Simulation of X-ray pulsar signals with multiphysical properties

In view of the few and discontinuous X-ray pulsar data, based on the physical properties of the X-ray pulsar real data from the Rossi X-ray Timing Explorer (RXTE) spacecraft, this paper adopts the fast iterative method and the 10 μs time transformation model, simulates the X-ray pulsar signals which have the periodic property, spectral property, and the background noise property as well as a variety of delay effects. We design and implement simulation software which can simulate the X-ray pulsar signals with multi-physical properties. The results of comparing the real data and simulation data in the same situation show that the simulation noises and the actual noises have the same distribution, that the period stability of the simulated X-ray pulsar data agrees with the real data, with the error of only 0.43％, in different energy levels, that the simulated data's integrated profile and the real data's standard profile are highly correlated with the Pearson correlation coefficient of 0.99, and that under the 10μs time transformation model, the time conversion accuracy of the simulation data can reach 10^-7s, the error between the simulation and the real data being just only 10^-7s, which meets the time transformation accuracy. Therefore, the proposed method can realize the high-fidelity simulations and generate the continuous pulsar signal with many physical properties.     

有色噪声激发下结构随机振动离散分析方法

本文以线性结构体系在白噪声激发下随机振动离散分析方法为基础,对线性结构体系在有色噪声激发下的随机振动离散分析方法进行了研究。给出均值、均方响应的离散递推式.并为了能在计算机上进行实际运算,给出了实用化计算公式,最后用该方法对一结构进行了实际计算,分析了计算结果。     

结构化分析与设计技术——一种软件工程方法论

本文通过开发大型软件系统的六个阶段,阐述一种进行功能分析和系统设计的综合方法论,包括它的技术和应用这些技术的过程,并结合程控电话交换系统的实例,作了探讨.表明了软件工程不仅是一种需要继续发展的理论,而且已经成为一种工程实践的活动.     

基于脉冲面积分析法改善(谱分辨率研究

尽可能减小噪声对γ谱分辨率的影响是γ能谱数据获取与处理的关键,传统的脉冲高度分析方法对于已有的脉冲信号噪声的抑制具有局限性.基于高速波形采样技术,提出采用脉冲面积分析方法获取γ谱,利用脉冲面积求和的方法,相当于对噪声信号进行多次采样求和平均,可以有效抑制噪声的影响.通过仿真模拟和实验测量,说明该方法对提高γ能谱分辨率具有显著的效果,可以成为一种有效的分析方法.     

基于红外焦平面阵列读出结构的非均匀校正算法

空间固定图案噪声严重影响了红外探测器的成像质量,它主要是由于焦平面阵列上各探测单元对于同一辐照的光电响应不完全一致所造成。另外,多通道图像数据采集电路的非均匀性更加重了这种噪声。本文提出了一种基于红外焦平面阵列读出结构的非均匀校正算法,它将校正过程分成两步。首先利用恒定统计方法滤除由通道放大器引起的固定图案噪声,然后再将处理结果通过改进的神经网络方法,进一步校正由探测器响应而产生的非均匀性。由于该算法是递推进行,并且具有收敛速度快、计算复杂度低等优点,因此易于工程实现。文中详细阐述了算法的基本原理及其流程,并用仿真数据和真实红外数据对算法性能进行验证,取得了较好的效果。     

基于提升静态小波包变换的自适应消噪方法

基于离散小波变换(DWT)的自适应消噪方法为雷达信号的滤波提供了一种可行的方法.但DWT不具有平移不变性,若不用相同的小波对滤波后的信号进行重构,则会带来较大的重构误差.针对这一现象,提出了一种基于提升静态小波包变换的自适应消噪方法,它推导了静态小波包的提升实现方法,并设计出适合该系统的确定最优小波包分解树的相应步骤,利用引入更多动量因子的权系数迭代公式对各子带进行自适应匹配,并将匹配结果二次自适应,得到拟合的原信号.仿真结果表明,该方法可在计算量增加不大的前提下,进一步改善系统的滤波性能.     

动态核的形态分解联想算法及抗随机噪声研究

在灰度图像分解算法和动态核形态联想记忆网络的基础上,提出了一种新的联想记忆算法--动态核的形态分解联想算法.该方法显著地提高了联想记忆抗随机噪声的能力,较好地解决了灰度图像在含噪时的联想记忆和识别的问题,从而给出了一种恢复含噪灰度图像的途径,并把该方法推广到了彩色图像的处理.通过实验,验证了该方法的良好性能,取得了理想的结果.     

一种混合噪声图像去噪方法

首先分析了含有高斯白噪声和脉冲噪声的图像必须采用不同去噪方法的原因;然后分别给出了小波变换后的低频子带图像与高频子带图像的去噪方法：用改进的邻域平均法对低频子带图像进行去噪处理。对高频子带图像采用中值滤波、阀值处理、小波系数增强方法去除脉冲噪声;最后对经过处理后的各子带图像进行小波逆变换得到恢复图像;实验结果证明了理论分析的正确性。     

基于多体动力学的汽轮机振动声辐射机理及传递路径

采用多体动力学方法进行汽轮机机械振动激励源精确分析,在激励源分析结果的基础上研究低频激励下的机组振动响应,并采用声传递向量（Acoustic Transfer Vector,ATV）方法研究汽轮机组表面与外场辐射的声压传递贡献量,从多体动力学的角度并结合流固耦合的方法综合分析汽轮机组振动噪声产生机理并研究噪声典型传递路径。研究结果表明,旋转激励源为汽轮机组的主要振动激励源,在低频段汽轮机组辐射模式为单极子,在中高频段汽轮机组辐射模式为偶极子。由噪声辐射的指向性极坐标图可知,在不同高度处噪声指向性相似,并都在长度方向上取得噪声声压级较大值,具有较强的指向性。计算方法对汽轮机组减振降噪研究具有一定的指导意义。     

Identifying cell-to-cell variability in internalization using flow cytometry

Biological heterogeneity is a primary contributor to the variation observed in experiments that probe dynamical processes, such as the internalization of material by cells. Given that internalization is a critical process by which many therapeutics and viruses reach their intracellular site of action, quantifying cell-to-cell variability in internalization is of high biological interest. Yet, it is common for studies of internalization to neglect cell-to-cell variability. We develop a simple mathematical model of internalization that captures the dynamical behaviour, cell-to-cell variation, and extrinsic noise introduced by flow cytometry. We calibrate our model through a novel distribution-matching approximate Bayesian computation algorithm to flow cytometry data of internalization of anti-transferrin receptor antibody in a human B-cell lymphoblastoid cell line. This approach provides information relating to the region of the parameter space, and consequentially the nature of cell-to-cell variability, that produces model realizations consistent with the experimental data. Given that our approach is agnostic to sample size and signal-to-noise ratio, our modelling framework is broadly applicable to identify biological variability in single-cell data from internalization assays and similar experiments that probe cellular dynamical processes.