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sslle
semi-supervised LLE,matlab codes.
- 2010-10-27 14:52:03下载
- 积分：1
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Simulation-of-JTC-using-Matlab
说明： 利用Matlab软件平台对JTC进行了图像识别仿真实验，得到了二维及三维相关输出图像，显示出尖锐的相关峰。仿真实验表明：联合变换进行图像识别中存在强烈的零级干扰，干扰信号是有用信号的7.14倍，输出结果不理想；采用功率谱相减法可以消除零级强干扰，进而提高了图像的识别能力。(Simulations of joint transform correlator (JTC) using Matlab is implemented, and the 2-D and 3-D drawings of the correlation image are obtained. In the simulation experiments, the sharper correlation peaks are showed. The result shows that strong disturbance of zero rank exists in the simulation of JTC, and it is 7.14 times stronger than the useful signal thus, the power spectrum subtraction is used to eliminate the strong disturbance, and the capacity of image recognition is improved.)
- 2011-03-05 23:32:26下载
- 积分：1
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zhishuyc
用matlab实现的自回归时间序列预测电力短期负荷，已经用于实际的工程(using Matlab achieved since reunification time series forecasting electricity short-term load, has been used for the actual project)
- 2021-05-12 19:30:02下载
- 积分：1
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ici-interfernce-cancellation
this is a source code for ici interference cancellation in multiuser detection
- 2013-03-08 19:50:07下载
- 积分：1
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Wind-vibration-analysis
风振分析采用davenport风谱来产生脉动风速速时程，采用自回归线型滤波法。(Wind-induced vibration spectrum analysis using the wind to generate davenport fluctuating wind swift schedule, using a self-tropic type filtering.)
- 2021-03-27 17:29:12下载
- 积分：1
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粒子群算法程序
粒子群算法的程序，主要是针对基本粒子群和改进粒子群算法。(Particle swarm optimization procedures, mainly for the basic particle swarm optimization and improved particle swarm algorithm.)
- 2020-10-28 23:49:57下载
- 积分：1
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BP_nuro-network(MATLAB)
BP神经网络的设计实例(MATLAB编程)，两种不同的训练算法(BP neural network design examples (MATLAB Programming), two different training algorithms)
- 2013-03-03 13:49:51下载
- 积分：1
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lyapunov
LE计算方法。这里给出了经典的分析方法。(LE calculation. Here are the classic analytical methods.)
- 2008-01-30 14:39:41下载
- 积分：1
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project
Advanced Human Mood detection technique using Genetic Algorithms in Matlab
- 2009-05-08 18:46:03下载
- 积分：1
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ols
正交最小二乘辨识算法
该算法除了实现最小二乘辨识功能之外而且能按照各项重要性将其逐一选出并且估计相应系数(OLS Orthogonal Least Quares.
[x, ind] = OLS(A,b,r) gives the solution to the least squares problem
using only the best r regressors chosen from the ones present in matrix A.
This function also returns in the vector ind the indexes of the
best r regressors (i.e., the best columns of A to use).
If r is equal to n, the solution x given by OLS is the same as the solution
given by A, but in ind we still have the regressors sorted by their
importance. This means that one can perform a feature selection by taking
the first k entries in ind (k<r).)
- 2010-01-06 20:18:56下载
- 积分：1
