An extended Kalman filter with adaptive gain was used to build a miniature attitude and heading reference system based on stochastic model.
利用改进的自适应增益卡尔曼滤波器在随机模式下建立一个小型姿态确定系统。
The work presented in this thesis aims at creating a systematic and stable method based on stochastic optimization strategy to tackle this problem.
本文旨在应用随机最优化原理，建立求解这一复杂问题的有效的系统工程方法。
An improved haptic texture rendering method based on stochastic resonance is proposed utilizing the stochastic resonance phenomenon in human cutaneous tactile sensation.
根据人的触觉感知通道中的随机共振特性，提出了一种改进的增强纹理力触觉表达建模方法。
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