lsqcurvefitting

指纹识别系统VC和matlab实现:包涵VC和matlab实现源码！(Fingerprint Identification System VC and matlab implementation: bear with VC and the matlab implementation source!)

这是改进的蚁群算法，比传统的蚁群算法更简易，图像分割速度也快很多！(This is the improved ant colony algorithm, more than the traditional simple ant colony algorithm, image segmentation speed is much faster!)

对心率变异性（HRV）曲线进行时域分析时候，主要参数SDNN，SDANN，SDNN_INEDX等的matlab计算程序。(On heart rate variability (HRV) curve when the time-domain analysis, the main parameters SDNN, SDANN, SDNN_INEDX etc. matlab calculation program.)

一个基于matlab的计算3-6根连杆机器人运动学正解的程序，通用性强，直接复制粘贴就可以成为你自己的程序！(Based on a calculation program matlab 3-6 root link robot forward kinematics and versatility, copy and paste can be your own program!)

用Baum-Welch算法来迭代估计一个隐马尔科夫模型（HMM）的初始状态概率分布以及其状态转移概率矩阵。其中文件有mainfile_B_W.m为主函数，Baum_Welch.m为Baum-Welch算法迭代函数，Forward_variable.m与Backward_variable.m与Gamma_variable.m与Ksi_variable.m是需要计算的四种因子，B_pdf.m为混淆散射概率密度函数。(It s Baum-Welch algorithm for iteratively estimating the initial states probability distribution and state transition probability matrix. In the folder, "mainfile_B_W.m" is the main function, and "Baum_Welch.m" is the iteration Baum-Welch function. Also these four file "Forward_variable.m " "Backward_variable.m" "Gamma_variable.m" "Ksi_variable.m" are used for calculating crucial factors. "B_pdf.m" is the emission probability distrubution function.)

关于MATLAB的一些应用实例，是新手的可以进来看看(With regard to some application examples of MATLAB is a novice can come take a look at)

说明：  相控阵天线六边形阵与矩形阵方向图，圆形喇叭天线方向图(Phased array antenna array and hexagonal array pattern of rectangular, circular horn antenna)

说明：  小波阈值滤波去噪算法中，使用的软硬阈值函数、改进半软阈值函数及示例(In wavelet threshold filtering denoising algorithm, the soft and hard threshold function, improved semi soft threshold function and examples are used)

用matlab实现的最大化负熵的独立分量分析方法，作了正交化处理，可以同时分离出所有的独立分量（无噪声条件下）(Using matlab to achieve the maximization of the negentropy method of independent component analysis, orthogonal made of processing, can be isolated from all of the independent component (no noise))

本代码是基于MATLAB的模糊pid的仿真程序，经测试可以运行。(The code is based on the MATLAB simulation of the fuzzy pid process can run through the test.)