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wuyuanshujizhi
说明： 无约束极值问题
无约束极值问题的matlab求解源程序，欢迎各位下载。(Unconstrained optimization problem unconstrained extremum problem solving matlab source code, to welcome you to download.)
- 2011-04-12 19:25:48下载
- 积分：1
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Projet
the fuzzy c means program !!
- 2010-05-22 20:00:17下载
- 积分：1
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wiener
这是本人编写的一个利用维纳滤波实现语音增强的程序.在输入语音信噪比不是很低的情况下,效果不错.(This is one I prepared realize the use of Wiener filter speech enhancement procedure. In the input voice signal to noise ratio is not very low circumstances, good results.)
- 2008-02-24 17:11:57下载
- 积分：1
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triangle
输入三条边，判断是否可构造三角形，判断三角形类型(Enter three sides, to determine whether the triangles can be constructed to determine the type triangle)
- 2009-11-23 14:43:48下载
- 积分：1
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GAmean_distance
This function is used to determine the mean distance
for uniform sampling over a hypercube. Used for comparing the
quality of initial conditions with other algorithms that use
only one iterative solution (i.e., can use mean distance here
to set i.c. with same mean distance in single solution algorithm).
thetatmax
- 2010-01-07 20:43:29下载
- 积分：1
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HHT-matlab
HHT变换matlab程序
在matlab下运行即可，可以修改各种参数，采样点数，各种电能质量原始信号均由程序所得，可以信号叠加而来。比如电压跌落，谐波，暂时上升，中断等。
例子给出的是 电压暂降。(HHT transform matlab matlab program can be run in, you can modify various parameters, sampling points, a variety of power quality of the original signal by the program proceeds, may signal superimposed from. Such as voltage drop, harmonics, temporary rise interruption. The example given is voltage sags.)
- 2014-03-29 11:35:57下载
- 积分：1
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imm
基于统计模型（CS）的IMM-kf，程序简单实用(Based on statistical models (CS) of the IMM-kf, simple and practical procedure)
- 2010-12-22 16:50:07下载
- 积分：1
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dpca
采用DPCA检查运动目标，首先产生SAR回波，采用DPCA方法，对回波中包含的运动目标进行检测(The DPCA Check the moving target, first of all to produce the SAR echo, the use of the DPCA method, the detection of moving targets contained in the echo)
- 2012-05-24 00:25:05下载
- 积分：1
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Layer-N
层数N对光子晶体带隙的影响，不同的介质层数N，即不同的周期数,传输矩阵也不同，光子晶体的反射率和透射率也不同。(Influence of layers N bandgap of photonic crystals)
- 2013-05-04 21:31:09下载
- 积分：1
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lda_test
Function to implement Linear Discriminant Analysis
Usage:-
[Xnew,V,mX,D] = lda(X,index,mX)
[V,D] = lda(X,index)
where:-
X = concatenated grand profile vectors (GPV)
i = class index of each vector
Xnew = new feature vectors
P = eigen vectors
mX = mean of GPV (optional in input)
D = eigen values
- 2013-07-09 15:03:43下载
- 积分：1
