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MATLABtutorial
对于初学matlab者，MATLAB教程应该有较好的帮助，(matlab help)
- 2010-11-26 17:01:15下载
- 积分：1
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LS_SVM
最小二乘支持向量机，LS_SVM.m为主函数，normalization.m为归一化函数，release.m为反归一化函数。(Least squares support vector machine, LS_SVM.m is the main function, normalization.m is the normalization function, release.m is the normalization function.)
- 2010-12-28 21:16:50下载
- 积分：1
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AD835
说明： AD835的仿真模型,用matlab的工具箱，simulink搭建的(AD835 simulation model, using matlab toolbox, simulink built)
- 2008-09-24 17:30:28下载
- 积分：1
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SPICE
SPICE的代码，可以运行基于相关矩阵的估计方法，这个方法可以应用于稀疏求解，例如求解DOA(the matlab code for SPICE, it s a sparse covariance-based method for sparse solution, e.g.,the solution for the estimation of DOA)
- 2021-04-10 15:58:59下载
- 积分：1
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Lyapunov_jisuan
这是一个Lyapunov指数计算方法文件，里面有基本的混沌识别方法和混沌预测方法，很有用。(This is a calculation of Lyapunov index files, which are the basic identification method and chaos chaotic forecasting method, very useful.)
- 2010-05-11 23:01:03下载
- 积分：1
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sudoku
使用SA模拟退火算法解数独，拥有自己的适应值函数并且可以查看过程(SA simulated annealing algorithm using Sudoku)
- 2013-12-27 06:50:09下载
- 积分：1
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optics
说明： 经典浓度聚类算法OPTICS，matlab实现，简单易懂，可以运行(Classic Concentration clustering algorithm OPTICS, matlab implementation, easy to understand, you can run)
- 2020-11-07 15:19:48下载
- 积分：1
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Diesel-Engine-Fault-Diagnosis
Matlab中SOM神经网络的数据分类--柴油机故障诊断(SOM neural network in Matlab data classification- Diesel Engine Fault Diagnosis)
- 2011-05-28 12:55:01下载
- 积分：1
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Optimization-by-simulated-annealing
Optimization by simulated annealing genetic algorithm, genetic algorithm so that the reverse search capabilities, through the simulation shows that can be better value.
- 2013-12-10 05:31:57下载
- 积分：1
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genhurst
计算赫斯特指数Calculates the generalized Hurst exponent H(q) of a stochastic variable x(t) (a time series) the scaling of the renormalized q-moments of the distribution
<|x(t+r)-x(t)|^q>/<x(t)^q> ~ r^[qH(q)]
The value of H(q) give indication about the fractal nature of the signal. H(q) = 0.5 corresponds to a Brownian motion, deviations form 0.5 and dependency on q are indications of multi-fractality and time-correlations.(Calculates the generalized Hurst exponent H(q) of a stochastic variable x(t) (a time series) the scaling of the renormalized q-moments of the distribution
<|x(t+r)-x(t)|^q>/<x(t)^q> ~ r^[qH(q)]
The value of H(q) give indication about the fractal nature of the signal. H(q) = 0.5 corresponds to a Brownian motion, deviations form 0.5 and dependency on q are indications of multi-fractality and time-correlations.)
- 2015-03-09 01:26:14下载
- 积分：1
