immumatlab

指纹识别源码，利用梯度法求解指纹的块方向图，很好用(Fingerprint fingerprint source using gradient method with the block pattern well)

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)

说明：  （拟合） 用给定的多项式，y=x3-6x2+5x-3，产生一组数据(xi,yi，i=1,2,…,n),再在yi上添加随机干扰(可用rand产生(0,1)均匀分布随机数,或用rands产生N(0,1)分布随机数)，然后用xi和添加了随机干扰的yi作的3次多项式拟合，与原系数比较。 如果作2或4次多项式拟合，结果如何？ ((Fitting) with a given polynomial, y = x3-6x2+5 x-3, generated a set of data (xi, yi, i = 1,2, ..., n), then add a random disturbance yi ( can be generated rand (0,1) uniformly distributed random number, or rands generated N (0,1) distribution of random numbers), and then added with xi and yi for random interference of the 3 times polynomial fitting, and the original coefficient. If 2 or 4 times for polynomial fitting, the result?)

说明：  适合Matlab的初学者，主要讲了Matlab的一些基础知识，都很基本的。(Matlab for the beginner, the main speech of some basic knowledge of Matlab, very basic.)

说明：  该算法采用如下共聚类结构进行多重聚类： 1.优化地将数据集划分为多个视图。在每个视图中，对象和特征都是群集的。 2.同时分析了三类特征：高斯特征、泊松特征和范畴特征。 3.自动推断视图和簇的数量。(This algorithm carries out multiple-clustering with co-clustering structures as follows: 1.Optimally divides datasets into several views. In each view, both objects and features are clustered. 2.Simultaneously analyzes three types of features: Gaussian, Poisson and categorical features. 3.Automatically infers the number of views and clusters.)

TDOAAOA定位的扩展卡尔曼滤波定位跟踪算法Matlab源码(TDOAAOA positioning location and tracking extended Kalman filter algorithm for Matlab source code)

commande directe de couple de la machine asynchrone

BOC调制信号的简介。包括一般BOC信号和AltBOC信号。(About BOC modulation signal. Including general BOC signal and AltBOC signals.)

说明：  小波阈值去噪。对图像加噪，并进行小波1到4层分解去噪，给出信噪比走势图(Wavelet thresholding. Increase the image noise, and 1 to 4 layers of wavelet decomposition denoising, signal to noise ratio charts are given)

说明：  扩展卡尔曼滤波算法锂离子电池SOC估计中有较广泛的应用，其精度高，鲁棒性好，算法简单(The extended Kalman filtering algorithm has a wide range of applications in SOC estimation of lithium-ion batteries, with high accuracy, good robustness, and simple algorithm)