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gauss
说明: gauss消元法求解方程组,可以准确的利用gauss消元法求解线性方程组 (gauss elimination method for solving equations, you can accurately use gauss elimination method for solving linear equations)
- 2011-03-24 23:38:07下载
- 积分:1
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coplsdp
基于MATLAB内点算法求解SDP半正定规划软件包(MATLAB-based interior-point algorithm for solving semidefinite program package SDP)
- 2011-08-02 16:17:00下载
- 积分:1
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Vcmatlabsrc
matlab和vc++联合编程的例子,使用matcom编写matlab程序链接成库文件在vc++中使用。(matlab and vc++ joint programming examples, the use of matlab Matcom preparation procedures into a library file in the link vc++ use.)
- 2008-07-30 20:46:50下载
- 积分:1
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sift
图像配准定义为:对从不同传感器、不同时相、不同角度所获得的两幅或多幅图像进行最佳匹配的处理过程.图像配准需要分析各分量图像上的几何畸变,然后采用一种几何变换将图像归化到统一的坐标系统中。在配准过程中,通常取其中的一幅图像作为配准的标准,称之为参考图像;另一幅图像作为配准图像(Image registration algorithm)
- 2013-11-07 10:10:56下载
- 积分:1
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LQR-Control
People can use this to build a MATLAB project for LQR control
- 2014-02-08 05:34:34下载
- 积分:1
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lightpoint
利用电磁场的源激发方法来计算近场FDTD模拟点光源空间传播,用Matlab编写(The source of electromagnetic fields to stimulate the use of methods to calculate the near-field FDTD simulation of point light sources in space communication, prepared using Matlab)
- 2008-12-10 10:43:19下载
- 积分:1
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27796690License_Plate_Recognition_matlab
本程序采用matlab编写,可以用来识别车牌号码,识别是比较好的(This procedure uses matlab preparation, can be used to identify the license plate number, identification is a better)
- 2010-01-04 16:46:23下载
- 积分:1
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KALMAN_FORWARD_BACKWARD
说明: 对卡尔曼滤波器的测试等,请观看。谢谢了,谢谢。(Testing on the Kalman filter, please watch. Thank you, thank you.)
- 2011-03-29 16:14:57下载
- 积分:1
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pid
以中等纯度的精馏塔为研究对象,考虑到不等分子溢流的影响和非理想的汽液平衡,可以得到塔顶产品轻组分含量Y与回流量L之间的传递函数为:
其中由于现场环境干扰,输出带有测量噪声是(0,1)的正态分布序列,它的方差为ɑ=0.5。由于输出中带有很大的噪声信号,故将数字滤波技术中常见的低通滤波器由于偏差控制,滤掉其中的噪声信号,然后在对其进行PID计算,得到实际的控制量。在该方法在噪声较强的环境下,可以得到较好的控制效果。
控制要求:
1、 采用带低通滤波器的增量式PID将塔顶轻组分含量控制在0.99
2、 用ISTE法整定PID参数
3、 在控制过程中,到150周期加入幅度为-20 的阶跃干扰,在第300周期干扰消失。分析PID参数的抗干扰性。
(Medium-purity distillation column, taking into account ranging from molecular overflow and non-ideal vapor-liquid equilibrium, the transfer function between the light component content of the top product Y and the back flow L can be obtained as:
Because the field of environmental interference, output with the measurement noise is a normal distribution (0,1) sequence, its variance ɑ = 0.5. As with a lot of noise in the output signal, it will be common in low-pass filter in the digital filtering techniques due to the bias control, filter out the noise signal, then its PID, the actual amount of control. In the strong noise environment, you can get better control effect.
Control requirements:
1, using the incremental PID with a low-pass filter to the top of the tower content of light components in the 0.99
2, the method of ISTE tuning PID parameters
3, in the control process, to 150 cycles join the range of-20 step disturbance, disappearance of interference in the first 300 c)
- 2012-04-07 07:27:43下载
- 积分:1
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WaveletBasedTextureRetrievalUsingGeneralizedGaussi
基于小波变换的特征检索算法,用了广义高斯函数和K-L距离为相似侧度 (Wavelet-Based Texture Retrieval Using Generalized Gaussian Density and Kullback–Leibler Distance)
- 2009-04-29 11:41:26下载
- 积分:1