test_main

harmonic distorsions in matlab

图形图像处理方面的一些经典例子，其中包含了8个具有指导意义的图形图像范例。(Graphic image processing aspects of some of the classic examples.)

此程序为机器人位置正反解程序，可用此程序求出解析解(This procedure for robot location inverse solution procedures, use this procedure to derive analytical solutions)

一片关于横向裂纹转子振动特性研究的文章,一片关于横向裂纹转子振动特性研究的文章(A transverse crack on the vibration characteristics of the rotor research paper)

Nivada之CUDA，加速Matlab运算的文档资料。(Nivada of CUDA, speed up the Matlab computing documentation.)

理解Fisher准则方法确定最佳线性分界面方法的原理，以及拉格朗日乘子求解的原理(Fisher criterion to determine the best way to understand the interface methods of linear theory, and the principle of Lagrange multipliers to solve)

详细介绍了自适应滤波器的瞬态性能及其实现过程。(Details of the transient performance of the adaptive filter and its implementation process.)

a demo of implementing SVM Classifier

Locally-Linear Embedding (LLE)[9] was presented at approximately the same time as Isomap. It has several advantages over Isomap, including faster optimization when implemented to take advantage of sparse matrix algorithms, and better results with many problems. LLE also begins by finding a set of the nearest neighbors of each point. It then computes a set of weights for each point that best describe the point as a linear combination of its neighbors. Finally, it uses an eigenvector-based optimization technique to find the low-dimensional embedding of points, such that each point is still described with the same linear combination of its neighbors. LLE tends to handle non-uniform sample densities poorly because there is no fixed unit to prevent the weights from drifting as various regions differ in sample densities. LLE has no internal model.

Reduce the number of data points using a spanning tr(Reduce the number of data points using a spa nning tr)