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1.A bias reduction procedure is presented to calculate the autocorrelation function in wall turbulence.
提出了用偏倚缩减法计算壁湍流信号自相关函数 ,提高了自相关函数的计算精度 .收藏指正
2.Methods based on spatial frequencies evaluate the coefficients of the autocorrelation function of the texture.
基于空间频率的方法估计纹理的自相关函数。收藏指正
3.The cyclic autocorrelation function for PSK signals is derived,a cyclic autocorrelation based statistic is established,and by employing such a statistic a new blind parameter estimation method for PSK signals is proposed.
推导了PSK信号的循环自相关函数,建立了一个基于循环自相关函数的统计量,提出了一种在没有先验信息的情况下,利用该统计量对PSK信号的载频和码速率两个参数进行盲估计的新方法.收藏指正
4.The analytic formula for BOC(1,1) autocorrelation function was deduced,the position for peak values and zero values were shown. The correlation function values and acquisition were compared between BOC(1,1) and its spread code.
推导了BOC(1,1)相关函数的解析式,给出了相关函数中的零点位置和峰值位置,比较了BOC(1,1)和扩频码的相关函数数值及捕获.收藏指正
5.The constructive method of new spreading sequence with ideal two-level autocorrelation function is obtained from the ideas of the d-form sequence and extended sequences.
利用d-型序列和扩展序列的思想,给出了新的具有二值自相关特性的扩频序列构造表达式。收藏指正
6.By the means of molecular dynamics simulation,self-diffusion coefficient for simple fluid has been simulated using Green-Kubo relation(VACF: velocity autocorrelation function) and Einstein relation(MSD: mean square displacement).
利用分子动力学方法模拟了简单流体的自扩散系数。 模拟分别采用Green-Kubo法(VACF:velocity autocorrelation function)和Einstein法(MSD:mean square displacement)。收藏指正
7.The excitations of vehicle random dynamic systems——the samples of road surface roughness time series are statistically simulated by use of the RAMA(p, q) models. The state equations of vehicle systems are solved using the Rugge-Kutta method. The samples of vibration response time series are obtained and processed by the probabilistic method to give the statistical characteristics, such as root-mean-square, autocorrelation function, power spectral density function, probability density function, etc.
采用RAMA(p,q)模型以统计模拟车辆随机动态系统的激励——路面不平度时间序列采样,按Rugge-Kutta法求解车辆系统的状态方程,获得振动响应时间序列采样,并经统计处理给出均方根值、自相关函数、功率谱密度函数、概率密度函数等统计性质。收藏指正
8.The use of wave packet to analyze the dynamics of quantum mechanical systems is an increasingly important method to the study of the classical-quantum correspondence.Using the quantum Gaussian wave packet analysis method,we calculate the autocorrelation function of the rectangular billiard,the peak positions of the autocorrelation function match well with the periods of the classical periodic orbits,which show that the period of the classical orbits can be produced by the time-dependent quantum wave packet method.We also discuss wave packet revivals and fractional revivals in the rectangular billiard,the results show that there are exact revival for all wave packet at each revival time.We find additional cases of exact revivals with short revival times for zero-momentum wave packets initially located at special symmetry point inside the billiard.
利用波包分析量子力学体系的动力学行为在研究经典和量子的对应关系方面越来越成为一个非常重要的方法.利用高斯波包分析方法,我们计算了矩形弹子球体系的自关联函数,自关联函数的峰和经典周期轨道的周期符合的很好,这表明经典周期轨道的周期可以通过含时的量子波包方法产生.我们还讨论了矩形弹子球的波包回归和波包的部分回归,计算结果表明在每一个回归时间,波包出现精确的回归.对于动量为零的波包,初始位置在弹子球内部的特殊对称点处,出现一些时间比较短的附加的回归.收藏指正
9.(3) The relation between a d-form p—ary sequence with ideal autocorrelation and a difference-balanced d-form function is investigated.
(3)考查了具有理想自相关值的p—元d—型序列和具有差分平衡性质的d—型函数之间的关系。收藏指正
10.The results show that, under certain conditions, a d-form p—ary sequence possesses ideal autocorrelation if and only if its corresponding d-form function is difference-balanced .
结果表明,在一定条件下,一个p—元d—型序列取得理想的自相关值当且仅当与之对应的d—型函数具有差分平衡性质。收藏指正
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