Categories

- Author: Antonio F. Gualtierotti
- Pages: 1176
- Language: English
- ISBN/ASIN: 3319223143
- ISBN13: 9783319223148
- Upload date: 11-09-2015, 12:50
- Category: Mathematics

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, Cramer-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.

- Download Detection of Random Signals in Dependent Gaussian Noise - UseNet cloud
- http://uploaded.net/file/zaxn56zy

* If download links doesn't work. Please write a comment.

Detection of Random Signals in Dependent Gaussian Noise Download via usenet
The State of the Art in Intrusion Prevention and Detection Stochastic Modeling for Medical Image Analysis Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators The Geometry of Random Fields (Wiley Series in Probability and Statistics) Stochastic Processes With Applications (Classics in Applied Mathematics) Stochastic Calculus: Applications in Science and Engineering Stochastic Calculus and Applications, 2nd edition Stochastic Analysis for Gaussian Random Processes and Fields: With Applications (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) Spectral Theory for Random and Nonautonomous Parabolic Equations and Applications (Monographs and Surveys in Pure and Applied Mathematics) Real and Stochastic Analysis: Current Trends Nonlinear Filtering and Smoothing: An Introduction to Martingales, Stochastic Integrals and Estimation (Dover Books on Electrical Engineering) Mathematical Analysis and its Applications: Roorkee, India, December 2014 (Springer Proceedings in Mathematics & Statistics) Linear Stochastic Systems: A Geometric Approach to Modeling, Estimation and Identification (Series in Contemporary Mathematics) Linear Operators in Hilbert Spaces (Graduate Texts in Mathematics) Convex Analysis and Global Optimization (Nonconvex Optimization and Its Applications) Calculus Without Derivatives (Graduate Texts in Mathematics) Advanced Theory of Signal Detection: Weak Signal Detection in Generalized Observations (Signals and Communication Technology) A Primer of Signal Detection Theory Signals, Systems and Inference Random Matrix Methods for Wireless Communications Principles of Signal Detection and Parameter Estimation Detection Radar Sonar: Radar-sonar Signal Processing and Gaussian Signals in Noise Adaptive Antennas and Receivers (Electrical and Computer Engineering) Wavelet Neural Networks: With Applications in Financial Engineering, Chaos, and Classification

Water Diving | Rory Muir Wellington | Theoretical | Essential Epidemiology | Julie Gabriel | Patrick Taylor | Visual Effects | Math Makes Sense | Claster | Shepherding | Game Design Theory | Broken Open | Schadenfreude | Ebert | Jen Turano | Thomas Bredenfeld | Panoramafotografie | Communications Technology | Ict Professional | Johns Hopkins | Zambak | Structural Reliability Theory | Crochet Edges |