mimo

说明：  天线方向图dbf程序，包括line\circle\array的程序。(antenna pattern dbf)

说明：  自己收集的一些MATLAB程序 simulink 模型(some MATLAB program simulink)

在计算机上产生一组实验数据，首先产生一段零均值白噪声数据u（n）,令功率为 ，让u(n)通过一个三阶FIR： 得到y(n). .y(n)上加三个实正弦信号f1’=0.1,f2’=0.25,f3’=0.26调整 和正弦信号幅度信噪比大致为10dB,50dB,50dB. (1) 令N=256,描绘xn波形； (2)得出真实功率谱密度 . (3) 利用此实验数据Pisarenko谐波分解法估计该实验数据的正弦频率及幅度。 (On the computer to generate a set of experimental data, first generate a zero mean white noise data u (n), so that power, let u (n) through a third-order FIR: get y (n).. Y (n) added three real sinusoidal signal f1 ' = 0.1, f2' = 0.25, f3 ' = 0.26 and sine signal amplitude adjustment signal to noise ratio is approximately 10dB, 50dB, 50dB. (1) that N = 256, depicted xn waveform (2) the true power spectral density obtained. (3) using this experimental data, Pisarenko harmonic decomposition method to estimate the experimental data of the sinusoidal frequency and amplitude.)

power_svpwm.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_svpwm.rar, Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

基于异步电机的风力机模拟，采用matlab/simulink仿真。(Based on wind turbine simulation of induction motor using matlab/simulink simulation.)

说明：  本书作者从实践出发，结合大量数据挖掘工程案例及教学经验，以真实案例为主线，深入浅出地介绍数据挖掘建模中的有关任务：数据挖掘、数据预处理、分类与预测、聚类分析、时序预测、关联规则挖掘、智能推荐、偏差预测等。(The author of this book starts from practice, combines a large number of data mining engineering cases and teaching experience, and uses real cases as the main line to explain the relevant tasks in data mining modeling in simple terms: data mining, data preprocessing, classification and prediction, cluster analysis, Preliminary prediction, association rule mining, intelligent recommendation, bias prediction, etc.)

MATLAB经典算法程序,包括：数据分析，方程(组)解法，插值、拟合、规划问题，绘图等功能 (Classical algorithm MATLAB program, including: data analysis, equation (group) method, interpolation, fitting, planning, mapping and other functions)

最后的测试程序，得出文本检索的正确率和召回率(In the end, the cosine similarity of texts is used to measure the similarity between the query and documents. The data comparison indicates that this algorithm has well experimental results. Moreover, it gets the advantage over the classic LSA retrieval algorithm in precision and operational efficiency.)

组合的FSK_BPSK_DPSK几种方式的集合的仿真训练内容，仅供参考，如果有价值那我会更高兴。(FSK_BPSK_DPSK combination of the methods set of simulation training content, for reference purposes only, If the value then I would be more pleased.)

复杂网络中无标度网络的matlab及C++生成代码(Complex networks of scale-free networks generated code matlab and C++)