bracket

Spectral subtraction based speech enhancement

matlab仿真程序：扩频发射接收机用匹配滤波器的方法同步(matlab simulation program: spread-spectrum receiver with matched filter fired way synchronization)

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：  数据挖掘中计算JS距离，在matlab环境下的源代码(JS calculated from data mining, environment in the source code matlab)

Harris+角点检测（含Matlab函数的关键代码）(Harris+ corner detection (including Matlab function key code))

地球物理工具包（非常适合地球物理专业的人士使用）。(A Matlab package to perform borehole georadar geostatistical tomography ... Open-source (GNU license))

code of mopso in matlab

matlab中编写计算器程序，matlab中编写计算器程序(matlab calculator in the preparation of procedures, matlab calculator in the preparation of procedures)

machine data processing part2

proakis书籍中的matlab仿真代码(proakis books of matlab simulation code)