FROG

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：  主要用于基于TDOA测距定位的卡尔曼滤波，(TDOA ranging mainly used for location-based Kalman filter,)

说明：  大家可以参考以下 有关MATLAB图象处理的 后面有详细注释(we can refer to the following MATLAB image processing behind a detailed Notes)

计算Information Discrepancy中的FDOD函数集(calculation of the discrepancy infer Function Set)

实时处理声音降调 matlab源代码 短时傅里叶变换(Real-Time Speech Pitch Shifting)

lecture series of matlab

由海洋模式数据和卫星高度计诊断的海表面高度诊断海洋中尺度涡旋的matlab程序(Detect the geostrophic eddies altimetry and ocean models sea surface height (SSH). Detection method : a combination of detecting the largest closed contours in SSH and the positive values of an Okubo-Weiss parameter. This require less tunable parameters in comparison to previous methods. This is usefull for the comparisons between different products, such as models and altimetry.)

heading filter, this is a matlab file used to clean up and filter the GPS heading information for later use

新能源电动汽车电池组开路电压和内阻计算模块的simulink仿真模型(New energy electric car battery open-circuit voltage and the internal resistance computing modules simulink simulation model)

图像进行小波分解后，对于相对来说不重要的高频成份采用较高的阈值，进行高压缩；而对集中图像大部分能量的低频成分采用较小阈值，以确保图像恢复时的质量(Image Compression)