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DOE (2)

于 2019-03-22 发布
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下载积分: 1 下载次数: 29

代码说明:

说明:  衍射光学光束整形元件设计 目标:在透镜后焦面上实现图形的光强分布 实现: 1、波长、衍射光学元件口径、形状、入射波前、二维目标分布及尺寸等都可自行设定; 2、对相位进行8台阶量化,重新计算; 3、更换输出面的采样间隔,重新计算。(Design of Diffraction Optical Beam Shaping Element Objective: To realize the intensity distribution of the pattern on the focal plane behind the lens. Realization: 1. Wavelength, aperture, shape, incident wavefront, two-dimensional target distribution and size of diffractive optical elements can be set by themselves. 2. The phase is quantized by 8 steps and recalculated. 3. Replace the sampling interval of the output surface and recalculate it.)

文件列表:

DOE (2).m, 3001 , 2019-03-22

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    经过一系列步骤实现结构光的中心提取,结果还不错(After a series of steps, the center of structured light is extracted, and the result is not bad.)
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    A few people have been asking for configurable rendering, especially since Twitter Bootstrap has become popular. Rajeesh CV submitted a pull request that introduced a view model for the Pager, the PaginationModel. This view model made it very easy to create an option where you can specify a DisplayTemplate that is used for the actual rendering. It works like any other ASP.NET MVC DisplayTemplate and requires a model of PaginationModel. As a bonus, the PaginationModel makes unit testing a lot easier
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    说明:  FMCW信号处理是通过python脚本实现的,可以总结为: FMCW IF信号预处理 范围-时间地图构造(RTM) 多普勒时间地图构造(DTM) 角度时间地图构造(ATM)(FMCW signal process was implemented by python script, which can be sum up as: FMCW IF signal pre-process Range-Time-Map construction (RTM) Doppler-Time-Map construction (DTM) Angle-Time-Map construction (ATM))
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    考虑雨衰 阴影 和多径影响,可以广泛的应用于数据预测及数据分析,采用了小波去噪的思想。( Consider shadow rain attenuation and multipath effects Can be widely used in data analysis and forecast data, Using wavelet denoising thought.)
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    说明:  小波去噪的程序,很好用,推荐给大家使用。(Wavelet denoising procedures, very easy to use, recommended for everyone to use)
    2019-03-28 16:04:00下载
    积分:1
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    数字图像处理中的常用图,LEANNA图,大米图等等,超多图像。(Digital image processing in commonly used map, LEANNA maps, map of rice, etc., super multi-image.)
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