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The phase of optical wave can be recovered by the intensity transport equation under the paraxial approximation For the optical system with diffraction limit, it is difficult to get the boundary radical slope of phase and sample in the circular domain boundary when using the intensity transport equation to recover the phase, consequently, we reviewed an algorithm mentioned in the reference [4], namely, the equation, computation domain and boundary condition are changed, then the phase is reconstructed by the multigrid method and corrected at last Moreover, the experiment system is set to testify the algorithm, and the recovered phase from the intensity data detected by CCD is compared with the result from phase retrieval algorithm, it is found that the phase reconstruction error can reach 017 λ in the case of non-uniform intensity distribution, as a result, the method is suitable for the phase recovery with low wavefront sensing accuracy.

在傍轴近似条件下,可以利用光强传播方程对畸变波前进行相位恢复。对于衍射受限的光学系统,很难获得相位的边界径向斜率值作为边界条件,此外,要获得精确的圆域边界采样值也并非易事。为了克服上述困难,进一步研究了相位恢复改进方法,即改变了方程的表示形式、计算区域和边界条件,并用多重网格法进行求解获得重构相位,最后再将其修正。为了验证算法的精确性,搭建了实验系统对算法进行实验验证,将由CCD探测的光强分布进行计算得到的相位分布与相位恢复算法的结果进行比较,证明在光强分布非均匀的情况下,该方法恢复的相位均方根误差能够达到017 λ,可以适用于波前传感精度要求不是很高的相位恢复。标签自适应光学相位恢复相位修正光强传播方程 adaptive optics phase retrieval phase correction intensity transport equation

This article introduces three kinds of line cliping algorithms from the basic algorithm philosophy, the algorithm description,the algorithm steps and so on. Then it used the VC programming to realize these three algorithms on the basis of analysing the characteristics and the performance of three algorithms .

本文从算法基本思想、算法描述和算法步骤等方面介绍了三种直线段裁剪算法,在对三种算法的特点和性能进行分析的基础上,使用VC编程实现了这三种算法。

Any graph's cliping attributes to line cliping finally.It commonly used three kinds of line segment cliping algorithms that mainly included the Cohen-Sutherland algorithm, the midpoint of division algorithm and Liang-Barsky algorithm.

任何图形的裁剪最终都归结于直线段裁剪,常用的直线段裁剪算法主要有Cohen—Sutherland算法、中点分割算法及梁友栋一Barsky算法三种。

This paper adopted a course keeping nonlinear robust controller based on closed-loop gain shaping algorithm and exact feedback linearization algorithm and a speed robust controller which was based on closed-loop gain shaping algorithm.

该文采用基于闭环增益成形算法和精确反馈线性化算法的航向保持非线性鲁棒控制器与基于闭环增益成形算法的速度鲁棒控制器。

The algorithm shapes the closed-loop gain without selecting weighting functions in H∞ control algorithm. Its core is to determine the final shape of the transfer function of the closed-loop system, the robust PID controller is directly constructed using parameters having engineering sense. The algorithm guarantees fundamentally that the designed controller has fine control performance and robustness.

该算法避免了常规H∞控制算法中权函数的选择而对系统进行闭环增益成形,其核心是确定闭环系统传递函数的最后希望的形状,用闭环系统具有工程意义的参数直接构造出鲁棒PID控制器,从根本上保证了设计出的控制器具有良好的鲁棒性和鲁棒稳定性。

In this paper, an improved codeword searching algorithm is proposed on the basis of nearest-neighbor search algorithm. The new algorithm considers the sums and variances of image vectors.

摘要该文利用图像矢量的平均值和方差,结合了最近邻域搜索算法,构造了一种新的快速矢量量化编码算法。

Finally, FastICA in time domain is derived based on instantaneous BSS system, and convolutional mixture BSS algorithm in frequency domain is obtained based on convolutional mixture BSS in time domain. Then we combine the two algorithms together and present the complex-value FastICA algorithm in frequency domain, which is a new BSS technique. We merge preprocessing in time domain and correlation coefficient solution in time domain into this new algorithm and present Time-Frequency domain FastICA BSS System.

最后,本文在瞬时混合盲分离系统基础上推出时域FastICA算法,在时域卷积混合盲分离系统基础上推出频域卷积混合盲分离算法,将这两种算法相结合,提出了频域复值FastICA算法,再将此算法与时域预处理方法以及最后回到时域中的利用相关系数求解分离信号方法相结合,从而建立了基于FastICA的时频域盲分离系统,并将其应用到实际环境中的语音信号盲分离中。

The paper includes the constitutes of system hardware, image pretreatment, the achievement of parameter detection artithmetic. The main work is as follow: The pater makes use of vanguard genetic algorithms in image segmentation, uses vanguard genetic algorithms to get the image threshold. Using this method we may get different grey vehicles from the background exactly. Used the support vector machine theory to conduct the vehicles automatic sorting simulation research, the simulation result had proven this method could quite be accurate carries on the vehicles type the recognition; Improved based on the background automatic renewal hypothesized examination region algorithm, enhanced timeliness and the accuracy which the vehicles examines; And to has carried on the specify based on the hypothesized examination region imagery processing algorithm realization; In the paper also introduced withdraws the algorithm based on the gradation continuous movement vehicles characteristic to carry on the vehicles the characteristic to withdraw as well as to use the localization method which colored filter same gradation chart processing unifies to carry on the realization method which the vehicles license plate locates.

本文根据智能交通控制与仿真对于交通流量、车辆到达率、车辆速度等交通信息检测的需求,基于视频图像进行了交通信息处理的算法研究与实现,主要工作包括以下几个方面:将先锋遗传算法应用到图像阈值分割中,利用先锋遗传算法寻求全局最优阈值,可以比较准确的将图像中不同灰度的车辆从背景中分离出来;采用支持向量机理论进行了车辆自动分类的仿真研究,仿真结果证明该方法能够比较准确的将车辆的类型进行识别;改进了基于背景自动更新的虚拟检测区域算法,提高了车辆检测的实时性和准确性;并对基于虚拟检测区域的图像处理算法实现进行了详细说明;论文中还介绍了基于灰度连续性的运动车辆特征提取算法进行车辆的特征提取以及采用彩色过滤器同灰度图处理相结合的定位方法进行车辆牌照定位的实现方法。

The Rife algorithm and the completed Rife algorithm are complemental on the performance, so a synthesized algorithm is obtained.

考虑到Rife算法和补充Rife算法性能互补的优点,提出了一种综合算法。

The thesis also draw several conclusions as follows:(1) Orthogonal experiment design method can be viewed as a special case of genetic algorithm, i. e. a genetic algorithm with a fixed initial population, an oriented-mutation operator and one evolution epoch.(2) In terms of running steps, genetic algorithm is more complex than orthogonal experiment design method.

论文首次对正交试验设计法和遗传算法这两种独立发展起来的方法进行比较研究,提出(1)正交试验设计法是遗传算法的一种特例,即是一种初始种群固定的、只使用定向变异算子的、只进化一代的遗传算法;(2)遗传算法产生的优化解优于正交试验设计法产生的优化解,且遗传算法处理交互作用项的效率高于正交试验设计法;(3)遗传算法的步骤比正交试验设计法复杂,所需的试验次数也要多。

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