Bayesian Methods in the Search for MH370
by Samuel Davey, et al.
Publisher: Springer 2016
Number of pages: 114
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.
Home page url
Download or read it online for free here:
(multiple PDF files)
by Sebastian Miron - InTech
The exponential development of computer power over the last few decades, transformed signal processing in an essential tool for a wide range of domains such as telecommunications. This book provides highlights of the current research in the area.
by John C. Nash - Marcel Dekker Inc
This book and software collection is intended to help scientists, engineers and statisticians in their work. We have collected various software tools for nonlinear parameter estimation, along with representative example problems.
by G. Nikolic, M. Cakic, D. Cvetkovic (eds) - InTech
The book provides a review on recent advances in Fourier transforms as the most powerful analytical tool for applications in electronic and computer engineering, as well as spectral techniques with a wide range of nanotechnological applications.
by Sophocles J. Orfanidis - Prentice Hall
An applications-oriented introduction to digital signal processing. The author covers all the basic DSP concepts, such as sampling, DFT/FFT algorithms, etc. The book emphasizes the algorithmic, computational, and programming aspects of DSP.