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smartfox
说明： 一个Foxmail的辅助工具 SmartFox ，实现闪存“随身邮”功能，用来解决使用闪存时foxmail不提示已使用帐号的问题。(an auxiliary tool SmartFox achieve flash "Walkman Post" feature, intended to address the use of flash when I have not suggested the use of the account.)
- 2005-10-27 15:09:54下载
- 积分：1
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3-DOF-linear-structure1
在分析结构损伤后，给结构添加噪声，再对结构不同损伤情况下的分析(After the analysis of structural damage to the structure adding noise, and then the structure is different in case of damage)
- 2013-10-26 09:53:56下载
- 积分：1
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roundCenter
vc2008 dos 程序
已知AB两点坐标，半径R。
求2个圆心。
公式使用MATLAb推导的，做了一点简化，和小的改动。
都在函数 double jisuanYanxin(double Ax,double Ay,double Bx,double By,double R)
里面(vc2008 dos program known AB two coordinates, radius R. Seeking two center of the circle. Formula derived using MATLAb do a little simplification, and small changes. In the function double jisuanYanxin (double Ax, double Ay, double Bx, double By, double R) which)
- 2010-09-13 17:40:10下载
- 积分：1
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chamfermatching
Description of the file: template matching source of Chamfer matching algorithm. It s OpenCV implementation
- 2013-11-25 23:42:19下载
- 积分：1
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gafap
机器人的路径算法（人工智能§自动规划§用于模拟机器人规划的模拟软件
[zhangzhiguang2.rar] - 用势场法的原理实现的vc搜索最短路径程序，改进后的势场法，实用。
(机器人的路径算法（)
- 2010-06-01 18:55:26下载
- 积分：1
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Papers
电子稳像综述，阐述电子稳像的发展过程和主要理论、方法等。(Overview of electronic image stabilization to explain the development process of electronic image stabilization and the main theories, methods.)
- 2009-11-28 12:01:42下载
- 积分：1
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Gaussnc
不选主元的高斯消元法，用于求解线性方程组，很好用！基于c++编写。(Do not choose the principal component of the Gauss elimination method for solving linear equations, very good use! Prepared based on c++.)
- 2010-03-03 10:39:41下载
- 积分：1
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0712253
I wrote this program for coloring any map with only 4 colors. Input for it is an bitmap file with 24 bit colors (must gray/scale). Output is a bitmap which is colored with maximum 4 colors.
- 2009-12-01 02:34:09下载
- 积分：1
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zhouqitufa
原始周期图法求功率谱估计的matlab程序(The original periodogram seek power spectrum estimation matlab program
)
- 2012-03-29 20:56:00下载
- 积分：1
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LMS
1,、设置变量和参量：
X(n)为输入向量，或称为训练样本
W(n)为权值向量
e(n)为偏差
d(n)为期望输出
y(n)为实际输出
η为学习速率
n为迭代次数
2、初始化，赋给w(0)各一个较小的随机非零值，令n=0
3、对于一组输入样本x(n)和对应的期望输出d，计算
e(n)=d(n)-X^T(n)W(n)
W(n+1)=W(n)+ηX(n)e(n)
4、判断是否满足条件，若满足算法结束，若否n增加1，转入第3步继续执行(, set the variables and parameters:
X (n) is the input vector, otherwise known as the training sample
W (n) for the weight vector
e (n) for the deviation
d (n) is the desired output
y (n) is the actual output
η is the learning rate
n is the number of iterations)
- 2011-12-10 20:22:05下载
- 积分：1
