QPSK

本试验是用数字基带处理方法来实现调试期算法的基带硬件实验。 通过用软件matlab进行了GMSK相位路径和眼图的仿真,之后对任何一种五位随机码，每周期八次的任一抽样时刻，和任一相位区域(0、1、2、3)的任一组合，计算出相位 ，并对 以及 进行1024位的量化、编码成10位二进制码表。进一步利用matlab从上述的码表得出GMSK基带波形的眼图，和理论上计算的眼图比较，一致性很好。(眼图主程序) (This test is a method to realize the digital baseband processor debugging phase algorithms with hardware-based experiments. By using the software matlab a GMSK phase path and the eye diagram of the simulation, after any one of five random code, eight times per cycle of any one sampling time, and any one-phase region (0,1,2,3) of any combination of one to calculate the phase, and 1024 as well as quantitative, encoded into a binary code table 10. Further use of matlab code from the above tables GMSK baseband waveform eye diagram and eye diagram theoretically compared to a good consistency. (Eye diagram of main program))

说明：  用于对基于GOLD码的串行捕获算法，可以自定义信噪比，待捕获信号参数，代码分成搜索跟踪和捕获两部分，其中搜索的步长等参数也可以自定义，代码中acquiresignal.m部分为最终捕获相位展示的主程序。(For the serial acquisition algorithm based on GOLD code, we can customize the signal-to-noise ratio and the parameters of the signal to be captured. The code is divided into search part and capture part, The parameters such as search step can also be customized. Acquiresignal.m part is the main progress to output the results of the capture of phase.)

LTE CRC校验码 MATLAB仿真 上行共享信道编解码 仿真方案(LTE CRC checksum MATLAB simulation)

说明：  雷达目标跟踪matlab源程序 希望对大家能够有所帮助(Radar target tracking matlab source hope we can help)

matlab编写的turbo码示例程序，用于通信系统的信道编解码仿真(matlab prepared turbo code sample procedures for communication system simulation channel codec)

关于FASTICA算法的完整应用程序，其中有图像版(FastICA algorithm on a complete application, which has the image version)

包括载波跟踪和伪码相位跟踪，用Matlab实现直接序列扩频信号的跟踪程序。(Including pseudo-code tracking and carrier phase tracking using Matlab implementation of direct sequence spread spectrum signal tracking procedures.)

说明：  M序列的调制 ，很好用 ，大家可以下来看看。(M sequence modulation, a very good use, we can look down.)

说明：  基于次优贝叶斯估计的非线形非高斯条件下的粒子滤波器的MATELAB仿真(based Bayesian estimation of non-linear non-Gaussian under the conditions of the particle filter simulation MATELAB)

用K-means算法对数据进行聚类分析，得到不同K值情况下的聚类结果并绘制出了J-K关系图。(The K-means algorithm is used to cluster the data, and the clustering results are obtained under different K values. The J-K relation graph is drawn.)