qaprandmatrixswap

基于MATLAB的确定性系统的分岔与混沌的设计程序(MATLAB-based deterministic system, bifurcation and chaos in the design process)

LDPC code, matlab, simulation

4 files are included in the package: (1) fs01.m - the 1st-order local linear approximation (LLA) very similar to algorithm by Farmer and Sidorowich (1987). Uses constrained linear least squares (lsqlin) and (2) ts1.m - to reconstruct the vectors of the state space. (3) Example.m - runs fs01 and ts1 to predict (4) composite.txt - synthetic time series of decadal average sunspot number (4 files are included in the package: (1) fs01.m- the 1st-order local linear approximation (LLA) very similar to algorithm by Farmer and Sidorowich (1987). Uses constrained linear least squares (lsqlin) and (2) ts1.m- to reconstruct the vectors of the state space. (3) Example.m- runs fs01 and ts1 to predict (4) composite.txt- synthetic time series of decadal average sunspot number )

说明：  MATLAB实现基于遗传算法的数字图像分割 采用goat工具箱(MATLAB Image Segmentation)

This function uses eigenfunction analysis to solve the matrix differential equation m*y (t)+c*y (t)+k*y(t)=f1*cos(w*t)+f2*sin(w*t) with initial conditions of y(0)=y0, y (0)=v0

一种基于几何均值分解的混合预编码技术研究(Hybrid precoding based on geometric mean decomposition)

反应扩散方程中布鲁塞尔子的模拟~反应扩散方程中布鲁塞尔子的模拟~(Reaction-diffusion equations in Brussels analog sub ~ reaction-diffusion equations in the sub-analog ~ Brussels)

改进后的基于模糊控制理论的变电站电压无功控制方法。(Improved voltage and reactive power control method based on fuzzy control theory substation.)

说明：  基于music算法的均匀圆阵方向估计，算法测试好用，可以下载(Uniform circular array direction estimation based on music algorithm. The algorithm is tested well and can be downloaded.)

　支持向量机方法是建立在统计学习理论的VC 维理论和结构风险最小原理基础上的，根据有限的样本信息在模型的复杂性（即对特定训练样本的学习精度，Accuracy）和学习能力（即无错误地识别任意样本的能力）之间寻求最佳折衷，以期获得最好的推广能力[14]（或称泛化能力）。 (SVM is based on statistical learning theory and the theory of VC dimension based on structural risk minimization principle, according to the limited sample of information in the model complexity (ie, training samples of a specific learning accuracy, Accuracy) and learning ability (ie, error-free samples to identify any capacity) to find the best compromise between, in order to obtain the best generalization ability [14] (or generalization).)