2d-logistic-regression-demo.tar

Zero-forcing Equalizer

说明：  人脸检测，基于肤色信息的皮肤区域粗检。自适应高斯模型，(Face detection, skin region based on color information, rough inspection. Adaptive Gaussian model)

预测控制DMC算法，欢迎交流，简单明了。(programming for model-prediction control )

matlab源程序,用Sobel算子和拉普拉斯对图像锐化(Matlab source code, image sharpening of Sobel operator and Laplasse )

小波包分析提取振动信号中的特征频率，计算十字叉丝的在不同距离的衍射图像,可直接计算得到多重分形谱。( Wavelet packet analysis to extract vibration signal characteristic frequency, Calculation crosshairs diffraction image at different distances, It can be directly calculated multi-fractal spectrum.)

灰色预测程序，采用GM(1,1)模型建立(Grey prediction program)

界面响应鼠标事件，左键或者右键单击，移动，双击(Interface response mouse events, the left key or right-click, move, double click)

标准矩形阵列的波束方向图切面的极坐标图，均匀加权：（a）phai=0度或90度；（b）phai=45度。(Polar plot of uniformly weighted rectangular array)

Simulate queueing In queueing theory, a discipline within the mathematical theory of probability, an M/M/1 queue represents the queue length in a system having a single server, where arrivals are determined by a Poisson process and job service times have an exponential distribution. The model name is written in Kendall s notation. The model is the most elementary of queueing models[1] and an attractive object of study as closed-form expressions can be obtained for many metrics of interest in this model(In queueing theory, a discipline within the mathematical theory of probability, an M/M/1 queue represents the queue length in a system having a single server, where arrivals are determined by a Poisson process and job service times have an exponential distribution. The model name is written in Kendall s notation. The model is the most elementary of queueing models[1] and an attractive object of study as closed-form expressions can be obtained for many metrics of interest in this model)

remote sensing image fusion based on Brovey transform on matlab