Description: 包括kf，ekf，pf，upf可以自己定制模型参数，完成滤波-ReBEL currently contains most of the following functional units which can be used for state-, parameter- and joint-estimation:
Kalman filter
Extended Kalman filter
Sigma-Point Kalman filters (SPKF)
Unscented Kalman filter (UKF)
Central difference Kalman filter (CDKF)
Square-root SPKFs
Gaussian mixture SPKFs
Iterated SPKF
SPKF smoothers
Particle filters
Generic SIR particle filter
Gaussian sum particle filter
Sigma-point particle filter
Gaussian mixture sigma-point particle filter
Rao-Blackwellized particle filters
The italicized algorithms above are not fully functional yet (or included in the current release), but will be in the next or future releases. The code is designed to be as general, modular and extensible as possible, while at the same time trying to be as computationally efficient as possible. It has been tested with Matlab 7.2 (R2006a).
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Size: 1608704 |
Author:zhangsimin |
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Description: 国外的迭代非线性滤波，比UKF更为实用，以往对大家有帮助-the The Iterated Sigma Point Kalman Filter，is more efficient than UKF Platform: |
Size: 342016 |
Author:吴旭 |
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