k_means-algorithm

说明：  对一幅图像的进行小波包分解，然后提取每一层的系数(image of a pair of wavelet packet decomposition, and then extract the coefficient of each layer)

this file can help new commer in this feild

通信网中，经过对分析的编程仿真，对爱尔兰B公式以及爱尔兰C公式有了更深的认识，也对通信业务分析的方法也加深了理解，并且利用Matlab GUI 编程验证了算法的正确性。(Communication network, through simulation analysis on programming, Ireland Ireland B formula and the formula C a deeper understanding of methods for the analysis of communication services also deepened the understanding and use of Matlab GUI programming to verify the correctness of the algorithm.)

PSO-LSSVM负荷预测程序,程序非常的详细规范，适合初学者(PSO-LSSVM Load Forecast)

FSK frequency shif keying simulation with matlab and Quadrature amplitude modulation QAM 16

关于非线性离散系统辨识！还不错的东西，自己课设的东西！(Identification of nonlinear discrete systems!)

A PIV Post-processing and data analysis toolbox(The PIVMat Toolbox for Matlab contains a set of command-line functions to import, post-process and analyse 2- and 3-components vector fields from PIV (particle image velocimetry), stereo-PIV, DIC (digital image correlation) SS (synthetic schlieren) or BOS (background-oriented schlieren) applications. Main Features: - Import vector fields from PIV (Particle Image Velocimetry) or other related technics, such as DIC (Digital Image Correlation), SS and BOS (Synthetic Schlieren and Background-oriented Schlieren). - Compatibale with files from DaVis (LaVision), DPIVSoft (Meunier & Leweke), VidPIV (Oxford Laser), MatPIV and Optical Flow. - Standard vector field operations: interpolation, filtering (median, Butterworth...), averaging (temporal, spatial, azimuthal...), derivatives computation (vorticity, divergence, strain, Q-factor...) - Fully vectorized: all operations directly apply on arrays of fields (no for loops) - More than 60 functions with full on-line documentation sampl)

三参数模型 系统辨识 自己编写的通过了测试，并写了论文(The three-parameter model system identification adopted their own written)

这是在研究神经网络的过程中，自己编写的用于模式识别的MATLAB源代码，相信对于神经网络的学习者有帮助，其中也给了测试数据！ (This is the study of neural networks in the process of their preparation for the MATLAB source code for pattern recognition, neural networks and I believe that learners be helpful, which also gave the test data!)

matlab如何与vb进行混合编程的案例，还包括部分计算方法的matlab实现(application example of matlab and VB)