PIM-fuzzy-c-means

在matlab中，利用全局阈值对图像进行图像分割，得到有用的区域(Global threshold image in matlab for image segmentation, get useful area)

Designing a low pass IIR filter

利用matlab软件，用m文件实现信号的psk调制解调。(Using matlab software, with the realization of m document psk modem signals.)

在电机调速应用中设计的三相电流滞环比较法(Motor speed control applications in the design of the current hysteresis in comparison )

matlab ti5000系列DSP基于模型设计的例程，simlink+ccs+硬件直接可以生成C语言代码，在硬件中可以直接运行。(matlab ti5000 series DSP can generate C code model-based design routines, simulink+ ccs+ hardware, you can run directly in hardware.)

间接解耦内模控制，可以克服多变量内模控制间的耦合现象(Indirect decoupling internal model control, can be overcome internal model control of multi-variable coupling between the)

根据手机号码判断城市，需要手机号码7字段对应城市的信息。(According to cell phone number to determine the city, needed a mobile phone number 7 corresponds to the city' s information field.)

协作通信中的af-df转发源码，matlab版本 (Cooperative communications forward in af-df source, matlab version)

In this paper, we introduce a new machine-learning-based data classification algorithm that is applied to network intrusion detection. The basic task is to classify network activities (in the network log as connection records) as normal or abnormal while minimizing misclassification. Although different classification models have been developed for network intrusion detection, each of them has its strengths and weaknesses, including the most commonly applied Support Vector Machine (SVM) method and the Clustering based on Self-Organized Ant Colony Network (CSOACN). Our new approach combines the SVM method with CSOACNs to take the advantages of both while avoiding their weaknesses. Our algorithm is implemented and evaluated using a standard benchmark KDD99 data set. Experiments show that CSVAC (Combining Support Vectors with Ant Colony) outperforms SVM alone or CSOACN alone in terms of both classification rate and run-time efficiency.

遗传算法及其改进(Genetic algorithm and its improvement)