Matlab-simulation

利用灰色模型实现灰色预测，这可以用比较少的数据就能实现预测(Gray model gray prediction, which can use less data will be able to achieve the forecast)

说明：  去噪方法 EMD和小波去噪 降低数据波动(Denoising Method, EMD and Wavelet, to reduce the fluctuation of data)

利用Matlab仿真软件，完成如图1所示的一个基本的数字通信系统。信号源产生0、1等概分布的随机信号，映射到16QAM的星座图上，同时一路信号已经被分成了实部和虚部，后边的处理建立在这两路信号的基础上。实部、虚部信号分别经过平方根升余弦滤波器，再加入高斯白噪声，然后通过匹配滤波器（平方根升余弦滤波器）。最后经过采样，判决，得到0、1信号，同原信号进行比较，给出16QAM数字系统的误码。(Using Matlab simulation software, as shown in Figure 1 to complete a basic digital communications systems. Signal source such as arise over the distribution of 0,1 random signal, is mapped to 16QAM constellation diagram, at the same time all the way the signal has been divided into real and imaginary parts, behind the deal with the establishment of these two signals in the basis. Real part, imaginary part of the signal, respectively, after a square root raised cosine filter, then add white Gaussian noise, and then through the matched filter (square root raised cosine filter). Finally, after sampling, the verdict has been 0,1 signal, to compare with the original signal is given 16QAM digital system error.)

基于人工神经网络的信号预测在Matlab中的研究与实现，有具体的例题，同时包含详细的m文件代码(Signals based on artificial neural network prediction in Matlab, research and implementation, with specific examples, while m-file code contains detailed)

该程序为：持续法、基于最小二乘的线性回归、时间序列以及灰色理论等预测方法对风电功率进行超短期预测(Ultra- short- term prediction of wind power)

matlab/simulink组建汽车整车仿真平台，有详细说明(matlab/simulink formed vehicle simulation platform, has a detailed description)

说明：  这是MATLAB数值分析里面的小程序，不知道怎样描述好！(matlab)

为了实现DOA和时延的联合估计,提出了一个无线通信中高分辨率的联合角度和时延估计方法,该方法不需要对参数进行搜索,利用空时矩阵的特征向量和特征值分别估计DOA和时延,通过特征值和特征向量的对应关系,估计的参数可以自动实现配对, 只要各路径信号的DOA和时延不同时接近此方法都可以适用,与JADE-MUSIC,JADE-ESPRIT和SI-JADE算法相比,该算法具有较好的鲁棒性和较小的估计误差。仿真结果证明了该算法的有效性。 (In order to achieve the joint estimation of DOA and delay, proposed a wireless communications joint angle and high resolution delay estimation method, the method does not require parameters to search using the space-time matrix eigenvectors and eigenvalues​ ​ , respectively, and the estimated DOA delay, by the correspondence between eigenvalues ​ ​ and eigenvectors, the estimated parameters can be automatically paired DOA and delay of each path as long as the signal is not close to this same method can be applied, with the JADE-MUSIC, JADE-ESPRIT and SI-JADE algorithm, the algorithm has better robustness and smaller estimation error. The simulation results show the effectiveness of the algorithm.)

高斯混合模型用于混合像元分解全过程，包括训练样本选取、筛选、分解及精度评定。matlab实现(the matlab code of GMM for mixed pixels unmixing)

各种经典制导律matlab程序，不错的学习参考资料(Matlab program of classical guidance law, good learning reference)