1)Unscented Transform无先导变换
1.The starting point of this paper is to make use of the Unscented Transform (UT) and the modeling technique for signal, and a blind equalization algorithm is then proposed.其出发点是利用基于无先导变换,并组合信号建模技术,进而提出一种盲均衡算法。
2.To improve the learning ability of the self-organizing maps,a method is presented,which the learning coefficient and the width of neighborhood function is predicted by linear Kalman fitler and the Kalman filter based on the unscented transform respectively.将线性Kalman滤波器和基于无先导变换的Kalman滤波器分别用于学习率函数和邻域宽度函数的预测,可以提高自组织神经网络的学习能力。
2)priority change优先权变换
3)unscented transformation无迹变换
1.This approach utilizes the advantages of the modified spherical coordinates on bearing-only tracking and the unscented transformation(UT) of second-order approximation of nonlinear systems.利用修正球坐标系和无迹变换(UT)分别在仅测角被动跟踪和获取非线性系统状态二阶矩方面的优势,选择在修正球坐标状态空间内进行Sigma点采样,并利用状态空间转换完成样点矢量非线性预测,最后在修正球坐标空间内完成滤波更新,并给出相应的初始化方法。
2.The theory of UKF based on unscented transformation is applied to underwater target motion analysis.将基于无迹变换的UKF方法运用到水下目标运动分析中,给出了具体步骤,讨论了其目标运动分析问题。
英文短句/例句
1.Probability Hypothesis Density Filter Based on Unscented Transformation and Its Application to Multi-target Tracking基于无迹变换的概率假设密度滤波算法
2.Transform of Sensor Track Data Using Unscented Transformation基于UT变换的传感器航迹数据无偏转换
3.Approaches for Track Initiation Based on 3/4 Logic and Hough Transform基于3/4逻辑的Hough变换航迹起始方法
4.A New Track Initiation Method Based on Hough Transform一种基于Hough变换的航迹起始新方法
5.Track Initiation Algorithm Based on Hough Transform and Clustering基于Hough变换和聚类的航迹起始算法
6.Cannot maintain luminosity when replacement ink is lighter than deleted ink.当替换墨迹比所删除墨迹淡时,则无法保持发光度。
7.fly - by - night fashions in clothing.时装界变换无常的款式
8.An instance of being eccentrically variable or fickle.变换无常反复无常或易变的情况
9.Application of Discrete Cosine Transform to Automatic Identification of Shaft Centerline Orbit离散余弦变换在轴心轨迹自动识别中的应用
10.Handwriting Identification Based on Improved Multi-channel Gabor Wavelet;基于改进的多通道Gabor小波变换的笔迹鉴别
11.Footprint Edge Excation Algorithm Based on Non-tensor Product Wavelet Transform;基于非张量积小波变换的足迹边缘提取算法
12.Two-stage Hough Transform Track Initiation Algorithm Based on Subtractive Clustering基于减法聚类的两级Hough变换航迹起始算法
13.Chinese Handwriting Character Computer Writer Identification Based on Coefficient Transform of Pressure Change基于笔压变换系数的手写汉字笔迹鉴定
14.Multi-ship wakes detection method based on recursive modified Hough transform field基于递归修正Hough变换域的舰船多尾迹检测方法
15.Detection of narrow V ship wakes in SAR images based on radon transform基于Radon变换的星载SAR图像窄V尾迹检测
16.Research of Fast Track Initialization Based on Modified Random Hough Transform基于修正随机HOUGH变换的快速航迹起始研究
17.Detection of SAR Image Ship Wake Based on Hough Transform基于Hough变换的SAR图像舰船尾迹检测方法
18.Trajectory detection by nonuniform quantitative Hough Transform in segmented blocks基于分块的非均匀Hough变换轨迹检测方法
相关短句/例句
priority change优先权变换
3)unscented transformation无迹变换
1.This approach utilizes the advantages of the modified spherical coordinates on bearing-only tracking and the unscented transformation(UT) of second-order approximation of nonlinear systems.利用修正球坐标系和无迹变换(UT)分别在仅测角被动跟踪和获取非线性系统状态二阶矩方面的优势,选择在修正球坐标状态空间内进行Sigma点采样,并利用状态空间转换完成样点矢量非线性预测,最后在修正球坐标空间内完成滤波更新,并给出相应的初始化方法。
2.The theory of UKF based on unscented transformation is applied to underwater target motion analysis.将基于无迹变换的UKF方法运用到水下目标运动分析中,给出了具体步骤,讨论了其目标运动分析问题。
4)unscented transformation无味变换
1.The unscented transformation(UT) and unscented Kalman filtering(UKF) algorithms are then introduced,including their design consideration and specific algorithm.探讨了TMA(目标运动分析)中基本的非线性估计问题,介绍了基于无味变换(Unscented Transform ation-UT)的无味卡尔曼滤波(Unscented Kalm an F iltering-UKF)算法的设计思想与具体实现,特别针对空对海单站只测方位与到达时间TMA(BTO-TMA)问题应用UKF和EKF(扩展卡尔曼滤波)进行了对照研究,建立了问题的离散非线性滤波估计模型,设计了典型的应用场景,给出了初值有偏和无偏两种情形下的Monte Carlo仿真运行结果;表明UKF在该应用背景下是切实可行的,具有更高的估计精度和更强的收敛特性。
2.The unscented transformation(UT) and the unscented Kalman filtering(UKF) are then introduced,including their design considerations and specific algorithms.探讨了目标运动分析(TMA)问题中的递推非线性滤波问题,介绍了基于无味变换(UT)的无味卡尔曼滤波(UKF)的设计思想与具体实现,特别针对空对海单站无源只测向TMA(BO-TMA)问题,建立了问题的离散非线性滤波估计模型,设计了典型的应用场景,并应用UKF和EKF(扩展卡尔曼滤波)分初值无偏和有偏两种情况,从算法的估计值、估计方差、均方根误差(RMSE)和归一化新息平方(NIS)等方面进行了对照研究,给出了Monte Carlo仿真运行结果;表明UKF在该应用背景下是切实可行的,显示出良好的滤波一致性,具有更高的估计精度和更强的收敛特性。
5)Scaleless Transform无级变换
6)conductive transformation传导变换
1.Conductive knowledge based on conductive transformation is a sort of important extension knowledge.基于传导变换的传导知识是一类重要的可拓知识。
延伸阅读
Radon变换和逆Radon变换Radon变换和逆Radon变换 X线物理学术语。CT重建图像成像的主要理论依据之一。1917年澳大利亚数学家Radon首先论证了通过物体某一平面的投影重建物体该平面两维空间分布的公式。他的公式要求获得沿该平面所有可能的直线的全部投影(无限集合)。所获得的投影集称为Radon变换。由Radon变换进行重建图像的操作则称为逆Radon变换。Radon变换和逆Radon变换对CT成像的意义在于,它从数学原理上证实了通过物体某一断层层面“沿直线衰减分布的投影”重建该层面单位体积,即体素的线性衰减系数两维空间分布的可能性。
