yudizi

欧姆龙ASCII转换 特别适合初学者学习(Omron ASCII conversion suitable for beginners to learn)

generates circular sine wave grating

里面是粒子滤波有关的几种重采样方法的对比，这对初学者来说很重要(The inside is the particle filter several re-sampling methods about the contrast, this is very important for the beginners)

实现聚类K均值算法： K均值算法：给定类的个数K，将n个对象分到K个类中去，使得类内对象之间的相似性最大，而类之间的相似性最小。 缺点：产生类的大小相差不会很大，对于脏数据很敏感。 改进的算法：k—medoids 方法。这儿选取一个对象叫做mediod来代替上面的中心 的作用，这样的一个medoid就标识了这个类。步骤： 1，任意选取K个对象作为medoids（O1,O2,…Oi…Ok）。 以下是循环的： 2，将余下的对象分到各个类中去（根据与medoid最相近的原则）； 3，对于每个类（Oi）中，顺序选取一个Or，计算用Or代替Oi后的消耗—E（Or）。选择E最小的那个Or来代替Oi。这样K个medoids就改变了，下面就再转到2。 4，这样循环直到K个medoids固定下来。 这种算法对于脏数据和异常数据不敏感，但计算量显然要比K均值要大，一般只适合小数据量。(achieving K-mean clustering algorithms : K-means algorithm : given the number of Class K, n will be assigned to target K to 000 category, making target category of the similarity between the largest category of the similarity between the smallest. Disadvantages : class size have no great difference for dirty data is very sensitive. Improved algorithms : k-medoids methods. Here a selection of objects called mediod to replace the center of the above, the logo on a medoid this category. Steps : 1, arbitrary selection of objects as K medoids (O1, O2, Ok ... ... Oi). Following is a cycle : 2, the remaining targets assigned to each category (in accordance with the closest medoid principle); 3, for each category (Oi), the order of selection of a Or, calculated Oi Or replace the consumption-E (Or))

说明：  STFT 实现短时加窗 傅里叶 变换 分析 可用于跳频时频分析(STFT to achieve short time Fourier transform of windowed time-frequency analysis can be used for frequency hopping)

对于规则LDPC码的EXIT图的程序，对优化LDPC起到很好的帮助(For regular LDPC code EXIT chart program optimization LDPC play a very good help)

非均匀傅里叶变换，此程序仿真了非均匀采样信号的非均匀傅里叶变换(Non-uniform Fourier transform, this non-uniform Fourier transform of a non-uniform sampling signal simulation program)

黄金分割法求极小，返回值fm为函数极小值，tm为极小值点，f为给定函数，t为函数变量，[a,b]为变量t的搜索区间(Golden section method is extremely small, the return value for the function fm minimum, tm for the minimum point, f for a given function, t for the function of variables, [a, b] for variable search interval t)

Vision based pedestrian detection system based on pso

本资料包括风电场一年内的风速实测数据，并根据实测数据对风电场风速和输出功率进行预测和建模仿真，希望对大家有帮助。(This information, including wind velocity measured data within the electric field of the year, and based on the measured data on wind speed and power output forecasting and modeling and simulation, we hope to help.)