-
PSO-CODE
以Rosenbrock矩阵做为测试函数的微粒群算法的一些源码(Rosenbrock matrix in order to function as a test of the Particle Swarm Optimization of a number of source)
- 2009-06-23 09:25:19下载
- 积分：1
-
Duffing
蛙跳积分法数值模拟Duffing方程和单摆运动的matlab程序(Numerical simulation leapfrog integration Duffing equation and pendulum motion)
- 2013-11-26 21:29:39下载
- 积分：1
-
cal
说明： 在原始信号加入白噪声，通过卡尔曼滤波去除噪声，恢复原始信号。(In the original signal to join the white noise through the kalman filter remove the noise, restore the original signal.
)
- 2011-04-18 15:00:57下载
- 积分：1
-
acontour
active contour segmentation with matlab.
- 2010-11-29 18:37:05下载
- 积分：1
-
DTW
用DTW算法实现语音信号的特征对齐，解决了发音长短不一的模板匹配问题(Aligned with the DTW algorithm to achieve the characteristics of the speech signal, and solve the problem of template matching the pronunciation of varying lengths)
- 2012-06-05 22:56:25下载
- 积分：1
-
load
matlab 读取文件中数据并绘制图形的程序(matlab draw the data from the other files)
- 2013-10-05 11:36:24下载
- 积分：1
-
MATLAB
matlab与C++的混合编程，实现计算rice图像中的米粒个数。(matlab and C++ mixed programming, to achieve calculate the number of rice grain image.)
- 2010-05-18 10:18:54下载
- 积分：1
-
ID3-face
MATLAB编写的基于决策树的ID3算法实现，模式识别，人脸识别。压缩包中包含两个源文件和测试图片，ID3源文件为主代码，fi为求熵函数。(MATLAB prepared based on the ID3 decision tree algorithm, pattern recognition, face recognition. Compressed package contains two source files and test images, ID3-based source code files, fi for the sake of entropy.)
- 2013-12-10 11:36:41下载
- 积分：1
-
treelet-testcode_April08
一维无序随机信号的小树变换处理，小树变换即treelet，是一种有效的高维的，无序的，杂乱的数据进行降维，特征提取的方法(One-dimensional disorder random signal processing, the saplings transform treelet tree transform namely, is a kind of effective high-dimension, disorder, messy data dimension reduction, feature extraction method)
- 2011-05-18 21:01:04下载
- 积分：1
-
assign_2_a
We see that HTH matrix is almost diagonal as the off diagonal elements are nearly zero. So we are getting exact estimation in case of PRN INPUT due to diagonality of HTH matrix. As seen that the unknown inpulse response ( h ) and estimated impulse response ( hth ) are coming out to be exactly same. The estimation even gets better for large N .as we get the HTH matrix perfect diagonal. So we come to know that we can estimate the unknown parameters exactly when PRN input is used.
- 2013-05-02 02:53:16下载
- 积分：1
