Introduction-to-CDMA

基于MATLAB对模拟非线性调制系统的仿真和性能分析(Based on the simulation of MATLAB simulation and performance analysis of nonlinear modulation system)

Example of solution of the problem of robot driving along the wall

说明：  简单的Grid Search法，是与斐波那契、黄金分割、二分法相比较最简单的求最小值的方法(simple grid search method)

Relaying and orthogonal frequency division multiple access (OFDMA) are the accepted technologies for emerging wireless communications standards. The activities in many wireless standardization bodies and forums, for example IEEE 802.16 j/m and LTE-Advanced, attest to this fact. The availability or lack thereof of efficient radio resource management (RRM) could make or mar the opportunities in these networks. This paper therefore provides a comprehensive RRM algorithm for OFDMA-based multi-cellular fixed relay networks in a way to ensure fairness among users with minimal impact on the network throughput (in contrast, pure opportunistic RRM techniques always favor users with good channel conditions

jpeg decoder in matlab

说明：  三相三线并联型有源电力滤波器模型，可完美运行仿真结果。(Three-phase three-wire shunt active power filter model can run the simulation results perfectly.)

kriging（克里金）插值方法，参照2011年国赛建模A题前两问。(kriging (kriging) interpolation method, with reference to 2011 model A country race before the two asked questions.)

惯性导航系统仿真用来描述导航系统的导航方法，最后做出一系列的仿真图形来判断导航的效果。(Inertial navigation system is a common kind of navigation system.It is widely used in a lot of fields including military and civil applications.)

draws lines when two or more points are selected on the image

将K均值算法用于图像分割,输入的是彩色图像,转换为灰度图像进行分割,输出结果为灰度图像.利用灰度做为特征对每个像素进行聚类,由于光照等原因,有时应该属于一个物体的像素,其灰度值也会有很大的差别,可能导致对该像素的聚类发生错误.在分割结果中,该物体表面会出现一些不同于其它像素的噪声点,因此,算法的最后,对结果进行一次中值滤波,以消除噪声,达到平滑图像的作用(The K means algorithm for image segmentation, the input is a color image, convert to grayscale image segmentation, the output of grayscale images. The use of gray as the characteristics of each pixel clustering, due to light and other reasons, and sometimes should belong to an object pixel, its gray value will also be very different, may lead to clustering of the pixel error has occurred. in the segmentation results, the surface, there would be different from other pixel noise points, so , the algorithm Finally, the results of a median filter to eliminate noise, to the role of smoothing the image)