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youxianchafen
一个有限差分法的应用文章,包括MATLAB程序,(The application of a finite difference method the article, including the MATLAB program,)
- 2010-10-29 15:23:10下载
- 积分:1
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chap2
这是关于目标定位的几种基本算法,包括质心算法、RRSI算法、TOA算法、AOA算法,所有程序均已调通,仿真结果通过。(This is some basic algorithm about target positioning,including barycenter ,RSSI,TOA,AOA algorithm,and all of them were tested successfully!)
- 2021-03-08 20:19:28下载
- 积分:1
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1
说明: 普通显示技术是根据几何光学成像原理,记录下光波的振幅,将空间物体成像在一个平面上。由于丢失了光波的相位信息,因而物体的信息是不完整的。全息图因能够完整地记录物光波的振幅和相位,因而能够包含物体的全部信息。菲涅耳全息术作为全息术的一个分支,更是得到了飞速的发展,已经广泛应用于全息干涉计量术、全息存储、全息光学组件、全息显微术等各个领域。
本论文主要研究菲涅耳全息图的编码与显示过程。经典光全息术包括波前记录和波前再现两步。全息波前记录将物光和参考光以干涉条纹记录成全息图,此全息图同时记录了物光波的振幅和相位 然后用参考光照射全息图,该参考光经过衍射后,即可再现出原始物体。
计算全息是将先进的计算机技术和光全息术结合起来,利用计算机产生全息图。它不需要物体实际存在,而是把物波的数学描述输入计算机处理后,绘制出全息图,然后用光学方法重现。本文采用计算全息方法,利用Matlab模拟光线的菲涅耳衍射传播,用计算机生成菲涅耳全息图 ,并由所生成的全息图再现出原始图像 ,完成全息图的数字再现。
(Fresnel hologram coding and display)
- 2015-12-10 16:12:19下载
- 积分:1
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Navie-Bayes
机器学习中关于朴素贝叶斯(NB)方法的Matlab源代码,附带四个数据集用于实验(Machine Learning on Bayesian (NB) method of Matlab source code, with four data sets for experiments)
- 2021-01-13 22:28:47下载
- 积分:1
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compressed_sensing_example
compressive sensing theory
- 2013-08-16 21:17:53下载
- 积分:1
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Matlab-filtering
matlab滤波程序,针对陀螺仪驱动信号进行数字滤波(Matlab filtering, in view of the gyroscope driving signal digital filter)
- 2013-10-30 19:22:15下载
- 积分:1
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LMS_eq
LMS Equalizer. implement equlizer with special channel rsponse
- 2014-02-24 02:31:14下载
- 积分:1
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工程故障诊断
利用MATLAB采取频率变化比方法实现工程结构损伤识别(Damage identification of engineering structures using frequency change ratio method based on MATLAB)
- 2020-12-26 19:19:03下载
- 积分:1
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quxianyidongdexiaoqiu
沿曲线运动的小球,可设置起始点和终点,可根据需要进行调整(Movement along the curve ball, you can set the starting point and end point can be adjusted as needed)
- 2010-05-18 10:20:52下载
- 积分:1
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haralickfeat
This is code for Haralick feature extraction for image in matlab. The basis for these features is the gray-level co-occurrence matrix. This matrix is square with dimension Ng, where Ng is the number of gray levels in the image. Element [i,j] of the matrix is generated by counting the number of times a pixel with value i is adjacent to a pixel with value j and then dividing the entire matrix by the total number of such comparisons made.
- 2013-10-01 21:03:21下载
- 积分:1