As to the oscillation of the outputs of the positioning sonar, the linear smoothing method is adopted.
针对定位声纳输出数据的振荡情况，采用了线性平滑方法。
General linear and nonlinear smoothing in an intensity image can blur corners seriously, so its difficult to detect corners by a multi scale approach.
对灰度图进行一般线性和非线性平滑会极大程度地模糊拐角，使得多尺度方法难以用于拐角检测。
A global smoothing method based on polynomial splines is used to estimate the coefficient functions in functional-coefficient linear autoregressive models.
基于多项式样条全局光滑方法，建立函数系数线性自回归模型中系数函数的样条估计。
Finally built a two linear forecasting models based on smoothing of time queue about analysis of sale trend, and verified the design analysis of this paper partly.
最后，建立了基于时间序列的二次指数平滑线性预测模型，进行商品销售趋势的分析，部分验证了本文的设计分析。
In view of the above, this paper USES selective masking smoothing to remove noise and linear gray transform method to solve the problem of gray uneven.
鉴于以上情况，本文选用了选择式掩模滤波对噪声进行去除，用线性灰度变换方法解决了灰度不均匀的问题。
The smoothing and moving method to predict the managers' income in the market is anticipated and analyzed. A linear regression prediction model to study the supply of the manager market is studied.
本文构建了测定职业经理市场供给状况的指标体系，运用指数平滑移动法对市场中职业经理收入进行了预测分析，并利用线性回归预测模型对职业经理市场供给进行了研究；
Several methods which bases on the ideas of spatial smoothing technique are introduced for uniformly linear array.
针对均匀直线阵，介绍了几种基于空间平滑思想的用于解决相干信号源的方法。
Linear regression equation is analyzed by using indirect error-smoothing, and nonlinear regression equation is optimally selected by using the method of comparison of mid-point of curve.
用间接观测平差法分析线性回归方程，用曲线中点比较法选择最优非线性回归方程。
The KKT conditions of a nonlinear programming with linear inequality constrains can be transformed into a system of equations by NCP function. Then it is smoothed by Entropy smoothing function.
带不等式约束的非线性规划，其KKT条件可以通过NCP函数转化为一个非光滑的方程组，然后用熵光滑化函数光滑化，得到一个带参数的方程组。
Data smoothing is a perpetual topic in mathematical statistics. In practice we usually use regression to smooth data, including linear regression and nonlinear regression.
数据拟合是数理统计学中的一个永恒话题，在实际工作中我们最常用的拟合方法是回归分析，其中包括线性回归和非线性回归。
Data smoothing is a perpetual topic in mathematical statistics. In practice we usually use regression to smooth data, including linear regression and nonlinear regression.
数据拟合是数理统计学中的一个永恒话题，在实际工作中我们最常用的拟合方法是回归分析，其中包括线性回归和非线性回归。
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