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1)  Fusion measure
融合测度
2)  detection fusion
检测融合
1.
The decision fusion algorithm for M-ary hypothesis testing with distributed parallel detection fusion system is considered.
研究分布式并行检测融合系统的M元假设检验融合算法。
3)  fusion detection
融合检测
1.
Technique of resolution matching processing for the fusion detection with narrow-band radars;
多雷达融合检测中的分辨率匹配处理技术
2.
Driving fatigue fusion detection based on T-S fuzzy neural network evolved by subtractive clustering and particle swarm optimization
减法聚类和粒子群优化TS模糊神经网络的驾驶疲劳融合检测(英文)
3.
Traditional fusion detection methods are commonly using.
目前的目标融合检测方法大都是基于多源遥感图像配准的,然而在实际的应用中,成像机理不同的多源遥感图像的精校正和图像间的配准是十分复杂的,难以确保其配准精度。
4)  Measurement fusion
量测融合
1.
To resolve the problem,a measurement fusion algorithm for uncertain measurement was presented.
为了解决多传感器环境下各传感器观测的有效性具有时变不确定性时,难以恰当地构造系统观测向量与观测矩阵的困难,提出一种不确定性观测向量的量测融合算法。
2.
Currently there exist several asynchronous measurement fusion algorithms,namely,firstly strict synchronizing sensors asynchronous data and deal with them with parallel or pseudo-sequential filter.
归纳几种多传感器异步量测融合算法,即首先将各传感器异步数据统一到同一时刻,再对该数据进行并行或伪序贯滤波处理。
5)  measurement fusion
观测融合
1.
Currently there exist two commonly used measurement fusion methods for kalman-filter-based multi-sensor data fusion.
目前有两种基于K a lm an滤波的多传感器观测融合方法,方法1是将观测向量的维数增加,获得扩展观测向量。
2.
For the multisensor systems with correlated measurement noises and different measurement matrices,two correlated measurement fusion steady-state Kalman filtering algorithms are presented by using the weighted least squares (WLS)method.
对于带相关观测噪声和带不同观测阵的多传感器系统,用加权最小二乘(Weighted least squares,WLS)法提出了两种相关观测融合稳态Kalman滤波算法。
3.
Based on Kalman filtering algorithm and by using the weighted least squares(WLS) measurement fusion method,that the datum measured by multisensors are weighted optimally is put forward,then the fused datum are filtered and brought back to the input endian,so that the accuracy of PID controlling is improved.
本文基于Kalman滤波算法,应用加权最小二乘(WLS)观测融合方法,提出了对多个传感器所检测的数据进行最优加权,进而将融合后的数据经滤波后反馈到输入端,提高PID控制精度,一个三传感器信息融合PID控制器的仿真例子说明了该方法的有效性。
6)  measurement fusion
测量融合
1.
The track fusion and measurement fusion techniques of multi sensor tracking system in case of correlated measurement noise are studied.
研究了测量噪声相关情况下的航迹融合和测量融合问题,根据线性无偏最小方差估计理论,推导了噪声相关情况下的多传感器跟踪系统的航迹融合和测量融合算法。
2.
The idea of measurement fusion is introduced.
介绍了测量融合的思想,讨论了基于线性均方估计和极大似然估计的测量融合算法,在其基础上提出了考虑飞行参数统计信息的测量融合方法,并以捷联惯导/GPS/罗兰 C/Doppler 组合导航系统为例,研究了测量融合在组合导航系统中的应用。
3.
WT5,5”BZ]Two measurement fusion methods for integrated navigation system are discussed.
讨论了测量融合组合导航的两种方法 ,提出并研究了应用极大似然估计的测量融合方法 ,并将该方法与基于线性均方估计的测量融合方法作了比较。
补充资料:Hibbs脊柱融合术


Hibbs脊柱融合术
〗Hibbs脊柱融合术】〓〖WTBZ〗〖HT5”SS〗(Hibbs spine fusion

主要是融合后侧的椎板及关节突,局麻或全麻,俯卧位。后正中切口,显露棘突、椎板、小关节。吸去棘突,将椎板表面骨质凿去薄层,小关节软骨及坚实骨少许亦凿去,再取髂骨植入上述骨及小关节面表面。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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