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用monte carlo的方法对Nakagami的概率密度函数进行仿真(Using monte carlo methods for Nakagami probability density function of the simulation)

8PSK发射机系统的测试程序，经过4倍内插(8PSK tramsmitter)

该代码为用matlab编写的训练神经网络拟合典型函数曲线的经典程序。(The code is made for training neural network to fit the classical function profile.)

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.)

利用MATLAB GUI设计实现图像处理的图形用户界面，利用MATLAB图像处理工具箱实现以下的图像处理功能： 1. 采用matlab Guide设计实现图像界面与按钮界面。 2. 连接摄像头，编写MATLAB初始化程序 3. 用摄像头采集一副图像，并能实现保存（使用控件按钮保存）。 4. 设计按钮实现对图像进行任意的亮度和对比度变化调整，显示和对比度变化前后的图像。 5. 设计按钮实现用户能够用鼠标选取图像感兴趣区域，显示和保存该选择区域。 (Designed and implemented using MATLAB GUI graphical user interface, image processing, using MATLAB image processing toolbox of image processing functions to achieve the following: 1. Designed to achieve an image using matlab Guide button interface with the interface. 2 Connect the camera to write MATLAB initialization procedure 3, with the camera capture an image and save to achieve (using the control button to save). 4 Design button on the image to achieve any change in the brightness and contrast adjustment, display, and contrast changes before and after images. 5 button design to achieve the user to select an image region of interest with the mouse, display and save the selected area.)

尺度不变特征变换算法和附加的matlab代码(sift transform matlab code)

matlab 的RLS代码，用于可适应滤波器的回声消除功能(matlab for RLS code can be adapted to filter for echo cancellation functionality)

matlab学习教程 讲学习的基本内容，对新手很有帮助 英文讲解，但很容易听得懂(matlab tutorial stresses learning to learn the basic content helpful for the novice English to explain, but easy to understand)

精通MATLAB最优化计算的书籍，精通matlab必读之书(The most proficient in MATLAB Optimization)

SV_C信道建模的matlab实现，多径信道的信道增益系数服从对数正态分布！(SV_C channel modeling of the matlab implementation, multi-path channel the channel gain coefficient lognormal distribution!)