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KarhunenLoeve
数据降维算法
K_L变换是一种最优正交变换,以矢量信号X的协方差矩阵Ф的归一化正交特征矢量q所构成的正交矩阵Q,来对该矢量信号X做正交变换Y=QX,则称此变换为K-L变换(K-LT或KLT)。(Data reduction algorithm K_L optimal orthogonal transform is a transformation to vector signal covariance matrix Ф X normalized orthogonal feature vector composed of q orthogonal matrix Q, to be orthogonal to the vector signal X transformation Y = QX, called the KL transform transform (K-LT or KLT).)
- 2011-05-13 10:57:30下载
- 积分:1
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MATLAB-Fibonacci
写一个MATLAB函数fibo.m来计算Fibonacci数列,其定义如下: fibo(n+2)=fibo(n+1)+fibo(n) 此数列的初始条件如下:fibo(1)=0,fibo(2)=1。(Fibo.m write a MATLAB function to calculate the Fibonacci sequence, which is defined as follows: fibo (n+2) = fibo (n+1)+fibo (n) the initial conditions in this series are as follows: fibo (1) = 0, fibo (2) = 1.)
- 2014-12-12 06:07:28下载
- 积分:1
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ANN
这个一个学习自适应滤波的好程序,里面有很多例子,可以供大家学习参考。(This a good learning process adaptive filtering, there are many examples we can learn for reference.)
- 2010-09-05 08:56:18下载
- 积分:1
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Digital_Signal_Processing_MATLAB_7
MATLAB_7.x数字信号处理配套程序(Digital Signal Processing MATLAB_7.x matching procedures)
- 2009-07-12 16:08:02下载
- 积分:1
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main-content
说明: 主成分分析很重要的例子,特别适合于中等研究人员(The example of the main content is fit for middle study student )
- 2011-02-24 21:35:56下载
- 积分:1
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euler-error
欧拉法与改进的欧拉法整体截断误差的阶 右端函数可自行更改(euler/Modified Euler method error)
- 2020-10-04 10:07:39下载
- 积分:1
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exercise
根据公式I(n-1)=(1-In)/n 令I11=0计算I1 到I10;
根据公式In=1-nI(n-1) 令I0=0.6321 计算I1到I7;
根据公式X2=a , 令a=2,计算X的值。(According to the formula
I(n-1)=(1-In)/n ,set I11 equals zero,and count I1 to I10.
According to the formula
In=1-nI(n-1),set I11 equals zero,and count I1 to I10.
According to the formula X square equals a ,set a equals two ,then calculate X
)
- 2010-05-09 21:54:01下载
- 积分:1
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tarea-herramienta-de-corte-robotica
calculate the movement of a robot arm
- 2012-06-09 07:57:21下载
- 积分:1
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HW1cCapacityversusantennas
MIMO Capacity versus antennas
- 2010-06-07 18:29:48下载
- 积分:1
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psoToolbox
Help psoToolbox V1.0
psoToolbox provides an interective GUI based Toolbox to solve
optimization problems using particle swarm optimization.
Creat a fitness function in M-file.
Inputs:
Function : Function handle of fitness function.
Nvars : Number of variable to be optimized.
LB : Lower Bound of Nvars (1 X Nvars)
UB : Upper Bound of Nvars (1 X Nvars)
Parameters:
C1 : Cognative Attraction
C2 : Social Attraction
W : Inertial
Population Size : Number of Swarms
Max Iterations : Maximum number of epochs.
Click on " RUN PSO " button to start PSO search. You will get the out put
at Edit box below the axes.
- 2013-11-24 04:13:20下载
- 积分:1