MatlabTutorial-6-5

说明：  们讨论图像的重构。我编写的重构程序中，为了比较分解图像和重构图像，首先绘出经过小波分解的图像，然后再进行重构。在绘制分解图像和重构图像的过程中，要注意数据格式的转换。(Image Reconstruction discussed. I prepared reconfiguration process, in order to compare decomposition of images and reconstruction of images, first of all draw after a wavelet decomposition of the image, and then reconstructed. Decomposition in the rendering image and reconstructed image of the process, attention should be paid to data format conversion.)

基于汽车控制系统的系统辨识建模，基于汽车控制系统的系统辨识建模(Based on the auto control system identification system modeling)

program for fingerprint recognition using minutia The general shape of the fingerprint is generally used to pre-process the images, and reduce the search in large s. This uses the general directions of the lines of the fingerprint, and the presence of the core and the delta. Several categories have been defined in the Henry system: whorl, right loop, left loop, arch, and tented arch. Most algorithms are using minutiae, the specific points like ridges ending, bifurcation... Only the position and direction of these features are stored in the signature for further comparison.

sepic converter module simulink/matlab

国外最新的有关MATLAB方面的电子书籍，值得一读，推荐！(good book.)

matlab 小波变换 有嵌入水印部分和提取水印部分(watermarking)

详细介绍了取样光栅的matlab模拟。有文字介绍源代码的编写和使用。(Details of the sampled grating matlab simulation. With text describes the preparation and use of the source code.)

runge kutta para motor de induç ã o

heat transfer example 1a

用于分类的主判别变量算法(principal discriminant variate algorithm) ( principal discriminant variate algorithm for two classes, x1 and x2. x1 is the training samples in the 1st class with each column being the spectrum characterizing the corresponding sample. x2 is the training samples in the 2nd class with each column being the spectrum characterizing the corresponding sample. lamda is the penalty weight defining the balance between FLDA and PCA. dvnum is the number of principal discriminant variates to be computed. A defaul value for dvnum is 2. dv is the principal discriminant variates. scores is the matrix with each row being the scores of the samples on the corresponding principal discriminant variate. xmean is the mean spectra of the sample, which was used for mean-centering the data in training and prediction. )