knn-softsvm-matlab

我自己编写的基于自动细胞机的图像分割算法的源程序，也叫小世界竞争算法。(I have written automated cell-based machine of the source image segmentation algorithms, but also the world叫小competition algorithm.)

污水处理的液位控制仿真模块，simulink模型和matlab,mfile文件，(waste water treatment simulation model with PID controller)

code Matlab this is frome my data base

Matlab图形图像处理函数详细列表.pdf(Matlab function )

matlab：距离方程、线性调频、雷达波形、动目标显示、脉冲压缩、编码波形、伪随机序列、SAR、RCS(matlab: from the equation, linear frequency modulation, radar waveform, moving target indication, pulse compression, encoding waveform, pseudo-random sequence, SAR, RCS)

Active approach - TOA(Active approach- TOA)

各种doa估计代码，包括均匀线阵，均匀圆阵等的估计。包含music，esprit，空间平滑等(Various doa estimation code, including ULA, uniform circular array of estimates. Including music, esprit, spatial smoothing)

This is an intuitive sudoku solver in matlab.

Its a TPMS starting program, for people who are beginning to program TPMS solutions. We are using some librarys and headers and etc but it is not in the program. So if you read it, you will be able to get directions to start your own program.

说明：  SVM用于模式识别 整理别人的代码（原来的是英文）所得： kernel.m用于内积矩阵的计算 svcplot.m用于绘图 svm168.m是主程序 testlin.m是采用线形内积函数的支持向量机应用的 文件 testrbf.m是采用RBF内积函数的支持向量机应用 的 文件 每个文件中都有说明。 仿真平台matlab7.0, 仿真全部通过 将所有文件拷贝到work目录下（注意不要直接将上层文件夹直接拷贝到work目录下，若那样操作，必须在matlab的file菜单中的set path中设置相应的路径）。 打开matlab，在命令窗口中输入 testlin或testrbf 即可查看结果。 (SVM pattern recognition for collating other people's code (the original is in English) from : kernel.m plot within the matrix for the calculation svcplot.m for graphics is the main svm168.m testlin.m procedure is used linear plot function within the SVM application documents testrbf.m RBF is using plot function within the SVM applications each file documents were described. Matlab7.0 simulation platform, all through the simulation of all the documents copied to the work directory (not directly to the attention of the upper folder directly copied to w contex directory, as if the operation, Matlab in the file menu on the set path corresponding set the path). Open Matlab, in the command window or imported testlin testrbf can see the results.)