ChaosToolbox1p3_trial

根据的给出降水量，返回干旱历时、烈度、时间.以均值、0.8的均值、0.6的均值为阈值。(according to the given precipitation ,calculate the last time,intensity and the start time of arid.)

Ku波段卫星通信中自由空间衰减计算的simulink mdl文件(Ku-band satellite communications in free space attenuation of simulink mdl file)

画箭头用的一个matlab程序，最新更新版(A matlab program for drawing arrowheads, the latest update)

用蒙特卡罗仿真研究一个通信系统的误比特率BER。假设通信系统满足条件：信源输出的数据符号是相互独立和等概的；在发射机中没有进行脉冲形成；信道是AWGN信道(Using Monte Carlo simulation of a communication system bit error rate BER. Suppose communications systems to meet the conditions: the data source output symbols are independent, and so almost the no pulse in the transmitter in the form channel is AWGN channel)

通过图像像素点之间的相关性来判断该像素点为噪声点还是信号点，进而对其进行滤波。(first, we judge the image pixel that it is noise pixel or signal pixel by compute the correlations between them.then we remove the noise of the image.)

基于chan算法的TDOA定位方法 用于学习(TDOA location method based on Chan algorithm Used for learning)

60GHz无线通信在IEEE802.15.3c信道下误码率matlab仿真(60GHz wireless communication under IEEE802.15.3c channel matlab code)

本程序是ldpc的C语言源代码，如果有需要可以下载学习，可以学习整个通信框架(This program is ldpc the C language source code can be downloaded if there is a need to learn, you can learn the entire communication framework)

Intel MIC Platform Software Stack (MPSS).

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.)