The exponential filter parameter is discussed.
分析了指数滤波参数对相关结果的影响。
参考来源 - 多目标识别的联合变换相关器的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
理论分析和实验结果表明，自适应指数滤波器的性能优于高斯滤波器。
The performance of this filter is compared with Gaussian filter theoretically and experimentally. It is shown that the performance of this filter is superior to Gaussian filter.
文中分析了三种抑制噪声的方法，相关双采样法、双斜积分法、开关指数滤波法。
Signal processing schemes described in this paper are double correlated sampling, dual slope integration and switched exponential filtering.
以指数趋势模型为基础，建立卡尔曼滤波模型对链子崖危岩体ga监测点的位移量进行预测。
Based on the exponential trend model, the Kalman filter model is applied to forecasting displacement values at observation point in Lianziya hazardous rock mass GA.
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