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Matlab-component--in-Optisystem
Matlab component,Creating a component to handle optical signals in Optisystem (In order to create an optical component in Matlab for co-simulation with OptiSystem, first we need to understand the optical signal format that OptiSystem can generate and the structure of that signal launched into the Matlab workspace.
Following is an example to create an Optical Attenuator using the Matlab component. In this example, first we introduce the signal format in OptiSystem, and then we show how to use Matlab to process that signal.
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- 2012-06-11 22:51:24下载
- 积分：1
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A-Guide-to-MATLAB-for-Beginners-and-Experienced-U
Matlab book for student
- 2012-07-02 15:05:48下载
- 积分：1
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PSO-code
it is code of particle swarm optimization in matlab.
- 2015-01-16 15:08:05下载
- 积分：1
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SeIn
This is for demo. Please have a look on to it.
- 2013-12-09 18:34:29下载
- 积分：1
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chap3
用matlab编写的程序，关于MATLAB图像处理的去噪，高斯滤波，低通滤波等等。(Matlab program on matlab image processing, denoising, gaussian filtering, low-pass filtering and so on。)
- 2013-12-18 09:59:14下载
- 积分：1
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CCSK
仿真了跳ccsk软扩频的性能，希望对大家有帮助(ccsk)
- 2021-03-19 15:09:18下载
- 积分：1
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CA
用matlab编写了一个简单的元胞自动机交通可以进行多车道的模拟，有相关的函数(Prepared using matlab a simple cellular automaton can be multi-lane traffic simulation, have related functions)
- 2013-09-23 16:42:39下载
- 积分：1
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GRASP to solve VRP
说明： 一种混合贪婪随机自适应搜索（GRACH）算法，用于解决单车辆段车辆路径问题(a hybrid Greedy Randomized Adaptive Search (GRASP) algorithm that solves a single depot vehicle routing problem)
- 2020-06-25 06:00:02下载
- 积分：1
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道路优化
说明： 交通流OD对优化分配一直以来是图论的难点，本程序用遗传算法的方法解决了OD对流量优化问题(It has been a difficult problem in graph theory for od to optimize the distribution of traffic flow. This program solves the problem of OD to optimize traffic flow with the method of genetic algorithm)
- 2020-05-15 01:55:42下载
- 积分：1
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拉丁超立方 (2)
说明： 假如数据中有N 个变量，而我们想抽取的样本的数量是M,那么在对数据进行抽样的时候，这种方法首先会把N个变量的设计空间均匀的划分开为M份，然后在每个划分好的区域中随机的抽取一点，最后，从这M个变量里，随机挑选之前选好的点，构成我们的样本(If there are n variables in the data, and the number of samples we want to extract is m, then when sampling the data, this method will first divide the design space of n variables into M parts evenly, and then randomly extract a point in each divided area. Finally, from the m variables, randomly select the previously selected points to form our sample)
- 2021-04-07 19:47:52下载
- 积分：1
