Kalman filter used in lineardiscretestochasticsystem has good convergence and the ability to remove high frequency noises.
卡尔曼滤波用于线性离散随机系统具有非常好的收敛性和滤除高频噪声的能力。
2
The filtering methods based on information fusion estimation in linear or nonlinear systems was presented for the filtering problem in discrete dynamic stochasticsystem.
针对离散随机动态系统的滤波问题,提出了基于信息融合估计的线性和非线性滤波方法。
3
The unified method of solving LDS(lineardiscretesystem) difference equations of determinate and time varying coefficients as well as stochastic and stochastic time varying coefficients is proposed.