PTSandSLM

autocorrelation matlab file

全排列矩阵，依次输入exchange swap tianchongJ即可，若想修改全排列矩阵的大小，可在MATLAB中打开tianchongJ修改J和N。 (Permutation matrix, followed by the input exchange swap tianchongJ can, if you want to modify the size of permutation matrix can be modified in MATLAB to open tianchongJ J and N.)

a really useful algorithm for face detection based on whatever you like

基于模型设计—自定义目标系统配置指南,RTW自动代码生成相关资料，对了解自动代码生成有帮助。(Model-based design- Custom target system configuration Guide, RTW automatic code generation relevant information, to help understand the automatic code generation.)

CSMA/CD(1-persistent): 当有packet需要发送时： • 如检测到信道空闲，发送packet • 如检测到信道忙，一直检测信道状态，一旦信道空闲，立即发送(CSMA/CD (1-persistent): When there is packet needs to be sent when: • If the channel is detected idle, transmit packet • If the channel is detected busy channel state has been detected, once the channel is idle, transmit immediately)

单缝衍射的光学仿真模拟，基于MATLAB语言(Single-slit diffraction optics simulation, based on MATLAB language)

可用于光伏出力预测，引入气象影响因子，效果良好(It can be used to predict PV output, and the effect is good)

说明：  基于遗传算法（GA）设计了pid控制器，仿真结果良好。(based on genetic algorithm (GA) pid controller design, simulation good results.)

说明：  单倒摆 simulink仿真文件(Single inverted pendulum simulink simulation file)

we present an improved fuzzy C-means (FCM) algorithm for image segmentation by introducing a tradeoff weighted fuzzy factor and a kernel metric. The tradeoff weighted fuzzy factor depends on the space distance of all neighboring pixels and their gray-level difference simultaneously. By using this factor, the new algorithm can accurately estimate the damping extent of neighboring pixels. In order to further enhance its robustness to noise and outliers, we introduce a kernel distance measure to its objective function. The new algorithm adaptively determines the kernel parameter by using a fast bandwidth selection rule based on the distance variance of all data points in the collection. Furthermore, the tradeoff weighted fuzzy factor and the kernel distance measure are both parameter free. Experimental results on synthetic and real images show that the new algorithm is effective and efficient, and is relatively independent of this type of noise.