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作为MATLAB的一个重要组成部分，Simulink由于它所具有的上述的两大功能和特色，以及所提供的可视化仿真环境、快捷简便的操作方法，而使其成为目前最受欢迎的仿真软件。 本章主要介绍Simulink的基本功能和基本操作方法，并通过举例介绍如何利用Simulink进行系统建模和仿真。 (As an important component of MATLAB, Simulink because it has the two above-mentioned functions and features, as well as provide visual simulation environment, quick and easy methods of operation, which makes it the most popular simulation software. This chapter introduces the basic functions of Simulink and basic operation methods, and through examples of how to use Simulink for system modeling and simulation.)

exemplo compresion dates

基于背景差分的视频背景提取，及车辆检测，基于matlab(Based on the background of the video background differential extraction, and vehicle detection)

可以大批量地处理数据的导入，并将无关行列删除，再对数据中的字符串、数字格式统一，与拼接，并与另一个xls文档中的数据进行比较，是一个不错的代码。(Can import large quantities of process data, and independent of the ranks to delete the data string, the unity of the digital format, with the stitching, and compare the data with another xls document, which is a good code.)

自己编写的红外小目标检测程序，利用红外小目标的统计特性，分别根据均值和方差来进行判断，速度快，效果好(Infrared small target detection, the use of infrared small target statistical characteristics, respectively, according to the mean and variance to judge, fast, good effect)

Sparse in frequency Compressive Sensing

D-S证据理论数据融合，用于时频分析算法，空间目标识别，采用PM算法。( D-S evidence theory data fusion, For time-frequency analysis algorithm, Space target recognition algorithm using PM.)

MATLAB基本图形图像处理操作，包含图像增强，图像分割，特征提取，图像识别，灰度处理线性算法，文字处理等多个压缩包(MATLAB image processing and basic graphics, including image enhancement, image segmentation, feature extraction, image recognition, linear gray-scale processing algorithms, word processing and other compressed)

用matlab的simulink功能进行DSP设计(Using matlab simulink function DSP design)

计算视频图像中每一帧的能量,matlab 代码，可以用于分析图像原能量与编码解码后，误差与原图像能量的倍数关系(computing the energy of each frame in image processing)