Ctftb-beta01

用MATLAB编写，采用som网络，来进行归类（随机初始权值）(Written with MATLAB, using som networks to classified (random initial weights))

说明：  在LabVIEW中应用MATLAB进行信号处理(signal processing by matlab in labview!)

Double_buck_PI_Control.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(Double_buck_PI_Control.rar,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

本课设完成的是任意信号卷积的运算,并且绘制图象.(For the completion of this lesson is that any signal of the convolution operator, and rendering images.)

白中英的计算机组成原理（第二版），很经典的。(Bai Zhongying of Computer Organization (second edition), very classic.)

table look up in fuzzy system

利用prewitt、sobel、roberts边缘检测器进行边缘检测(Use prewitt, sobel, roberts edge detector for edge detection)

单个矢量传感器的波束仿真，并且波束的方向可以任意调整。(A single vector sensor beamforming simulation, and the direction of the beam can be adjusted.)

Fast mex K-means clustering algorithm with possibility of K-mean++ initialization (mex-interface modified from the original yael package https://gforge.inria.fr/projects/yael) - Accept single/double precision input - Support of BLAS/OpenMP for multi-core computation Please run mexme_yael_kmeans.m to compile mex-files (be sure that mex -setup have been done at least one) Run demo "test_yael_kmeans.m"(Fast mex K-means clustering algorithm with possibility of K-mean++ initialization (mex-interface modified from the original yael package https://gforge.inria.fr/projects/yael) - Accept single/double precision input - Support of BLAS/OpenMP for multi-core computation Please run mexme_yael_kmeans.m to compile mex-files (be sure that mex-setup have been done at least one) Run demo "test_yael_kmeans.m")

说明：  基于粒子群算法求解低速车辆模型的非线性模型预测控制问题(The nonlinear model predictive control problem of low-speed vehicle is solved based on particle swarm optimization (pso))