Commercial_Airplane

很好的matlab教程，适合初学者用，很有帮助~(Matlab tutorials good for beginners to use, very helpful ~)

下面是我编的一个软硬阈值去噪的matlab程序 下面是我编的一个软硬阈值去噪的matlab程序：thr=sigma*(2*lgN)1/2/lg(j+1) 用[x,xn]=wnoise(2,10,6) 产生噪声测试数据-The following is Part I of a of hard and soft threshold denoising matlab procedure is the following hardware and software, I made a threshold denoising matlab program: thr = sigma* (2* lgN) 1/2/lg (j+1) by [x, xn] = wnoise (2,10,6) noise test data(thr=sigma*(2*lgN)1/2/lg(j+1) 用[x,xn]=wnoise(2,10,6) 产生噪声测试数据-The following is Part I of a of hard and soft threshold denoising matlab procedure is the following hardware and software, I made a threshold denoising matlab program: thr = sigma* (2* lgN) 1/2/lg (j+1) by [x, xn] = wnoise (2,10,6) noise test data)

关于Matlab的的PPT，对于初学者来说简单易懂，老师也可以做课件。(On Matlab' s the PPT, easy to understand for beginners, the teacher can do courseware.)

遗传算法工具箱，英国谢菲尔德大学有一套自己的遗传算法工具箱，比MATLAB默认功能强大一些(Genetic algorithm toolbox, the university of Sheffield has its own genetic algorithm toolbox, MATLAB default powerful than some )

Econmic matlab program for the ideal test functions

全面学习matlab的ppt基础教程，入门必备(The basis of a comprehensive study of the matlab ppt tutorial, beginners must)

将彩色图像，转化到Lab空间，利用K-means类聚对图像进行分割(The color image is transformed into Lab space, the use of the class of K-means poly image segmentation)

DOA估计中的延迟相加法，经典的传统方法，写学位论文必用，毕设必备。(DOA estimation of the delay additive method, the classic traditional methods, writing a dissertation must be used, complete set essential. )

vessel models and control engg

Abstract There are a number of interesting variable selection methods available beside the regular forward selection and stepwise selection methods. Such approaches include LASSO (Least Absolute Shrinkage and Selection Operator), least angle regression (LARS) and elastic net (LARS-EN) regression. There also exists a method for calculating principal components with sparse loadings. This software package contains Matlab implementations of these functions. The standard implementations of these functions are available as add-on packages in S-Plus and R. Keywords LASSO, LARS, SPCA, Matlab, Elastic Net, Sparse, Sparsity, Variable selection