Bayesian Methods in the Search for MH370
by Samuel Davey, et al.
Publisher: Springer 2016
ISBN-13: 9789811003790
Number of pages: 114
Description:
This book demonstrates how nonlinear/non-Gaussian Bayesian time series estimation methods were used to produce a probability distribution of potential MH370 flight paths. It provides details of how the probabilistic models of aircraft flight dynamics, satellite communication system measurements, environmental effects and radar data were constructed and calibrated. The probability distribution was used to define the search zone in the southern Indian Ocean.
Download or read it online for free here:
Download link
(multiple PDF files)
Similar books
An Exploration of Random Processes for Engineersby Bruce Hajek - University of Illinois at Urbana-Champaign
These notes were written for a graduate course on random processes. Students are assumed to have had a previous course in probability, some familiarity with real analysis and linear algebra, and some familiarity with complex analysis.
(17431 views)
Structure and Interpretation of Signals and Systemsby E. A. Lee, P. Varaiya - Addison Wesley
An introduction to signals and systems for electrical engineering, computer engineering, and computer science students. The material motivates signals and systems through sound and images, as opposed to circuits. Calculus is the only prerequisite.
(16547 views)
The Fundamentals of Signal Analysis- Agilent Technologies
This text is a primer for those who are unfamiliar with the advantages of analysis in the frequency and modal domains and Dynamic Signal Analyzers. The authors avoid the use of rigorous mathematics and instead depend on heuristic arguments.
(15155 views)
Digital Filters and Signal Processingby F.P.G. Marquez, N. Zaman (ed.) - InTech
Digital filters, together with signal processing, are being employed in the new technologies and information systems, and implemented in different areas and applications. This book presents advanced developments, covering different cases studies.
(10694 views)