Measure theory and filtering: introduction and applications
Book information
Description
Aimed primarily at those outside of the field of statistics, this book not only provides an accessible introduction to measure theory, stochastic calculus, and stochastic processes, with particular emphasis on martingales and Brownian motion, but develops into an excellent user's guide to filtering. Including exercises for students, it will be a complete resource for engineers, signal processing researchers or anyone with an interest in practical implementation of filtering techniques, in particular, the Kalman filter. Three separate chapters concentrate on applications arising in finance, genetics and population modelling.
Similar books
A Course in Digital Signal Processing. Solutions Manual
Математические основы обработки сигналов. Практикум
Повышение эффективности метода перекрытия с накоплением для вычисления дискретной свертки
DOC
An A-Z of Digital Signal Processing
Adaptive Digital Processing of Multidimensional Signals with Applications
Справочник по устройствам цифровой обработки информации
DJVU