spctr

FIR滤波器的设计——使用Matlab和CCS(FIR filter design used matlab and ccs)

基于MATLAB的times_two详解，主要解决的是times_two的问题(Based on MATLAB-times_two explain, the main problem lies in the question of times_two)

The Sugeno-Takagi-like fuzzy controller: This controller is a two input one output fuzzy controller The first input is the error=x The second input is the error_dot=y(time derivative of the error) The output of the fuzzy controller is the CHANGE in the control action and NOT the control action.

VC跟Matlab混合编程 VC与Matlab案例1.256色转灰度图2.对比度拉伸3.二值化变换4.反色5.灰度均衡6.亮度增减7.取对数8.取指数9.图像镜像10.图像平移11.阈值变换12.直方图均衡VC程序(VC mixed with Matlab and Matlab programming VC color to grayscale 125.6 cases 2. Contrast stretching 3. Binarization transformation 4. Counter-color 5. Grayscale balance 6. Brightness change 7. Check on the number of 8. Check index 9. Image mirror 10. Image Shift 11. thresholding transform 12. histogram equalization procedure VC)

Simulink files: · HeaterTest.mdl Heater test model in Simulink(Requires HdataM) · TSKHeater.mdl Heater control using TSK alg(Requires HdataM,HdataF,HdataTd) · MamdaniTest.mdl Simple Mamdani test model(Requires Mdata) · Mamdani9Test.mdl 9 rule Mamdani test model(Requires Mdata) · Mamdani25Test.mdl" 25 rule Mamdani test model(Requires Mdata25) · EngineTest.mdl Vehicle engine test model in Simulink(Requires VdataM,VdataC) · MamdaniVehicle.mdl Vehicle control via simple Mamdani FLC(Requires VdataM,VdataF) · Mamdani9Vehicle.mdl Vehicle control via 9 rule Mamdani FLC(Requires VdataM,VdataF) · Mamdani25Vehicle.mdl Vehicle control via 25 rule Mamdani FLC(Requires VdataM,VdataF25) · OptimalVehicle.mdl Vehicle control via simple LQ alg(Requires VdataM,VdataC)

用于生成雷达回波的程序。主要在雷达仿真时使用。(It mainly implement the clutter for radar simulation)

当物体表现出最讯息时有最大的乱度。 当Entropy最大，影像有最大的讯息。(objects displayed at the most messages have the greatest degree of chaos. When the maximum entropy, images have the greatest message.)

用matlab实现画出基本概率密度函数的相位，能量，实部等的功能(Using matlab to achieve basic probability density function of the draw phase, energy, real function of such)

Genetic algorithm feature selection by using SVM

基于灰度梯度最大熵的分割方法，先通过聚类进行改进做初分割然后再进行细分割。(Segmentation of gray gradient based on maximum entropy, first through the clustering is improved. At first, then the fine segmentation segmentation.)