Particle Filters for Random Set Models

• Main Author: Ristic, Branko (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York : Imprint: Springer, 2013.
• Subjects: Engineering.; Mathematical statistics.; Artificial intelligence.; Information theory.; Computational intelligence.; Signal, Image and Speech Processing.; Information and Communication, Circuits.; Probability and Statistics in Computer Science.; Artificial Intelligence (incl. Robotics).; Computational Intelligence.

“Particle Filters for Random Set Models” presents coverage of state estimation of stochastic dynamic systems from noisy measurements, specifically sequential Bayesian estimation and nonlinear or stochastic filtering. The class of solutions presented in this book is based  on the Monte Carlo statisti...