programs

说明：  MIMO通信系统 使用matlab描述和仿真(MIMO communication system description and simulation using matlab)

详细介绍在光纤激光中的传播常数的相关研究的matlab计算(Details the calculation of the propagation constant in the fiber laser Matlab)

svm工具箱，程序与应用实例 scaleForSVM:归一化 pcaForSVM:pca降为预处理 fasticaForSVM:ica降为预处理 等(svm toolbox, procedures and application examples)

Kalman 滤波和平滑工具箱，包括了1. Kalman 滤波和平滑 2. EKF 和 平滑 3. CKF 和平滑 4. UKF 和平滑 5. GHQF 和平滑 6. IMM 滤波和平滑 (EKF/UKF is an optimal filtering toolbox for Matlab. Including: 1. Kalman filters and smoothers 2. Extended Kalman filters and smoothers 3. Unscented Kalman filters and smoothers 4. Gauss-Hermite Kalman filters and smoothers 5. Cubature Kalman filters and smoothers 6. Interacting Multiple Model (IMM) filters and smoothers)

光学工程很有用的有限元优化问题解，能轻松快速的进行工程类的和光学类的优化处理(Useful in optical engineering finite element solutions of optimization problems can be quickly and easily and optical engineering optimization class)

Weighted ELM for imbalanced datasets - Weighted-ELM W. Zong, G.-B. Huang, and Y. Chen, “Weighted extreme learning machine for imbalance learning,” Neurocomputing, vol. 101, pp. 229-242, 2013.

The function computes the basic harmonic of the signal, in the form: x(t) = amp*cos(w*t - ph) + (higher Harmonics) These values are typically useful in power systems, audio signal processing, and other related fields.(The function computes the basic harmonic of the signal, in the form: x(t) = amp*cos(w*t - ph) + (higher Harmonics) )

matx_processor 是MATLAB基础教程中的源程序(A matrix processor, Matx_Proc() is developed which can be used to process and edit matrices and state space models, and perform various kind of matrix analysis in a visible way. The graphical user interface facilities are extensively used to make such a program very easy and flexible to use)

这里包含了几种用matlab编的神经网络的程序(Here includes several series using matlab neural network procedures)

主要是matla中的snake算法的一些模板套路，像是snakedeform、snakedisp、gaussianMask等(The snake is mainly matla some templates algorithm routines, such snakedeform, snakedisp, gaussianMask etc.)