impulsive_noise

黄友瑞的智能优化算法书中的免疫算法源代码！！！！(Intelligent Optimization Algorithm Huang Yourui immune algorithm source code book! ! ! !)

说明：  这是为想学习Matlab的学习者准备的足够练习题，实例子，有了它们，你可以很好的去练习而不是纸上谈兵。(This is to prepare learners want to learn enough Matlab exercises, case children, with them, you' re good to practice rather than on paper.)

实现VC++与Matlab的混合编程，解决这 个问题， 不仅能更好地发挥Matlab 强大的功能， 还能快速地进行软件开发， 尤其是当软件开发中需要实现复杂的数学算法、图形处理时尤为迫切。(The realization of VC++ and Matlab mixed programming, to solve thisA question, not only can play a better Matlab powerful function, can rapidly in software development, especially when the software development need to realize the complex mathematical algorithms, graphics processing is particularly urgent.)

这是matlab编写的全局最优的图像二值化方法(prepared by the global optimum image binarization methods)

三相逆变桥【做的有点渣，请见谅【二十字二十字二十字二十字(Three-phase inverter bridge)

说明：  蓄电池仿真模型，电池为锂离子电池，11.2KWH，模型含开路电压和内阻的数据。(Battery simulation model, the battery is lithium-ion battery, 11.2kwh, the model contains open circuit voltage and internal resistance data.)

Newton Raphson load flow y bus formation

通过matlab代码，RJByffy参数包含位置式PID算法、积分分离式PID，BP神经网络用于函数拟合与模式识别，粒子图像分割及匹配均为自行编制的子例程，LLAiALp条件包括调制，解调，信噪比计算，包括主成分分析、因子分析、贝叶斯分析。( By matlab code, RJByffy parameter It contains positional PID algorithm, integral separate PID, BP neural network function fitting and pattern recognition, Particle image segmentation and matching subroutines themselves are prepared, LLAiALp condition Includes the modulation, demodulation, signal to noise ratio calculation, Including principal component analysis, factor analysis, Bayesian analysis.)

matlab的一个第三方语音信号处理工具箱，包含的各种常用语音信号处理的函数(a third-party voice matlab signal processing toolbox, including a variety of commonly used function of speech signal processing)

自举是一种由重采样估计，独立和（蒙特卡洛重采样）等概率设置一个单一的数据统计变化的一个途径。允许的措施估计那里的潜在分布是未知的或者样本量很小。他们的结果与这些分析方法的统计特性相一致。 在这里，我们使用非参数逼近。非参数引导更简单。它不使用该模型的结构，建造人工数据。矢量[易西]是重采样，而不是直接与replecement。这些参数是从这些对构建。 二，回归模型时，应使用在回归方程中的两个变量是随机的，会有错误的，即不是由研究者控制。模式，我用普通最小二乘回归低估了变量之间的错误时，他们都含有线性关系的斜率。据索卡尔和罗尔夫（1995），模型二回归的主题是一对哪些研究和争论仍在继续，最终建议是很难做出。 BOOTGMREGRESS模型II是一个引导程序。这需要s引导和规范样品前坡计算变量。这两个变量的每个转化为具有零均值和标准差的一个。由此产生的斜率是线性回归系数的Y在X里克创造了这个词（1973）几何平均数并给出了一个模型II回归广泛审查。它也被称为引导标准的主要轴线(The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their results are consistent with the statistical properties of those analytical methods. Here, we use the Non-parametric Bootstrap. Non-parametric bootstrap is simpler. It does not use the structure of the model to construct artificial data. The vector [yi, xi] is instead directly resampled with replecement. The parameters are constructed from these pairs. Model II regression should be used when the two variables in the regression equation are random and subject to error, i.e. not controlled by the researcher. Model I regression using ordinary least squares underestimates the slope of the linear relationship between the variables when they both contain error. According to Sokal and Rohlf (1995), t)