FEM_pack

自编的神经网络的matlab程序，可以运行哦。(Self matlab neural network program, you can run, oh.)

RAVE – DataMirrorSection (passo a passo)

matlab source code for implementing watermarking techniques.

说明：  sift 由兩張圖片算出特徵點匹配演算法(sift calculated by the two pictures feature points matching algorithm)

配电网潮流计算程序，有40个节点，并且利用时下普遍的前推回代算法计算(Distribution power flow calculation program, with 40 nodes, and use nowadays generally forward and backward substitution algorithm)

说明：  多线性主成分分析的MATLAB源代码 最初用于人脸识别和步态识别 后被扩展到其他应用领域(The codes implement two algorithms: Multilinear Principal Component Analysis (MPCA) and MPCA+LDA.)

MIMO系统中VBLAST算法和破零算法仿真(VBLAST MIMO system simulation algorithm and the zero algorithm)

Simulation phase induction machine

matlab中实现tab的panel，也是从matlab论坛中得到的(implemented in matlab tab of the panel, is also derived from the matlab forum)

The shuffled complex evolution with principal components analysis–University of California at Irvine (SP-UCI) method is a global optimization algorithm designed for high-dimensional and complex problems. It is based on the Shuffled Complex Evolution (SCE-UA) Method (by Dr. Qingyun Duan et al.), but solves a serious problem in searching over high-dimensional spaces," population degeneration". The population degeneration problem refers to the phenomenon that, when searching over the highdimensional parameter spaces, the population of the searching particles is very likely to collapse into a subspace of the parameter space, therefore losing the capability of exploring the entire parameter space. In addition, the SP-UCI method also combines the strength of shuffled complex, the Nelder-Mead simplex, and mutinormal resampling to achieve efficient and effective high-dimensional optimization.