kmean

以为高斯和密度估计，使用高斯核的非参数密度估计方法，对样本进行概率密度估计，程序中给出了窗宽的估算公式。(That the Gaussian and density estimation, using Gaussian kernel non-parametric density estimation method, the sample probability density estimates, the program gives the formula for bandwidth estimation.)

这个程序主要是实现空时编码的matlab编解码仿真。(This process is implementation of space-time coding codec matlab simulation.)

matlab从入门到精通第4章书后源码对初学者很有帮助(matlab)

时间抖动对模数转换器性能的影响,对于有效比特精度的影响(the impact of timing jitter to ADC)

those codes are very util for to designer signal processator

这是单自由度的非线性微分方程的求解程序（分段函数），可以画出动响应图和相图。(Nonlinear differential equation)

自适应优化核时频分布,包含文档和实现代码。(automated optimal TFD)

本程序实现LPP降维功能，用于多模态故障诊断中(This procedure realize the LPP dimension reduction function, used in multimodal fault diagnosis )

orthogonal division multiplixing(ofdm) is a new scheme used in wireless communication systems its also called multicarrier system and achieved this. cyclic prefix is used to minimize the intersymbol interference(ISI) and intercarrier interference

K最邻近密度估计技术是一种分类方法，不是聚类方法。 不是最优方法，实践中比较流行。 通俗但不一定易懂的规则是： 1.计算待分类数据和不同类中每一个数据的距离（欧氏或马氏）。 2.选出最小的前K数据个距离，这里用到选择排序法。 3.对比这前K个距离，找出K个数据中包含最多的是那个类的数据，即为待分类数据所在的类。(K nearest neighbor density estimation is a classification method, not a clustering method. It is not the best method, but it is popular in practice. Popular but not necessarily understandable rule is: 1. calculate the distance between the data to be classified and the data in each other (Euclidean or Markov). 2. select the minimum distance from the previous K data, where the choice sorting method is used. 3. compare the previous K distances to find out which K data contains the most data of that class, that is, the class to which the data to be classified is located.)