CDMA

ARIMA模型，用来对非平稳信号的功率谱估计，很有用！(ARIMA model, used for non-stationary signals in power spectrum estimation, very useful!)

数字控制系统是一种以数字计算机为控制器去控制具有连续工作状态的被控对象的闭环控制系统。因此，数字控制系统包括工作于离散状态下的数字计算机和工作于连续状态下的被控对象两大部分。我的课题的数字部分（PID）仿真由相应的离散传函实现，运用数字PID对被控对象实行准确控制。通过调节比例（P）、积分（I）、微分（D），使对象的输出达到预期的效果。(Digital control system is a kind of digital computer for the controller to control a continuous state of the object and closed loop control system. Therefore, the digital control system, including work on the discrete state of the digital computer and work in a continuous state of the plant is two parts. My topic of digital section (PID) simulation by the realization of the corresponding discrete transfer function using the digital PID control of the plant is implemented accurately. By adjusting the ratio of (P), integral (I), differential (D), so that the output of the object to achieve the desired results.)

体视化引擎创建了整洁的结构，并给出一个GUI调用的实例。(Volume Visualization Engine to create a neat structure, and give examples of a GUI calls.)

genera una botella por curvas de bezier

libevent源码分析,具体的一般实现(libevent)

用于特征排序 特征提取前的预处理 对于m*n列的数据进行特征排序 模式识别中的特征提取或者模式分类中的预处理 (Sort feature for feature extraction pre-treatment before the column for the m* n order to characterize the data in the application of pattern recognition)

该代码是根据基于流行正则化和后验概率的分类模型而改写的，能够对复杂数据进行准确的分类。(The code is based on the popular regularization and posterior probability classification model and rewritten, able to accurately classify complex data.)

欢迎大家下载学习，PLS部分最小二乘工具箱,有小波分析的盲信号处理。( Welcome to download the study, PLS PLS toolbox, There Wavelet Analysis Blind Signal Processing.)

说明：  第二章 MATLAB 图形绘制基础 2.1 二维绘图 2.1.1 基本绘图函数 2.1.2 图形窗口的修饰 2.2 三维绘图 2.2.1 plot3 函数 2.2.2 三维网格图和曲面图(MATLAB chapter 2.1 Rendering the basis of two-dimensional mapping function 2.1.2 graphics 2.1.1 basic graphics window 2.2 modified three-dimensional mapping function 2.2.1 plot3 Figure 2.2.2 Three-dimensional grid and surface map)

使用BP神经网络训练数据并且作出预测，比较预测值与真实值的误差。(The use of BP neural network training data and make predictions, comparing predicted and actual values of error.)