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.
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；
Moreover, the error due to Gaussian approximation becomes significant only for systems with low number of pulses per information bit.
对于每个信息比特有较少的脉冲的系统来说，类高斯噪声所产生的错误就变得非常重要。
By ensemble average method, the concentration distribution and error threshold of quasispecies on single peak Gaussian distributed fitness landscapes were evaluated.
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。
Experimental results indicate that the Bit Error Rate (BER) of soft-decision detection femains lower than that of hard-decision detection, even 0.169 lower in gaussian noises.
实验结果表明，软判决检测的比特错误率普遍低于硬判决检测的比特错误率，在高斯噪声情况下，甚至能低0.169。
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.
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；
Condition number of matrix is a main root to result in large error in solution during the running of Gaussian algorithm.
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。
One-dimensional minimum error thresholding method assumed that the histogram distributions of object and background are governed by a mixture Gaussian distribution.
一维最小误差阈值法假设了目标和背景的灰度分布服从混合正态分布。
In moving base transfer alignment under nonlinear and non-Gaussian situation, using Kalman Filtering could cause large error or even divergence.
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。
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。
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.
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。
Therefore, least absolute deviation, which is more robust than least squares especially for Gaussian noise, is selected to reduce the random error.
绝对偏差最小法是一种适合于存在离群点时的稳健估计算法，可以克服最小二乘法仅在误差为正态分布时才有效的缺点。
Secondly, on the assumption that the phase error on the aperture led by the random surface error obeys the Gaussian distribution with zero mean, the expression of the average power pattern is deduced.
然后在设定由随机表面误差引入的口径相位误差服从均值为零的正态分布的条件下，推导了天线平均功率方向图的计算公式。
Based on moment space theory and Gaussian approximation method, expressions of average error probability for system with multiple-access interference and white Gaussian noise environment are derived.
采用矩空间理论和高斯近似法分别得出该系统在多址干扰和白高斯噪声条件下的平均误码率表达式。
In Gaussian noise channel and power line channel, this emulational system calculate out relationship between bit error rates and signal to noise ratios.
以高斯噪声信道和电力线信道为例，用本仿真系统分别计算出了无差错控制编码和有差错控制编码情况下误码率与信噪比的关系。
And the weight of each filter is updated using Bayes theory based on the assumption that the difference between estimate and measurement bearings obeys Gaussian distributions with zero mean error.
通过假设预测方位和实测方位差值服从零均值的高斯分布，利用贝叶斯理论来修正各滤波器的权重。
We simulated the system in the Additive Gaussian White Noise (AGWN) channel, proved the superiority of this system, and used the convolutional codes to reduce the bit error rate further.
通过在加性高斯白噪声(AGWN)信道中的模拟仿真，其结果说明了此系统的优越性，并通过卷积编码，进一步降低了系统的误码率。
We simulated the system in the Additive Gaussian White Noise (AGWN) channel, proved the superiority of this system, and used the convolutional codes to reduce the bit error rate further.
通过在加性高斯白噪声(AGWN)信道中的模拟仿真，其结果说明了此系统的优越性，并通过卷积编码，进一步降低了系统的误码率。
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