MATLAB-code-of-bluetooth-system

说明：  此文件是二级倒立摆的仿真模型与仿真源程序(set up on a double inverted pendulum fuzzy control module of the Matlab files)

写入for3d程序需要的in文件，此例是以具体应用中的具体问题而写。(also a programme that product the infile of for3d programme.)

本代码是matlab编写的程序集合，是学习matlab图像处理的利器。包括图像边缘检测、图像阈值分割等等。(This code is a set of programs written in matlab, learning matlab image processing tool. Including edge detection, image threshold segmentation and so on.)

使用matlab软件编写的用于计算激波角的程序，简单、易懂、好用！(Written matlab software program used to calculate the shock angle, simple, easy to understand, easy to use!)

说明：  随机序列 实现随机序列 Random sequence (Random sequence )

matlab转c工具书，书中附有大量程序代码(matlab switch c books, and book with a lot of code)

此程序为UWB的产生程序，将其作为M文件复制到新建M文件即可使用！观测仿真效果(TH-PPM-UWB Simulink simulation )

tx module system in matlab

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.)

用matlab编写的，能够实现一个阶梯图(Using matlab prepared to achieve a ladder diagram)