1) seakindly form
耐波性优异的线型
2) linearized absolutely dominated model
线性化的绝对优势模型
1.
To simplify computing, authors approximate their absolutely dominated model to linearized absolutely dominated model and solve this programming by software.
为了简化计算,将其近似为线性规划即线性化的绝对优势模型,并应用软件解这个规划。
3) optimum linear filtering
最优线性滤波
1.
The 2nd order approximation of measurement noise in optimum linear filtering with coordinate conversion;
坐标变换最优线性滤波中测量噪声的二阶近似方法
4) Optimum Nonlinear Filtering
最优非线性滤波
1.
On Optimum Nonlinear Filtering via ANNs;
最优非线性滤波的神经网络实现研究
5) linear optimal filter
线性最优滤波
1.
A linear optimal filter is proposed based on the minimum mean square error(MMSE) criterion to solve the problem that the commonly used Lee and Kuan filters for synthetic aperture radar(SAR) images have bigger filtering errors.
针对常用于合成孔径雷达(SAR)图像降噪的Lee滤波和Kuan滤波误差较大的问题,提出了基于最小均方误差(MMSE)准则的线性最优滤波。
6) optimal linear regression wavelet model
最优化线性回归小波模型
1.
Based on R?S statistic, variance-time plots and periodogram-based analysis methods, an optimal linear regression wavelet model is proposed to perform the accurate, quick and effective estimation of the Hurst parameter in wavelet field.
Hurst参数是衡量网络流量自相似程度和突发性的重要参数,在时域R/S统计、方差-时间图法和频域周期图法的基础上,提出一种最优化线性回归小波模型,实现小波域内Hurst参数的准确有效快速辨识。
补充资料：绝对优势
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条