teager

线性鉴别分析方法，数据降维，图像处理，模式识别(LDA)

说明：  MATLAB，从入门到精通，经典教材。PDF，高清版，有很多实例。(MATLAB, entry to the proficient, classic textbook.)

自适应rls的算法仿真，最后图包括学习曲线，误差权矢量(Rls adaptive algorithm simulation, the final plan, including the learning curve, the error weight vector)

matlab编写的meanshift程序，在南加州大学例例程的基础上做了修改，在初期学习meanshift上非常有用 (matlab prepared meanshift procedures routine in the University of Southern Callifornia made the basis of changes in the initial study is very useful meanshift )

ARCOBJECTs开发指南,实例的资源文件(ARCOBJECTs Development Guide, a resource document for example)

demo OceanOptics communication systems.

a matlab .m file describing a function acts as high pass filtr on an image

Canny edge detector algorithm matlab codes This part gives the algorithm of Canny edge detector. The outputs are six subfigures shown in the same figure: • Subfigure 1: The initial "lena" • Subfigure 2: Edge detection along X-axis direction • Subfigure 3: Edge detection along Y-axis direction • Subfigure 4: The Norm of the image gradient • Subfigure 5: The Norm of the gradient after thresholding • Subfigure 6: The edges detected by thinning

simulated annealing code of dejong function (simulated annealing code of dejong function)

压缩感知程序源码，Blind compressed sensing (BCS)不需要在采样和恢复阶段预先知道稀疏基。源码对于研究压缩感知前沿具有很好的借鉴意义。(The fundamental principle underlying compressed sensing is that a signal, which is sparse under some basis representation, can be recovered from a small number of linear measurements. However, prior knowledge of the sparsity basis is essential for the recovery process. Blind compressed sensing (BCS) avoids the need to know the sparsity basis in both the sampling and the recovery process. That is, BCS aims at recovering an ensemble of vectors, all sparse under the same unknown basis, given small number of linear measurements of these vectors. )