kmeans

MATLAB2010的教程，电子书籍，很详细(MATLAB2010 tutorials, e-books, very detailed)

雅可比迭代法解方程 高斯法解方程 查值法曲线拟和 2-9次方曲线拟和(Jacobi Iteration Method Solution of Equation of Gauss equation curve fitting method investigations and 2-9 power curve fitting and)

实现对视频的三维重建和simulink仿真，对子系统进行封装(To achieve the three-dimensional reconstruction and simulink video simulation package on the subsystem)

有两个程序一个是关于frft的源程序，一个是应用frft对线性调频信号进行检测的程序，原理是以变换阶数（不同的分数阶域）为变量对观测信号进行分数阶变换，形成信号能量在时频平面上的二维分布，在此平面上按阈值进行峰值点的二维搜索即可检测线性调频信号并估计其参数。(There are two procedures one on frft the source, one application frft linear FM signal detection process, the principle is to transform the order of (different fractional domain) as the independent variables on the observed fractional signal change, the formation of signal energy in two-dimensional time-frequency plane distribution in this plane, the peak threshold value by two-dimensional linear FM signal can be detected search and estimate its parameters.)

小波神经网络的时间序列预测-短时交通流量预测,MATLAB的经典算法(Wavelet Neural Network Time Series Prediction- term traffic flow forecasting, MATLAB classical algorithm)

matlab linear phase FIR four type amplitude

用于进行小波时频分析的matlab源码,可进行测井小波时频划分!(Used in wavelet time-frequency analysis of the matlab source code, can be divided into time-frequency wavelet logging!)

免疫粒子群算法，这种免疫粒子群优化算法结合了粒子群优化算法具有的全局寻优能力和免疫系统的免疫信息处理机制，并且实现简单，改善了粒子群优化算法摆脱局部极值点的能力。(Immune particle swarm algorithm, this immune particle swarm optimization PSO combines the global optimization ability of the immune system and immune mechanisms of information processing algorithm, and the simple, to improve the PSO' s ability to get rid of the local extreme points .)

matlab数字图象处理的主要源码，对初学者很有帮助(digital image processing matlab main source code, very helpful for beginners)

该程序是matlab代码编写。其内容为一种改进的基于峭度的盲源分离开关算法。可用于语音信号处理及数字图像处理等领域。(Matlab code of the program is written. It contains an improved kurtosis-based blind source separation algorithm switch. Can be used for voice signal processing and digital image processing and other fields.)