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encontrar_raices
metodo de cramer para raices. codigo implementado
- 2010-08-25 11:57:58下载
- 积分:1
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zhengliu
说明: 这是一个关于全波和半波整流的仿真模型,SIMULINK的模型(This is a study on full-wave and half-wave rectifier of the simulation model, SIMULINK model)
- 2008-11-30 09:39:58下载
- 积分:1
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k_means
模式识别与人工智能中k均值算法的matlab源码(Compute k means for the data using the k_means algorithm)
- 2015-04-06 18:46:58下载
- 积分:1
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RF_Reg_C
随机森林算法的matlab代码,这里旨在给初学者研究的随机树回归算法(Random forest algorithm Matlab code, aimed at beginners study a random tree algorithm)
- 2020-09-23 17:17:49下载
- 积分:1
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无位置传感器无刷直流电机控制系统仿真
说明: 只要检测到反电势过零点就可以得到转子的位置信号,就可以实现无刷直流电机的无位置传感器控制。(As long as the position of the rotor is detected by detecting the zero-crossing of the back-EM potential, the position sensorless control of the brushless DC motor can be realized.)
- 2021-04-14 21:58:54下载
- 积分:1
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level_set_methods_1.1.7
利用matlab实现level set图像分割(using Matlab achieve level set Segmentation)
- 2007-04-04 10:51:38下载
- 积分:1
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GVF
用于描述图形周围GVF力场分布图,必须有前置的GVF源码,这个代码才能发挥作用(GVF force field used to describe the graphics around the map, must have front of the GVF source, this code can play a role)
- 2010-06-07 00:57:35下载
- 积分:1
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nn_face
nearest neighbor algorithm with orl database
- 2010-02-10 19:05:21下载
- 积分:1
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MFCBandFilter
一个用MFC写的滤波器源代码,代码结构非常精巧,可以参考
功能:1 固定带通滤波
2 可变带通滤波
3 噪声删除
4 输入输出误差计算
实现比较简单,由于使用了Microsoft Foundation classes,代码流程很简单,但是实现的功能比较充分
Filter.h:头文件,定义了CFilterApp 类
Filter.cpp:利用MFC的函数实现了CFilterApp
Filter.rc:资源文件,包括对话框和图标的说明(use a filter to write MFC source code, code structure is very delicate, can be functional : a fixed band-pass filtering two variable bandpass filter to delete four 3 noise input and output error calculation is relatively simple to achieve. As the use of Microsoft Foundation classes, code process is simple, but to achieve the more fully functional Filter.h : The first document, CFilterApp definition of the category Filter.cpp : MFC function realized CFilterApp Filter.rc : resource files, including dialog box and the note icon)
- 2006-12-04 17:13:56下载
- 积分:1
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parisaG
In this experiment you will simulate a symmetric binary communication system in which the probability that a bit is corrupted is p, that is P(receiving 0|1 sent) = P(receiving 1|0 sent) = p. To actually perform this experiment you will have to first develop a random number generator that produces binary random numbers.
- 2011-06-19 21:25:16下载
- 积分:1