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书籍 用matlab做信号与系统分析 教程全面，例程丰富(Books Using matlab to do a comprehensive tutorial signal and system analysis, routine rich)

Simulink diagram of abc to alpha beta and dq transformation

基于改进的蚁群算法实现机器人的避障以及路径规划(Robot s improved ant colony algorithm based obstacle avoidance and path planning)

—This paper shows a proposal for Type-reduction of an Interval Type-2 fuzzy set composed from α -cuts done over its primary membership functions. The defi nition of available Type-reduction methods for Interval Type-2 fuzzy sets are based on an homogeneous subdivision of the universe of discourse, so we propose an approximation algorithm for Type-reduction of an Interval type-2 fuzzy set through its primary α -cuts. Some defi nitions about the α -cut of a Type-2 fuzzy set are provided and used for computing the centroid of an Interval Type-2 fuzzy set through a mapping of its membership function, instead of its universe of discourse.

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))

A Modified median filter to remove fixed value impulse noise upto 35 Noise Density. Filterdesign.m--main program salt_correction.m--to remove salt noise pepper_correction.m--to remove pepper noise

MATLAB CODE FOR STEGANOGRAPHY

该程序利用同态滤波的方法对心音信号求解包络(homomorphic_envelope)

matlab code for suplabel

动态分级法matlab程序，动态聚类，方法简便有效，而且能够给出所有分类结果。(Dynamic classification method matlab procedures, dynamic clustering, the method is simple and effective, and can give all the classification results.)