Description: 通过excel将输入读入matlab中,计算文件第四列元素的最大值,最小值和均方根值,对应z波面拟合中的PV RMS的计算。上传文件中包括excel文件-Input read by excel in matlab to calculate the column IV of document elements of the maximum, minimum and RMS values, corresponding to zernike Wavefront fitting of PV RMS calculation Platform: |
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Author:陈晨 |
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Description: 实际光学元件的畸变波前建立了畸变波前模型,畸变进行了仿真研究,给出了二维平面的matlab源代码-The actual wavefront distortion of optical components to establish a distorted wave-front model, a simulation study of distortion are given two-dimensional plane, the source code matlab Platform: |
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Author:lexi |
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Description: Matlab 程序: 解决了Gram-Schmidt正交化方法,次方程法可以用于求解Zernike 多项式的波面拟合系数!-Matlab program: Solving the Gram-Schmidt orthogonalization method, sub-equation method can be used to solve the wavefront Zernike polynomial fitting coefficients! Platform: |
Size: 1024 |
Author:cao ya |
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Description: Matlab程序: Householder变换法的程序,此方法可以用于求解zernike 多项式波面拟合的系数,且能避免病态方程的产生!-Matlab program: Householder transformation method of procedure, this method can be used to solve zernike wavefront fitting polynomial coefficients, and can avoid the ill-conditioned equations generation! Platform: |
Size: 1024 |
Author:cao ya |
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Description: 图像增强的目标是改进图片的质量,例如增加对比度,去掉模糊和噪声,修正几何畸变等;图像复原是在假定已知模糊或噪声的模型时,试图估计原图像的一种技术。
图像增强按所用方法可分成频率域法和空间域法。前者把图像看成一种二维信号,对其进行基于二维傅里叶变换的信号增强。采用低通滤波(即只让低频信号通过)法,可去掉图中的噪声;采用高通滤波法,则可增强边缘等高频信号,使模糊的图片变得清晰。具有代表性的空间域算法有局部求平均值法和中值滤波(取局部邻域中的中间像素值)法等,它们可用于去除或减弱噪声。
-A sharp and clear image is not directly produced
from the optics, however, digital signal processing applied to the sampled image produces a sharp and clear final image that
is also insensitive to misfocus related aberrations. This paper gives an overview of Wavefront Coding and example images
related to the two applications of machine vision/label reading and biometric imaging. Design techniques of Wavefront
Coding are unique from that of traditional imaging system design since both the optics and digital processing characteristics
of the system are jointly optimized for optimum system performance. Platform: |
Size: 1024 |
Author:小小 |
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Description: 有关自适应光学系统中的波前重建的数字模拟包-The adaptive optics system of wavefront reconstruction of digital simulation package Platform: |
Size: 320512 |
Author:leon |
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Description: 该程序主要对非球面镜进行波面拟合,首先读入采集的离散面型数据,可以是从椭圆曲面,抛物面等采样得到,也可以是通过其他软件计算得到的数据。然后将数据用Zernike多项式进行拟合得到非球面表达式各项的系数。-The program on the aspheric wavefront fitting, first read into a collection of discrete surface data can be
Sampling from the oval surface, the paraboloid, can also be calculated data obtained by other software. However
After aspherical expression obtained by fitting the data with Zernike polynomials coefficient. Platform: |
Size: 4096 |
Author:杨丽娟 |
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Description: 泽尼克多项式来表示波前形状,此程序运用matlab求得泽尼克多项式系数- Searched: Entire Web Site
Advanced Search Results 1 through 9 of 9
Zernike Polynomial Coefficients for a given Wavefront using Matrix Inversion in Matlab
Platform: |
Size: 7168 |
Author:孙彤 |
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Description: 在matlab里利用逆矩阵算法对于一个给定的波前来算它的泽尼克系数-Zernike Polynomial Coefficients for a given Wavefront using Matrix Inversion in Matlab
Platform: |
Size: 2048 |
Author:孙彤 |
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Description: 下面给出了48项泽尼克多项式,外加一项常数项。需要注意的是,读者并不需要严格按照下文所示的顺序排列这些泽尼克项,实际上在不同的应用和机构会采用不同的排列顺序。
表中的#0项是个常数或者说是平移项(piston term),这一项的系数也代表了平均光程差;而#1和#2项分别是x和y方向的倾斜项(tilt terms),#3代表了聚焦,因此,#1到#3项代表了波前的高斯或者近轴特性;#4和#5项代表了像散和离焦,#6和#7项代表彗差和倾斜,而#8项代表了3级像差和离焦,也就是说#4到#8项为3级相差项;同样地,#9到#15项代表了5级像差,而#16到#24项代表了7级像差,#25到#35项代表了9级像差,#36到#48项代表了11级像差。(Here are 48 Zernike polynomials, plus a constant term. It is important to note that the reader does not need to strictly arrange the Zernike entries in the order shown below, but in fact different orders of arrangement are applied to different applications and institutions.
