利用系综平均的方法，计算了在单峰高斯分布适应面上准物种的浓度分布和误差阈。
By ensemble average method, the concentration distribution and error threshold of quasispecies on single peak Gaussian distributed fitness landscapes were evaluated.
用高斯-牛顿误差最小法将六维观测量转化为四元数，作为观测量的一部分，显著减少了直接使用EKF的计算量。
Gauss-Newton error minimization is used to transform six-dimentional reference vector to quaternion as a part of observations for EKF, which significantly reduces the computational requirement.
光强高斯分布对散焦相差的曲率信号影响较大，信号百分比误差达到25%，对其他相差的曲率信号影响很小；
Intensity of Gaussian distribution impacts significantly the sensing signal of the defocus phase, in which the error percentage achieves 25%, but for other phase profile, the effect is ignorable.
它在超导磁场下有较高灵敏度、重复性、低线性误差，所以可以用于测量高磁场和作为低温高斯计的探头。
It may be used for the measurement of high magneticfields and be used as a probe for Gauss meter in low Temperature.
在运行高斯算法求解线性系统过程中，矩阵条件数是导致求解误差偏大的一个因素。
Condition number of matrix is a main root to result in large error in solution during the running of Gaussian algorithm.
首先，为了去除测量产生的噪声和误差，引入高斯核函数为每个采样点加权；
To filter out the noise and error arising out of various physical measurement processes and limitations of the acquisition technology, a Gaussian weight is assigned to each point acquired.
在非线性、非高斯条件下进行动基座传递对准，如果采用卡尔曼滤波会出现误差较大甚至发散的问题。
In moving base transfer alignment under nonlinear and non-Gaussian situation, using Kalman Filtering could cause large error or even divergence.
在此基础上，建立了最小方差损失函数，并结合高斯·牛顿预测误差方法，提出了稳定的，高性能的，在线的复频率直接估计算法。
A cost function is presented, and by applying Gaussian-Newton type recursive prediction error based method, a stable and efficient online frequency estimation algorithm is derived.
实际星地光通信系统的发射光束为高斯型的情况下，跟瞄误差和大气闪烁是星地激光链路中的主要信道噪声源。
The transmitter beam is Gaussian for real satellite-ground laser communication system. The pointing jitter and atmospheric scintillation are the main noise sources for satellite-ground laser link.
当高斯假设所引起的误差不能接受时，就必须考虑非高斯噪声模型，并设计更加合理的处理系统。
When the error involved by Gaussian assumption cannot be tolerated, more accurate noise models and reasonable processing systems have to be considered to avoid significant performance degradation.
当高斯假设所引起的误差不能接受时，就必须考虑非高斯噪声模型，并设计更加合理的处理系统。
When the error involved by Gaussian assumption cannot be tolerated, more accurate noise models and reasonable processing systems have to be considered to avoid significant performance degradation.
应用推荐