PSO

降维工具箱，包含主元分析（PCA）,核主元分析（KPCA）等。(Dimensionality reduction kit, including principal component analysis (PCA), Kernel Principal Component Analysis (KPCA) and so on.)

SIMULATING THE LONG TERM EVOLUTION PHYSICAL LAYER

针对非圆信号DOA估计问题,提出了一种基于实值特征值分解 (Eigenvalue decomposition,EVD)的求根MUSIC算法.首先利用非圆信号为实值信号的特点,将阵列上的接收数据及其共轭用欧拉公式转换为实值正弦与 余弦数据,然后将正弦与余弦数据进行串联,从而扩展了数据维数.由于采用实值矩阵的EVD,因此在EVD阶段的运算量简化为复值EVD的1/4.根据 EVD后获得的信号与噪声子空间的特点,对噪声子空间和导向矩阵进行重构以便于可以使用求根MUSIC算法获取对DOA的估计.仿真实验验证了本文算法的 有效性(For the estimation of noncircular signals of DOA, proposes a decomposition value based on real valued features (Eigenvalue decomposition, EVD) the root MUSIC algorithm. Firstly, characteristics of non circular signals for real valued signals, the array data and its conjugate with the Euler formula into real value of sine and cosine and sine and cosine data. The data series, thus expanding the dimension of the data. Because of the use of real valued matrix computation in EVD, so the EVD stage was simplified as a complex valued EVD 1/4. according to the characteristics of signal and noise subspace is obtained after EVD, the noise subspace and orientation matrix reconstruction in order to facilitate the use of DOA can obtain the estimated root MUSIC the algorithm. The simulation results verify the effectiveness of the proposed algorithm)

说明：  很好的扩张滤波算法 精度高 时间短 适合导航运算(The expansion of good short time filtering algorithm for high precision navigation operations)

Matlab guide for fundamental research in communication

说明：  matlab6.5辅助小波分析与应用例程(matlab6.5 wavelet analysis and application of auxiliary routines)

PSO算法优化BP神经网络，数学建模模拟退火算法的改进(PSO algorithm to optimize the BP neural network, mathematical modeling simulated annealing algorithm improve)

偏微分图像处理MATLAB程序 (包括水平集插值等插值方法）(MATLAB partial differential image processing programs (including the level set interpolation interpolation methods))

CT程序重建，根据傅立叶变换radon变换进行CT投影重建(CT Graph reconstruction)

本包内为 WORD 文档，内涵四个程序代码，分别是利用BP网络和指数平滑法，对数据进行预测用的(WORD documents within the package, meaning the four program code, respectively, the use of BP networks and exponential smoothing, forecasting the data)