Table #0 is a constant or a shift (piston term), a coefficient of this term also represents the average optical path difference; while #1 and #2 are inclined X and Y direction (tilt terms), #3 represents the focus, therefore, #1 to #3 on behalf of the wavefront. Gauss or paraxial properties; #4 and #5 represent the astigmatism and defocus, #6 and #7 represent coma and tilt, and #8 represents the 3 order aberration and defocus, that is to say #4 to #8 is 3 level difference; similarly, #9 to #15 on behalf of the 5 order aberration #16 and #24, to represent the 7 level #25 to #35 aberration, on behalf of the 9 #36 to #48 aberration, on behalf of the 11 order aberration.) Platform: |
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Author:asdsdaa
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Description: 基于Zernike多项式的波前像差到点扩散函数PSF及MTF的模拟,包含代码及相关文档,特别是PPT,值得好好看。(Based on Zernike polynomial, the simulation from wavefront aberrtation to point spread function PSF and MTF , including code and related documents, especially PPT, worthing high value.) Platform: |
Size: 1138688 |
Author:wuds0729
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Description: 泽尼克系数多项式矩阵计算,对于重构波前有一定的帮助(Zernike coefficient polynomial matrix calculation, for the reconstruction of wavefront has some help) Platform: |
Size: 1024 |
Author:vic316506407
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Description: 传统的高分辨波达方向(DOA)估计算法中,一般都假设信号位于远场,此时入射到阵列的信源波前为平面波前,空间信号的定位参数可由DOA来确定。然而,当信源处于阵列的Fresnel区域时,信号波前需用球面波来描述,每个信源的定位信息要用DOA和距离联合描述。因此,远场情况下的一些线性理论推导已不再成立,传统的远场算法的估计不再适用(In traditional high resolution direction of arrival (DOA) estimation algorithms, it is generally assumed that the signal is located in the far field, where the source wavefront incident to the array is plane wavefront, and the location parameters of the spatial signal can be determined by DOA. However, when the source is in the Fresnel region of the array, the wavefront of the signal needs to be described by spherical wave, and the location information of each source needs to be described by DOA and distance. Therefore, some linear theoretical deductions are no longer valid in the far-field case, and the estimation of the traditional far-field algorithm is no longer applicable.) Platform: |
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Author:同学小徐 |
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Description: 1.通过本实验掌握数字全息实验原理和方法;
2.通过MATLAB编程,对实验数字全息图进行数据处理,达到提高再现像质量和方便提取有用信息的目的;
3.用空域滤波方法消除零级像;
4.理解波前记录与再现。(1. Master the principle and method of digital holography experiment through this experiment;
2. Through MATLAB programming, the experimental digital hologram data processing, to improve the quality of the reconstructed image and facilitate the extraction of useful information;
3. Using spatial filtering method to eliminate zero order image;
4. Understand wavefront recording and reproduction.) Platform: |
Size: 3588096 |
Author:YLongLee |
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