QAM1rician

用matlab实现2psk比较详细，从二进制码到成型滤波到最终2psk信号都能成功实现(Using matlab to achieve 2psk in more detail, the binary code to the final 2psk signal shaping filter can be successfully achieved)

this is matlab code for pprobality theory which is implemetatde in matab 7,6

利用Matlab语言编写的流体计算的源代码，里面包含了几个实例(The source codes are written by Matlab, which contains several examples about CFD)

基于量子的粒子群优化算法,该算法通过粒子群有量子的行为，提高了算法的寻优能力，增强了算法的全局搜索能力，有效的避免了“早熟”问题。(Quantum based particle swarm optimization algorithm.The algorithm improves the searching ability of the algorithm by quantum behavior of particle swarm, and enhances the global searching ability of the algorithm, and effectively avoids "premature" problem.)

Lattice Boltzmann LBE模型在二维多孔介质流体渗流中的应用，基于geometry: D2Q9, model: BGK(Simple, yet simplistic, Lattice Boltzmann (LB) MATLAB implementation. D2H9, BGK, omega = 1, laminar flow in a 2D channel used as benchmark. Requires Image Processing Toolbox. )

采用matlab编写的灰色预测代码，有gm11，versult，以及其改进形式(By using the grey prediction code, matlab prepared with gm11, versult, and its improved form)

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.)

Decomposition EEG to its 5 Sub-bands using Wavelet

Plots the AVaR versus different confidence levels given a Profit-Loss vector. It calculates AVaR assuming a Gaussian distribution for the P/L vector.

this code for shift factor