Can I read Fundamentals of Statistical Signal Processing. Volume 2. Detection Theory on EtoBox?

Fundamentals of Statistical Signal Processing. Volume 2. Detection Theory by Steven M. Kay. vol. 2, detection theory is a nonfiction available to read on EtoBox.

What is Fundamentals of Statistical Signal Processing. Volume 2. Detection Theory about?

The most comprehensive overview of signal detection available. This is a thorough, up-to-date introduction to optimizing detection algorithms for implementation on digital computers. It focuses extensively on real-world signal processing applications, including state-of-the-art speech and communications technology as well as traditional sonar/radar systems. Start with a quick review of the fundamental issues associated with mathematical detection, as well as the most important probability density functions and their properties. Next, review Gaussian, Chi-Squared, F, Rayleigh, and Rician PDFs, quadratic forms of Gaussian random variables, asymptotic Gaussian PDFs, and Monte Carlo Performance Evaluations. Three chapters introduce the basics of detection based on simple hypothesis testing, including the Neyman-Pearson Theorem, handling irrelevant data, Bayes Risk, multiple hypothesis testing, and both deterministic and random signals. The author then presents exceptionally detailed coverage of composite hypothesis testing to accommodate unknown signal and noise parameters. These chapters will be especially useful for those building detectors that must work with real, physical data. Ot

Who reads Fundamentals of Statistical Signal Processing. Volume 2. Detection Theory?

Author

Steven M. Kay. vol. 2, detection theory

Publisher

McGraw-Hill Education

Published

2009

Language

EN

ISBN

9780133457117

Category

nonfiction

Subjects

Engineering, Mathematics, Technology