CKF

this file is the program for ofdm

LG Monitor user s guide L1730S&L1930S

This function is about optimization by conjugate method

In this paper, we show how support vector machine (SVM) can be employed as a powerful tool for $k$-nearest neighbor (kNN) classifier. A novel multi-class dimensionality reduction approach, Discriminant Analysis via Support Vectors (SVDA), is introduced by using the SVM. The kernel mapping idea is used to derive the non-linear version, Kernel Discriminant via Support Vectors (SVKD). In SVDA, only support vectors are involved to obtain the transformation matrix. Thus, the computational complexity can be greatly reduced for kernel based feature extraction. Experiments carried out on several standard databases show a clear improvement on LDA-based recognition

说明：  这是基于吴和黄的的研究进而得到"percenta"的方法(This is used to obtain the "percenta" line based on Wu and Huang)

pulse code modulation using u-Law

matlab中粗糙集属性约简的决策树分类的方法以及如何建立和使用决策树代码(decision tree)

prova de sistemas web

Optical communication budget

Closed loop: Magnetic Levitation animation