5_mathematical_morphology

Model Predictive Control Exercise pt 3

说明：  数据分析在matlab中的实现其中包含matlab数据分析的特点(Data analysis in matlab in the realization of which contains the characteristics of data analysis matlab)

说明：  qpsk调制解调的生成程序，用MATLAB语言实现(keying modulation and demodulation production procedures, using Matlab)

相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点： (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好(Relevance Vector Machine (RVM) of the matlab source code, including fast algorithm that contains code for use. RVM support vector machine is taken the same functional form sparse probabilistic model to predict the unknown function or classification. Advantages: (1) is not only the amount of output predicted target point estimates, but also the distribution of predicted values ​ ​ can be output. (2) using a smaller number of support vectors, thereby significantly reducing the output target amount predicted value calculation time. (3) RVM does not require excessive parameter estimation. (4) RVM meets Mercer theorem on the kernel function is not limited, and better adaptability)

说明：  此程序是计算电力系统潮流的通解，通过支路法不断更新参数(This procedure is the general solution of the power flow calculation, continuously updated through the branch method parameters)

啁啾和高斯为初值的光孤子传播的非线性薛定谔方程快速傅里叶算法求解，3D图(Chirp and Gaussian for initial value soliton propagation of nonlinear Schrodinger equation fast Fourier algorithm for 3D Figure)

z源逆变器简单升压控制的另一种改进的算法及仿真例程，只需改变占空比即可实现直流侧电压的改变，相对于传统的算法简单，更容易理解。(Z source inverter simple boost control of another kind of improved algorithm and simulation routines, only need to change the duty cycle of dc side voltage change can be realized, compared with the traditional method is simple, easy to understand. )

基于matlab将商标与文字分割，选定阀值，先进行次分割，在进一步优化(Matlab-based trademarks and text segmentation, the selected threshold, the first for sub-division, in further optimization)

implement opticalflow

经典论文PDF“Analysis K-SVD: A Dictionary-Learning Algorithm for the Analysis Sparse Model”及其工具箱，对学习K-SVD很有帮助(Classic paper PDF " Analysis K-SVD: A Dictionary-Learning Algorithm for the Analysis Sparse Model" and its toolbox, useful for learning K-SVD)