-
eemd
EMD方法,可将非平稳信号降解为单频信号。用于分析其频谱特性。(EMD method, the non-stationary signal degradation for single-frequency signal. For the analysis of their spectral characteristics.)
- 2014-10-05 00:18:08下载
- 积分:1
-
I-Oout
说明: 输入输出,它是告诉我们具体在输入输出方面如何操作,是有效地资料(output input)
- 2010-04-18 20:28:21下载
- 积分:1
-
bianyuantiqu
在Matlab中运用边缘提取的方法,对图像中的特征图形进行边缘提取(By using the methods of edge extraction in Matlab, the edge feature extraction of graphic image of the)
- 2014-11-22 15:18:34下载
- 积分:1
-
LLogitbooosto
Logitboost 是一种改进的boostingg算法,可以用作参考 ,
(Logitboost an improved boostingg algorithm can be used as a reference,)
- 2012-08-16 06:33:55下载
- 积分:1
-
Chapter-9
MATLAB在语音信号分析和合成中的应用第九章程序(MATLAB in speech signal analysis and synthesis applications MATLAB program book Chapter 9)
- 2014-11-03 14:30:03下载
- 积分:1
-
Necessary-60-matlab-code
~~~~~~~为初级学者使用的遗传算法~~~~~~~~~~~~(Genetic Algorithms for Primary learner)
- 2012-04-29 15:19:46下载
- 积分:1
-
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
-
li1
请用多层感知器(MLP)神经网络误差反向传播(BP)算法实现异或问题(输入为,要求可以判别输出为0或1),并画出学习曲线。其中,非线性函数采用S型Logistic函数。(Please use the Multilayer Perceptron (MLP) back propagation neural network (BP) algorithm XOR problem (input is required to determine the output is 0 or 1), and draw the learning curve. Among them, the non-linear function using S-type Logistic functions.
)
- 2014-09-21 15:28:12下载
- 积分:1
-
SNAMP.4
SNAMP代码,供大家学习研究设计使用,希望对你有帮助(SNAMP code for them to learn from research design to use, want to help you)
- 2009-12-14 21:25:36下载
- 积分:1
-
DrawTree_Ctl
实现云模型与分形的树模拟,用MATLAB和VB混合编程实现(achieve cloud model and fractal tree simulation with MATLAB and VB Programming)
- 2006-10-31 10:51:37下载
- 积分:1