snr

this is buck inverter with pwm control

说明：  差分进化算法的示例程序，适用于刚刚开始接触这个算法的人( differential evolution)

用于地震勘探中的频率滤波程序，分析FFT及IFF的性质及其在地震勘探领域中的应用。(failed to translate)

1.采用C均值聚类算法对男女生样本数据中的身高、体重2个特征进行聚类分析，考察不同的类别初始值以及类别数对聚类结果的影响，并以友好的方式图示化结果。 2.采用分级聚类算法对男女生样本数据进行聚类分析。分别尝试采用身高，体重，喜欢数学，喜欢文学，喜欢运动，喜欢模式识别共6个特征，以及身高，体重2个特征进行聚类，对比聚类结果，并以友好的方式图示化结果 (1. The use of C means clustering algorithm on sample data for boys and girls in the height, weight 2 characterized in cluster analysis to investigate the initial values of the different categories and the effect on the number of classes of the clustering result, and in a friendly way of illustration result. 2. Using hierarchical clustering algorithm to male and female students sample data clustering analysis. Try both using height, weight, like math, like literature, like sports, like pattern recognition feature a total of six, as well as height, weight, two features clustering, comparing clustering results, and in a friendly way of illustration of the results)

用于线性调频信号的脉冲压缩处理程序，采用相关计算的算法进行的压缩处理(For LFM pulse compression process, using the relevant calculation algorithms for compression processing)

说明：  This code is related to the course Digital Communications. It makes a simple communication system which uses AWGN and QPSK

fft_cos_sin系数生成表，测试用，由他人提供的()

2*2 Alamouti space-time coding use MATLAB

说明：  该文件基于Matlab的GUI界面设计了6自由度串联机器人的运动学、动力学和轨迹规划的算法，用户可以计算PUMA560型的机器人的正逆运动学，正逆动力学和指定的轨迹规划，同时可以动画显示机器人点对点的运动路线。该程序可进行二次开发，用户可根据机器人模型的不同修改参数，针对自身模型进行运动学、动力学和轨迹规划的计算与仿真。(Based on the GUI interface of matlab, this paper designs an algorithm for kinematics, dynamics and trajectory planning of 6-DOF serial robot. Users can calculate the forward and inverse kinematics, forward and inverse dynamics and specified trajectory planning of PUMA560 robot. At the same time, they can animate the point-to-point motion path of the robot. The program can be redeveloped. Users can modify parameters according to different robot models, and calculate and simulate kinematics, dynamics and trajectory planning of their own models.)

说明：  在低信噪比下，基于双稳随机共振的微弱信号检测(Weak signal detection based on bistable stochastic resonance at low signal-to-noise ratio)