kmeans 算法在 matlab 环境中

a vierterbi code for matlab

介绍matlab优化工具箱，举了很多有代表性的例子(Matlab optimization toolbox introduced, cited many examples of representative)

在水声阵列信号处理，作为初学者的学习程序。(Underwater acoustic array signal processing, as a beginner' s learning process.)

实现多输入单输出的预测功能，预测精度高，程序操作简单，易于修改应用。(The prediction function of multi input and single output is realized. The prediction accuracy is high, the program operation is simple, and it is easy to modify the application.)

说明：  小世界网络中的SIRS传染病模型实现。该模型将动物状态分为三个类别：易感状态（S）、传染状态（I）、移出状态（R），易感状态的动物在与感染状态的动物接触过程中会以一定概率被传染状态的动物传染而患病；传染状态的动物可以一定的概率将疾病传染给接触到的动物；传染状态的动物在经历一段时间之后得到痊愈并且不再会收到感染，也不会对其他动物造成威胁，即相当于从整体中被移出的状态；在一段时间过后，移出状态的个体会再复原成为易感状态。在初始时一定比例的动物处于感染状态，剩余动物处于易受感染状态。(Implementation of SIRS Infectious Disease Model in Small World Network.The model divides animal state into three categories: susceptible state (S), infectious state (I), and removal state (R). Animals in susceptible state will be infected by animals in infectious state with a certain probability in the process of contact with animals in infectious state; animals in infectious state can transmit disease to animals in contact with a certain probability; animals in infectious state will experience one. After a period of time, the patient recovers and no longer receives infection, and does not pose a threat to other animals, i.e. the state of being removed from the whole; after a period of time, the individual in the state of being removed recovers to a susceptible state. At the beginning, a certain proportion of animals were infected and the remaining animals were susceptible to infection.)

直接序列扩频通信中采用QPSK调制时，须将产生的串行数据首先串并变换成两路，本程序就是实现这种串并变换！(Direct sequence spread spectrum communications using QPSK modulation, it is necessary to have a string of serial data and converted into the first two, the process is to realize such a string, and transform!)

fit_ML_normal - Maximum Likelihood fit of the log-normal distribution of i.i.d. samples!. Given the samples of a log-normal distribution, the PDF parameter is found fits data to the probability of the form: p(x) = sqrt(1/(2*pi))/(s*x)*exp(- (log(x-m)^2)/(2*s^2)) with parameters: m,s format: result = fit_ML_log_normal( x,hAx ) input: x - vector, samples with log-normal distribution to be parameterized hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields m,s - fitted parameters CRB_m,CRB_s - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML

说明：  S变换的matlab源码,希望对大家有帮助(S transform matlab source, in the hope that we have to help)

这里我们针对三级固体火箭进行研究，主要考虑每一级发动机工作时推力 和比冲 与发动机试车存在摄动偏差（相差 ）时所产生火箭关机点时刻的状态偏差。火箭的飞行的动力学方程可建立在地面发射坐标系中，火箭的第一级、第二级和第三级按照固定的俯仰角程序飞行，第二、三级飞行时已在大气层外，此时可忽略气动力的影响。(Here we study for three solid rocket, the main consideration at every level when the engine thrust and state arising the moment the rocket off point perturbation deviation (difference) in the presence of specific impulse and engine test bias. Outside of the rocket flight dynamics equations can be established on the ground coordinate system launch, the rocket s first stage, the second and third stages according to a fixed elevation angle of flight procedures, and the second, when the third flight already in the atmosphere, this when can ignore the effects of gas dynamics.)

雷达电离层污染校正分段多项式新算法，用于校正污染(radar psp-new)