ee522_hw1_pr1

该程序仿真了空时自适应处理STAP里的降维算法3dt，并与最有空时处理的结果进行了比较(The program simulation results were compared with the dimensionality reduction algorithm in the STAP 3dt, and with the most free space-time adaptive processing)

利用matlab里面的吹风机数据，用前300个数据进行辨识。分别采用最小二乘辨识和相关性系数法辨识。并画出图形。通过对比最小二乘法和相关函数两种方法得出来的辨识图形。可知相关函数辨识的准确度更高。(Use a hair dryer inside matlab data before using 300 data identification. Were used to identify the least squares identification and correlation coefficient method. And draw graphics. By comparing the least squares method and related functions have two ways out of the identification graphics. Shows a higher correlation function identification accuracy.)

用于眼球阴影区域提取的matlab程序，附带测试用图像(Eye shadow zone for extraction matlab program, with test images)

利用matlab控制hfss建模,非常方便，节省时间。(how to use matlab control hfss)

在单频激光干涉仪的非线性误差中，运用细分计数方法对其进行修正，在存在高斯白噪声的情况下，采用传统的正切细分法和可修正误差的细分法来仿真比较。(In the nonlinear error of single frequency laser interferometer, the use of segmentation counting method, amending them, in the presence of Gaussian white noise, using the traditional method and the tangent subdivision subdivision errors can be corrected to simulate compare.)

本次作业是在matlab环境中实现的，主要运用了图像处理的基础知识对一张车牌图像进行预处理。如图像转换、图像形态学处理以及图像的边缘检测等来增强图像的对比度。在此基础上利用形态学方法以及投影法相结合来定位图片中的车牌，并将其从图片中剪切出来。最后，将提取出来的车牌字符分割成单个字符并组成新的图像。(This work is implemented in matlab environment, the main use of the basics of image processing on a plate image preprocessing. The image conversion, image processing, and morphological image edge detection or the like to enhance the contrast of the image. Morphology and projection Combination plates to locate the picture, and cut out the picture on the basis of use. Finally, the extracted license plate character segmentation into individual character and form a new image.)

LTE的系统级仿真平台的搭建，包含每个模块，以及每个模块如何使用，都有介绍，里面还包含两个pdf文档(LTE System Level Simulator Documentation,This document contains documentation on how to use the Long Term Evolution (LTE) System Level simulator [1] as well as some insight on its structure and the assumptions that were made while developing it. This document relates more on how to actually use the simulator. The concept and the structure of the simulator is described in more detail in [2])

说明：  《遗传算法及其在电力系统中的应用》华中科技大学版("Genetic Algorithms and Their Applications in Power Systems" 2002)

这个剧本是由旧自治领的塞尔坦·埃尔坎利·恩德·森克·亚曼写的

主成份分析法matlab程序完整代码 可对多指标样本求得分并排名(PCA can request more samples of scores and ranking indicators)