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估计误差

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An improved derivative estimation algorithm with a low-pass filter that can suppress the influence of high-frequency noise is suggested to remove potential drawbacks of the backward difference that was applied in neural network inversion dynamic compensation method, such as large estimation error in the presence of noise and price increase of hardware realization when high estimation accuracy is required.

针对神经网络逆动态补偿策略中基于向后差分的微分估计算法在噪声环境下存在较大的微分估计误差,且提高估计精度会增加硬件成本等缺陷,提出了改进的微分估计算法,并以加速度传感器为例,设计了动态补偿实验装置,给出了基于改进的微分估计算法的动态补偿算法的实现步骤。

This method combines the information of output tracking error with the parameter estimate error in constructing the adaptation law, which gives a better result in parameter estimation than that from the traditional ARC.

该方法同时采用了输出误差与参数估计误差的相关信息构造自适应律,具有比常规ARC更好的参数估计效果。

The velocity estimated error limit is addressed to reduce the problem caused by it as far as possible.

本文给出了速度估计误差的界限,以便尽量减少速度估计误差引起的问题。

On the basis of direct modelling method by using extended Kalman filter, a new method combining extended Kalman filter with adaptive extended Kalman filter is presented to model gyro drift directly from rotate angle of turntable. Extended Kalman filter has great estimation error, what is more, may be divergent if the model and noise statistic are not accurate or wrong. The new method solves the problem of general extended Kalman filter by using fictious noise with timevarying statistic to compensate the linearized model error of extended Kalman filter. The parameter estimators of single-axis and double-axis servo test are designed from it.

本文深入研究了根据伺服试验数据进行陀螺仪漂移误差模型建模的方法,在应用广义Kalman滤波器直接建模的方法基础上,针对广义Kalman滤波器对于不精确或错误的模型和噪声统计,估计误差较大,甚至滤波发散的缺陷,借助于用带时变噪声统计的虚拟噪声补偿广义Kalman滤波的线性化模型误差的新思想,提出了用广义Kalman滤波和自适应广义Kalman滤波算法相结合的方法由转台的转角数据直接建模陀螺仪漂移误差模型,并设计了陀螺仪单轴伺服和双轴伺服测试时参数估计的滤波器。

Under the condition of point target background, the rotation parameter and precession parameter can be estimated effectively.

参数估计误差的理论分析表明,基于几何特征分析的运动估计不存在算法误差。

Its results show that in order to maintain desired BER performance the fixed estimalion error should be less than 0.07 dB, thd deviation of random estimation error should be less than 0.6, and the time-delay should be controlled within 0.001/v/λ(subscript c.

分析和仿真结果表明,为了维持系统所需的BER性能,固定估计误差值应小于0.07dB,随机估计误差的离差要低于0.6,而时间延迟应控制在0.001/v/λ

The first approach was a qualitative test method, and gave statistical correlation trend. Second and third approaches were quantitative test methods, and indicated the goodness of fitting and the ranges of the residual estimation errors.

拟合相关图法属定性检验,给出了统计相关趋势;回归分析法和残差估计误差指示法为定量检验,给出了模拟计算值与实测值间的拟合优度和残差估计误差的范围。

The upper bound of its parame ter estimation error is analyzed, and the way to choose

投影辨识方法的参数估计误差上界,并给出了使估计误差上界最小的最佳数据窗

The adaptive compensation term of the optimal approximation error and a new robust term are adopted to minify the influence of modeling error and parameter estimation error.

该方案通过引入最优逼近误差的自适应补偿项和新的鲁棒项,削减建模误差和参数估计误差的影响,从而在稳定性分析中取消了要求逼近误差平方可积或逼近误差的上确界已知的条件。

According to the recommended frame structure of IEEE802.16,the independent correlation of multiple preambles and the unique words in data sequence were adopted in the algorithm,and the initial timing offset was estimated.

该算法基于IEEE802.16推荐的帧结构,利用多个前导字的独立互相关特性和数据序列中插入的独特字,对定时误差进行初始估计,并用内插环路进行定时估计误差的跟踪,获得定时同步结果。

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