matlab矩陣處理例程。A matrix processor, Matx_Proc() is developed which can be used
to process and edit matrices and state space models, and perform
various kind of matrix analysis in a visible way.
county, random population coordinates were generated using the complete spatial randomness (CSR) function in S-PLUS. Then, the background information was attached to each individual county based on the county?s distribution for the class of interest. Finally, all counties were merged into a single dataset that describes the whole state
this demo is to show you how to implement a generic SIR (a.k.a. particle, bootstrap, Monte Carlo) filter to estimate the hidden states of a nonlinear, non-Gaussian state space model.
The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an efficient stochastic mixture of Kalman filters. The software also includes efficient state-of-the-art resampling routines. These are generic and suitable for any application.
