Montreal / Zagreb / New York / Philadelphia / Berlin / /
Company
Neural Networks / Analog Devices / John Wiley & Sons Inc. / Texas Instruments / KRLS / /
Country
Croatia / Russia / United States / Canada / Australia / United Kingdom / /
Currency
USD / / /
Facility
Computer Engineering McGill University / University of Adelaide / University of Cambridge / Moscow Aviation Institute / Rice University / University of London / McGill University / /
IndustryTerm
software design / proposed online function learning approach / nonlinear dynamical systems / low-precision measurement device / form solutions / random dynamic systems / sound solution / signal processing / recursive least squares algorithm / particle filtering algorithms / expectation-maximization algorithm / energy / online constructive sparsification / real-time environments / sensor/actuator networks / sequential approximation algorithms / simultaneous on-line learning / particle filter algorithm / online algorithm / less energy / measurement device / proposed online function learning technique / online estimation / linear systems / precision measurement device / sensor network / statistical signal processing / /
Organization
University of Adelaide / Faculty of Engineering / Rice University / Mark Coates Department of Electrical and Computer Engineering McGill University Montreal / Royal Statistical Society / University of Cambridge / Moscow Aviation Institute / Ryazan State Academy of Radio Engineering / McGill University / Montreal / University of London / /
Person
N. J. Gordon / Mark Coates / Boris Oreshkin / / /
Position
accurate model for the object dynamics and observation mechanism / research associate and lecturer / Dean / Engineer / available model for the object dynamics / observation model for secondary sensors / Assistant Professor / D. J. / /
ProvinceOrState
Texas / Quebec / Pennsylvania / /
PublishedMedium
Journal of the Royal Statistical Society / /
RadioStation
Radio Engineering / /
Technology
ExpectationMaximization algorithm / particle filtering algorithms / sequential approximation algorithms / html / two-step algorithm / particle filter algorithm / proposed algorithm / BACKGROUND Kernel Recursive Least Squares Nonlinear State-Space Model The Kernel Recursive Least Squares algorithm / expectation-maximization algorithm / 3 4 Algorithm / Simulation / DSP / recursive least squares algorithm / /
Bootstrapping Particle Filters using Kernel Recursive Least Squares Boris Oreshkin and Mark Coates Department of Electrical and Computer Engineering McGill University Montreal, QC, Canada