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[matlab] gm_tool DL : 0: 灰色预测工具箱。特性： 0 数据预处理，替换掉一些不符合条件的点：如连续相等的点 1 选择最好的c进行平移变换 2 残差太大的，剔除坏点 3 最后使用新陈代谢灰色模型求解（xcdxgm11）函数： ccfx.m:残差分析 gm11.m:一般的灰色预测工具 xcdxgm11.m:新陈代谢灰色预测工具-Grey toolbox. Features: 1 Data preprocessing, replace the points that do not meet the criteria: If a continuous point equal to 2 to select the best translation transformation c 3 residuals too much, remove dead pixels 4 final model was solved using the metabolism of gray (xcdxgm11) Function: ccfx.m: residual analysis gm11.m: normal gray prediction tools xcdxgm11.m: metabolism gray prediction tools
Date : 2025-12-23 Size : 3kb User : 佳佳
[matlab] ipower DL : 0: Keyboard-controlled interactive power spectrum demonstrator, useful for teaching and learning about the power spectra of different types of signals and the effect of signal duration and sampling rate. Single keystrokes allow you to select the type of signal (12 different signals included), the total duration of the signal, the sampling rate, and the global variables f1 and f2 which are used in different ways in the different signals. When the Enter key is pressed, the signal (y) is sent to the Windows WAVE audio device. Press K to see a list of all the keyboard commands. T. C. O Haver
Date : 2025-12-23 Size : 4kb User : nivalis
[matlab] dama DL : 0: 选择最佳的 SVM 参数 c&g [bestacc,best g] = SVMcross (train_DGA_labels,train_DGA,2,20,4,24) - Select optimal SVM parameters c & the g [bestacc bestc bestg] = SVMcross (train_DGA_labels train_DGA, 2,20,4,24)
Date : 2025-12-23 Size : 9kb User : 王博
[matlab] crossvalidation_svm DL : 0: matlab编写的调整svm参数的程序，其中cross是主程序，另两个是自己编写的svm核函数，如果要用matlab自带的核函数就把-t的值改成2即可。Ytrain是标记矩阵，Xtrain是特征矩阵，都由用户自己导入。可利用k倍交叉验证来选择最优的c参数。k可自行更改。-svm matlab prepared to adjust the parameters of the program, which cross the main program, and the other two are themselves prepared svm kernel function, if you use the value of the kernel function matlab own put-t can be changed to 2. Ytrain is labeled matrix, Xtrain is characteristic matrix, imported by the users themselves. K-fold cross-validation can be used to select the optimal c parameter. k can make changes.
Date : 2025-12-23 Size : 1.65mb User : wang
[matlab] emd程序和安装 DL : 0: 1、首先下载emd工具箱。下载后解压放在matlab的work工作路径下package_emd文件夹。 2、打开matlab，选择File- Set Path- Add with Subfolders-你刚才下载的工具箱（package_emd）点进去- Save- Close。 3、此时选择work下package_emd文件夹作为工作路径，即是C:\Program Files\MATLAB\R2010a\toolbox\package_emd。 4、在Command Window里面输入mex -setup回车，问是否选择已有的编译器你选y回车，再问选择哪个编译器，你可以选择C++的那个选择相应的编号（如 2）回车，然后让你核对是否选择对了编译器等等，你输入y回车。就安装成功了(This EMD program is programmed in MATLAB 1, download the EMD toolbox first. After downloading, unzip the package_emd folder under the work work path of MATLAB. 2, open MATLAB, select File- Set Path- Add with Subfolders-the toolbox (package_emd) you have just downloaded - Save- Close. 3, at this time, select the package_emd folder under work as the work path, that is, C:\Program Files\MATLAB\R2010a\toolbox\package_emd. 4, Command Window mex -setup y enter enter enter, you choose to ask whether the choice of compiler, ask which compiler, you can select the corresponding C++ number (such as 2) enter, and then let you check whether the choice of the compiler, you enter y. The installation was successful)
Date : 2025-12-23 Size : 97kb User : 马达兔
[matlab] Color Reduction and Quantization DL : 0: Color Reduction and Quantization using k-Means, Fuzzy Clustering (FCM), and SOM Neuarl Network in MATLAB In this post, we are going to share with you, the MATLAB implementation of Color Quantization and Color Reduction of images, using intelligent clustering approaches: (a) k-Means Algorithm, (b) Fuzzy c-Means Clustering (FCM), and (c) Self-Organizing Map Neural Network. The implemented code, uses RGB and HSV color coding, to perform the clustering task, and user can select desired approach of coding.
Date : 2025-12-23 Size : 243kb User : amardz