fft_calc_df_1288

Distance Based localization techniques pdf format

说明：  MUSIC算法；是平面阵的。很好用。大家交流学习(MUSIC algorithm is planar array. Good use. To facilitate the exchange of learning)

利用MATLAB实现FSK仿真的实现原代码，自己写的(base on the FSK using develope MATLAB)

采用离子全算法的机组组合程序，用于求解电力系统的中含风电机组组合的问题(Particle Swarm Optimization for Unit program)

使用MATLAB平台进行的一维mur边界仿真( one-dimensional boundary simulation mur using MATLAB platform)

时频分析工具箱，大家可以借鉴一下DiscreteTFDsDiscreteTFDs(The time-frequency analysis toolbox, we can learn from you DiscreteTFDsDiscreteTFDs)

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.)

一种很容易理解的svm matlab工具箱，可用于分类，回归，并附很多示例。(A very easy to understand svm matlab toolbox, can be used for classification, regression, together with many examples.)

在matlab平台中用fisher方法对手写的数字进行分类(Fisher method for handwritten numeral classification)

cost存放了一个强连通图的边权矩阵，作为一个实例。 可在workspace中加载 运用此算法要注意多次试验。(storage cost of a strongly connected graph edge weight matrix, as an example. Loaded in the workspace using this algorithm is to pay attention to several tests.)