myGaussSeidel

Program of publication "Fast Channel Shortening with Polynomial Weighting Functions" contient 3pg of fig4,5and6

巴克码的编码程序，基础程序可以好好学习下，希望有帮助！(Barker coding procedures, based on the program can learn under, want to help!)

粒子群算法　　　函数对于适应度函数fitness对其参数，，做出不同方式的比较已测试其对函数结果影响。(Particle swarm optimization)

伊辛相变模型，广泛应用于固体物理，动力学分析。(ising phase model for solid physics.)

Simulink DSP Blockset

介绍了构造均匀设计表的好格子点算法与生成原理，以中心化偏差为均匀性测度，使用MATLAB编写了生成中心化偏差值最小的均匀设计表的计算机通用程序，通过与文献比较，验证了程序的正确性，得到了更多的均匀设计表(The principle and good lattice points designing uniform design table are introduced，the general MATLAB programs for uniform design table are proposed base on searching the minimum of uniform design table s centered L2-discrepancy. The results shows that the programs are right by comparison of the others.)

说明：  图像分割是一种重要的和关键的图像分析技术，其目的是把图像分成各具特性的区域并提取出感兴趣的部分，图像分割的结果是图像特征提取和识别等图像理解的基础。对它的研究一直是图像技术研究中的热点和焦点，提出了数以千计的不同算法，虽然这些算法大都在不同程度上取得了一定的成功，但是图像分割问题还远远没有解决，这方面的研究仍然面临很多挑战。(Image segmentation is an important and critical image analysis, the purpose is to image into regions with different characteristics and extract the interesting part, the result of image segmentation is the image feature extraction and recognition based on image understanding. Study it has been a hot spot imaging technology research and focus, made thousands of different algorithms, although most of these methods to varying degrees, achieved some success, but the image segmentation problem is far from resolved, it of research still faces many challenges.)

antenna introducation

说明：  另外一种旋转式永磁同步电动机空间矢量PWM控制算法，可以作为比较参考。(Another permanent magnet synchronous motor rotating space vector PWM control algorithm can be used as comparison reference.)

matlab编写的多示例多标记分类程序，采用miSVM算法，svm做分类器，其中附有各个调用函数，和作为例子的数据和主程序，可以运行，可以多多示例多标记样本进行分类。(matlab prepared multi-instance multi-label classification procedures, using miSVM algorithm, svm do classifier, which function with each call, and as an example of the data and the main program, you can run, you can sample a lot of examples of multi-label classification.)