… to the adaptively robust filters with unified adaptive factor and classified adaptive factors.
The … (7) In practice, we propose to apply the adaptively robust filter with the classified (position …

… adaptively robust filtering with classified adaptive factors is … based on
theprinciplesoftheadaptively filtering and bi—factor … the adaptively robust filtering with classified …

… and forecasting, an adaptively robust filtering (He and Yang … , an adaptively robust filtering
uses a single adaptive factor to … The adaptively robust filtering with classified adaptive factors …

… is not only robust in controlling the measurement outliers and the kinematic state disturbing
… its filtering accuracy is superior to the adaptively robust filter with single adaptive factor based …

… of the adaptively robust filter, the derivation of the corresponding state parameter estimator,
the developments of four adaptive factors for balancing the … and classified adaptive factors. …

… of the already tackled linear filtering and classification problems. We … In order to adaptively
control the plant while keeping the … This factor will increase with each encrypted multiplication, …

… adaptively robust Kalman filter couples an equivalent covariance matrix and an adaptive factor
to … The currently developed classified adaptive robust Kalmam filtering provides us a new …

… classified adaptive factors are proposed to reject outlier in the clock data. Analysis results
indicate: comparing with adaptively … , because of classified adaptive factors, improved about 4.3…

… the optimal adaptive factor. The availability of the proposed classification robust equivalent
… the performance of the improved robust adaptive filtering method is further validated with …

… a result of the fine discretization and other factors such as the method of acquisition (using …
band, the MNF image can still be truncated and filtered adaptively. The value of B would be …