bao_dh38

mimo的相关书籍，主要对mimo技术所涉及的一些基础理论进行概括和总结。方便读者阅读。(mimo' s books, mainly on mimo technology involved some of the basic theory Summary and Conclusion. The convenience of readers.)

同伦算法的Matlab程序，同伦算法是一种大范围搜索算法，可以克服传统数值算法(如牛顿法)的许多缺点。 (code for Homology_Continuation_Algorithm)

说明：  采用matlab语言对图像图形进行自适应中值滤波(Adaptive median filter)

说明：  利用子空间方法实现复频域信息最大化的matlab程序(Subspace method using complex frequency domain information to achieve maximum matlab program)

用matlab编程工具，编写具有操作界面的应用程序，通过菜单、对话框，选项框等界面控制，对算法进行演示。需要在应用系统中实现的算法及功能包括： 1、图像增强算法 （1）灰度线形变换：亮度及对比度可以调节（通过控制参数的改变，能够实时预览变化结果）； （2）直方图均衡：可在界面上对比均衡前后的效果。 2、图像变换算法 （3）对一幅彩色图像进行DCT变换和反变换，对比结果和原图； （4）仅保留左上角16X16的DCT系数，进行反变换，计算结果图的信噪比SNR。 3、图像分割算法 （5）采用最优阈值算法对灰度图像进行分割； （6）用Canny算法对灰度图像进行边缘检测； （7）用hough变换，检测边缘图像中的直线，并用不同颜色将检测出的直线叠加显示到原图像上。 (Preparation of a user interface with Matlab programming tools, applications, menus, dialog boxes, option boxes and other interface control, the algorithm demo. Algorithms and functions that need to be achieved in the application system including: 1, the image enhancement algorithm (1) gray linear transformation: the brightness and contrast can be adjusted (by controlling the change of the parameters, it is possible to real-time preview changes result) (2) Histogram equalization : contrast before and after equalization effect in the interface. 2, an image transformation algorithm (3) for a color image DCT transform and inverse transform, comparing the results and the original (4) to retain only the upper left corner of 16x16 DCT coefficient, the inverse transform, the signal-to-noise ratio SNR calculation results of FIG. . 3, image segmentation algorithm (5) The optimal threshold algorithm to gray-scale image segmentation (6) Canny algorithm for edge detection of gray-scale images ()

说明：  travelling salesman problem using matlab

自己写的模拟动态避障，基于局部信息的，障碍物包括一个静态一个动态，可以运行(Self-written simulation of dynamic obstacle avoidance, based on local information, obstacles include a static and a dynamic, can run)

说明：  本程序实现了短数据序列不同窗函数的welch功率谱估计，然后又求了他们的平均标准差，从而判断各个窗函数的优劣。只要稍作修改就能实现不同信噪比下的功率估计，同时也可以实现长数据序列的估计。(This procedure has a short data series of different welch window function power spectrum estimation, and then seek their average standard deviation, and thus to determine the merits and demerits of each window function. As long as we can with some slight modifications under different signal to noise ratio power estimate, but also the realization of a long data sequence can be estimated.)

说明：  用Matlab编的BPSK程序，属于非常常用的一种程序(Matlab for BPSK with the procedures, are very commonly used in a process)

chua matlab model simple analysis A solution of these equations (I3,V2,V1)(t) starting from an initial state (I3,V2,V1)(0) is called a trajectory of Chua s oscillator. This function uses a RungeKutta integration method optimised for the chua paradigm Reference: ABC - Adventures in Bifurication & Chaos ... Prof M.P Kennedy 1993