Gaussian-beam-and-fiber-coupling

该函数用来计算时间序列的最大Lyapunov 指数--Wolf 方法(The function used to calculate the time series of the largest Lyapunov index- Wolf Ways)

关于MATLAB很基础，但是不错的一本电子书的PPT，适合初学者。(Very foundation, suitable for beginners. A good book.)

偏微分方程的MATLAB解法，能快速求解，阐述了其编程思想，很实用(Solution partial differential equations )

利用SVM做回归线性测试。对于大盘指数的有效预测可以从整体上观测股市的变化提供强有力的信息，所以对上证指数的预测很有意义。通过对上证指数从1990.12.20-2009.08.19每日的开盘数进行回归分析，最终拟合的结果是：均方误差MSE=2.35705 e-005，平方相关系数 R=99.9195 。SVM的拟合结果还是比较理想的。(Make use of SVM linear regression testing. For the market index can predict the observed changes in the stock market as a whole to provide a strong information, so it makes sense to predict the Shanghai index. Through the Shanghai Composite Index opened daily from 1990.12.20-2009.08.19 number of regression analysis, the results of the final fit are: mean square error MSE = 2.35705 e-005, the square of the correlation coefficient R = 99.9195 . SVM fitting result is quite satisfactory.)

合成孔径雷达点目标仿真程序（MATLAB程序）(Synthetic aperture radar point target simulation program)

完整的C语言编写的带通滤波器 运行成功并在matlab上检验 (Bandpass filter runs successfully complete C language and tested in matlab)

The channel estimation algorithm is based on a subspace approach. The method works only for identifiable STBCs (excluding >=1-rate STBCs). See publication [1] for more detail about the algorithm and the identifiability conditions. The zip file contains three m files. - space_time_coding.m (perform space time coding) - subspace_channel_estimation_STBC.m (channel estimation) - one_shot.m (show an example) To use these files, extract the three files in the same folder. Then, call the script one_shot in the matlab command window. Reference: [1] Ammar, N. Ding, Z. "Blind Channel Identifiability for Generic Linear Space-Time Block Codes" IEEE Transactions on Signal Processing Volume 55, Issue 1, Jan. 2007 Page(s):202 - 217(The channel estimation algorithm is based on a subspace approach. The method works only for identifiable STBCs (excluding >=1-rate STBCs). See publication [1] for more detail about the algorithm and the identifiability conditions. The zip file contains three m files. - space_time_coding.m (perform space time coding) - subspace_channel_estimation_STBC.m (channel estimation) - one_shot.m (show an example) To use these files, extract the three files in the same folder. Then, call the script one_shot in the matlab command window. Reference: [1] Ammar, N. Ding, Z. "Blind Channel Identifiability for Generic Linear Space-Time Block Codes" IEEE Transactions on Signal Processing Volume 55, Issue 1, Jan. 2007 Page(s):202- 217)

hppc实验的数据分析，重要参数的提取，本代码适用于二阶等效电路，可以计算其中的串联电阻，并联的RC电路中的参数的值是多少，另外可以提取相应的每一个步骤所对应的开路电压，电流，以及对应的实验的时间。(hppc experimental data analysis, extraction of important parameters, the code for the second equivalent circuit can be calculated as one of the series resistance of the parallel RC circuit of the value parameter, the other can extract the corresponding corresponding to each step The open circuit voltage, current, and time of the corresponding experiments.)

给出了隶属度函数求故障标准差和均值的程序，此程序能够很好的对故障识别做出曲线比较。(It could give standard deviation and mean and compare different faults though figure. )

说明：  此程序实现构造Daubechies小波基,求解小波尺度函数离散整数点的值和实现尺度函数经伸缩后的离散值采用双尺度方程求解小波基函数(The Program for Daubechies wavelet construction, solving the discrete wavelet scaling function and implementation of an integer point value after scaling function by the expansion of discrete values using the two-scale wavelet basis function equation)