN : 9783319223155
- Genre : Mathematics
- Total Page : 1198 pages
- Language : English
- PDF File Size : 13,7 Mb
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