dtcandsvm

用于算法的 迭代，方便初学者直接查找。更可以灵活运用(For iteration, easy for beginners to find directly. More flexibility to use)

完整的轮廓线演化程序，国外优秀代码，图像处理或者数值计算相关方向应该有用(The complete contour evolution process, outstanding foreign code, image processing or related to the direction should be useful for numerical calculation)

雷达回波信号的高精度一维距离像分析，功能较完整，适合初学者(the high-resolution range profile analysis of radar echos, which is complete and is suitable for beginners)

Alamouti transmit diversity

信号与系统时频分析及Matlab的应用，设计z变换、fft变换、拉普拉斯变换等(Time-frequency signal and system analysis and Matlab applications, design of the z-transform, fft transform, Laplace transform)

Jakes模型对衰弱信道进行仿真 在仿真时，先定义一个模型，再在主函数中调用这个模型，下面是主函数的程序(Jakes model debilitating channel simulation)

利用matlab工具，实现了计算数值计算中的不动点法的程序解法(put the one way of fixed dot method of compute canculating into practice with the tool of MATLAB)

tls 算法 解决带系数矩阵的问题比LS算法在误差校正方面更有优势(tls algorithm to solve the problem with the coefficient matrix more advantages than the LS algorithm in terms of error correction)

02. 宽带采样信号侦察实验 —————————————— Matlab: specgram, pwelch函数 Cooledit软件 测试数据：FMT_INT16_FS_100M.dat，采样率100MHz，数据格式INT16 例程：Demo_STFT.m (02. 宽带采样信号侦察实验 —————————————— Matlab: specgram, pwelch函数 Cooledit软件 测试数据：FMT_INT16_FS_100M.dat，采样率100MHz，数据格式INT16 例程：Demo_STFT.m ——————————————)

这是天津大学胡清华老师在粗糙集邻域领域做的最经典的源码，同学们可以在此基础上学习和修改，入口程序已经写好，需要其他方法可以自己添加，MAIN.m是入口程序，参数的意思在子函数里讲的很明白，调用了featureselect_FW_fast.m用来属性约简，几个clsf_dpd文件是使用不同的距离公式来计算属性重要度，选择得到属性结果，使用crossvalidate.m十折交叉算法来计算计算算法精度，该段代码调用了几个分类器，C4_5.m是决策树，KNN.m是最近邻分类器，NEC.m是类似于KNN的胡修改的程序，osu_svm3.00文件夹是使用svm分类器调用的文件，使用该分类器时，代码中间的路径需要修改。另外附上一堆常用的数据集。(This is Hu Qinghua teacher at Tianjin University neighborhood rough set field do the most classic source code, students can learn and modify On this basis, the entry procedures have been written, you need other ways to add your own, MAIN.m entry program is meaning parameters Functions talked in very clear call for the featureselect_FW_fast.m attribute reduction, several clsf_dpd file is to use a different formula to calculate the distance attribute importance, choose properties to get the results, use crossvalidate.m ten fold cross algorithm to calculate the accuracy of the calculation algorithm, the segment code calls several classifiers, C4_5.m is a decision tree, KNN.m is the nearest neighbor classifier, NEC.m is similar to KNN Hu modified program, osu_svm3. 00 folders using svm classifier called file, using the classification code in the middle of the path need to be modified. Also attach a bunch of common data sets.)