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1)  space response function
准直器空间响应函数
1.
Methods: By using a perfect parallel-hole collimator model and a collimator model considering the splayed angle effect,this paper proposed a novel method which considers the space response function(SRF) calculating the system matrix and uses an improved Ray Tracing algorithm to perform attenuation correction.
结论:融入准直器空间响应函数的系统矩阵更为精确、贴近真实情况,能较好的抑制边界伪影,提高了重建图像的对比度和信噪比。
2)  spatial response function
空间响应函数
1.
In this procedure,the ex-core detector spatial response function is a bridge between the in-core power distribution and ex-core detector readings.
为此,期望利用芯外探测器的测量数据实现堆芯功率分布的重构,而关联探测器读数和堆芯功率分布的纽带即为探测器的空间响应函数。
3)  stracight-edge response function
直边响应函数
4)  Temporal-Spatial Function
时空响应函数
5)  Time response function
时间响应函数
1.
In this paper,identification technique of modal parameters such as undamped natural frequency, damping ratio and especially mode shape based on least square is presented with wide-meaning Time Response Function in the time-frequency domain.
以广义的时间响应函数作为识别对象,采用时频分析方法给出了频率、阻尼比的参数识别方法,并重点给出了基于最小二乘法的振型识别技术。
2.
Then,the optimum model is established based on time response function.
构建了基于时间响应函数的优化模型,按照变化系数阀值,界定了优化模型的有效区。
6)  time response sequence
时间响应函数
1.
Based on the theories, this paper utilizes the method of "the least square estimate" to discover the constant number c in the time response sequence of Whiterization equation of GM (1,1) after finding the development coefficient and grey action quantity, and abandons the modus operandi to regard x (0)(1), the first number of raw sequence is used as the initial value of the Whiterizatio.
在已有灰色理论的基础上 ,利用“最小二乘法”确定 GM(1 ,1 )白化权函数的时间响应函数中的常数 c,摈弃了传统 GM(1 ,1 )把原始序列中 x( 0 ) (1 )作为初始条件的欠科学的做法 ,构建了时间响应函数的优化模型。
2.
In this paper we utilize the method of"the least square estimate"to find the constant number c in the time response sequence of whiterization equation of GM(1,1),then create the optimum time vesponse sequence of whiterization equation for GM(1,1).
本文利用"最小二乘法"确定GM(1,1)白化权函数的时间响应函数中的常数C,从而构建了GM(1,1)的时间响应函数的最优模型。
3.
In this paper, we find the constant number c in the time response sequence of whiterization equation of GM(1 ,1) with the restriction of least square of the error to avoid the difficulty to find the initial value.
本文以原始序列与其模拟值的差值平方和最小为约束条件,来确定时间响应函数中的常数C, 从而避免了原GM(1,1)模型初始条件难以确定的问题,构建了满足原始序列的最优时间响应函数。
补充资料:索勒准直器
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