自适应卡尔曼滤波法为不经分离直接测定相互干扰的多组分体系分析提供了一种新的途径。
Adaptive Kalman filter may provide a new approach to determine the concentrations from overlapped spectral data without any prilim…
自适应卡尔曼滤波法为不经分离直接测定相互干扰的多组分体系分析提供了一种新的途径。
The results of adaptive Kalman filter were better than those of original Kalman filter. Adaptive Kalman filter may provide a new approach to determine the concentra…
以平均值平滑滤波法和质心法实现了对信标光斑定位，利用卡尔曼预测算法实现了具有自适应能力的递归跟踪算法。
Using smoothing filter and average-force algorithm to position beacon's facula, then use kalman prediction algorithm with the adaptive capacity to achieve the recursive tracking algorithm.
以平均值平滑滤波法和质心法实现了对信标光斑定位，利用卡尔曼预测算法实现了具有自适应能力的递归跟踪算法。
Using smoothing filter and average-force algorithm to position beacon's facula, then use kalman prediction algorithm with the adaptive capacity to achieve the recursive tracking algorithm.
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