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MATLAB PROGRAMS MATLAB PROGRAMS MATLAB PROGRAMS

使用模糊推理对锅炉故障进行检测，代码可运行(Using fuzzy inference boiler fault detection, code can be run)

计算加权加速度,有CDF三角函数曲线/三维曲线图，基于分段非线性权重值的Pso算法，BP神经网络用于函数拟合与模式识别，gmcalab 快速广义的形态分量分析，本程序的性能已经超过其他算法，鲁棒性好，性能优越，包括主成分分析、因子分析、贝叶斯分析。( Weighted acceleration, There CDF trigonometric curve/3D graphs, Based on piecewise nonlinear weight value Pso algorithm, BP neural network function fitting and pattern recognition, gmcalab fast generalized form component analysis, This program has exceeded the performance of other algorithms, Robustness, superior performance, Including principal component analysis, factor analysis, Bayesian analysis.)

振动仿真 vibration simulation using matlab and ansys!(Vibration Simulation vibration simulation using matlab and ansys!)

MATLAB用于仿真光纤通信系统中的光电检测功能(this program is used to realize the optical detection in optical fiber communication system)

fig_tree和logistic map的那个混沌图像的生成(fig_tree and logistic map of the chaos generated image)

在Matlab中通过设计GUI，按下相应的卷积按钮，实现基本信号的卷积功能，并保存实验结果，返回主界面。(In Matlab through the design of GUI, press the button corresponding convolution convolution function, to achieve the basic signal, and save the experimental results, return to the main interface.)

无约束优化,用精确线搜索的最速下降法极小化函数(Unconstrained optimization, with the exact line search the steepest descent method minimization function)

利用函数MadHG生成规则LDPC码的校验矩阵H，其行重为6,列重为3,行数为列数一半(行数越大越好)，H中任意两列没有围长为4的圈，并得到H对应的生成矩阵G，可以保证mod(G*H ,2)=0。使用方法为:[H,G] = MadHG(m,n,x),x= 1(得到的G左半部分为单位阵) or 2(G右半部分为单位阵),(use function MadHG Generation rules LDPC check matrix H, re-6, series of three, out for a few half of the number (A bigger the better), H 2 arbitrary no girth of the four circles, H counterparts and with the formation of matrix G, we can be assured of mod (G* H, 2) = 0. To be used : [H, G] = MadHG (m, n, x), x = 1 (the G part of the Left Front units) or 2 (G right half of the units RUF),)

认知无线电中的频谱分配,基于CSGC算法用公平性标准评价性能好坏！(The cognitive radio spectrum allocation, based on fairness criteria CSGC algorithm to evaluate the performance good or bad!)