ATK-Framworker

A matlab file for the beginners which is very useful

说明：  MATLAB判断矩阵检验一致性和求权重,简单而有效(The MATLAB judgment matrix test consistency and seeking weight)

Invariant Generalised Hough Transform, also with a function for Maximal supression and a function for better edge detection.

针对图片或视频数据的眼睛区域的检测，以及眨眼的检测确定人脸区域的程序。 份关于智能图像增强的美国专利，对图像处理感兴趣的朋友可以看一下。(Tracking learning)

PSIM9.0,风力发电控制，PSIM很好用的，电力电子仿真的话(PSIM9.0, wind power control, PSIM well used, the words of power electronic simulation)

make the simple game of life. it only uses 50 X 50 size of point and time limited system.

在采样点之间的频率响应是由各采样点的加权内插函数叠加而形成的，因而有一定的逼近误差。该误差大小取决于理想频率响应的形状，理想频响特性变化越平缓，内插值越接近理想值，逼近误差越小；反之，如果采样点之间的理想频响特性变化越陡，则内插值与理想值之间的误差越大，因而在理想滤波器不连续点的两边，就会产生尖峰，而在通带和阻带就会产生波纹。用频率采样法设计的实际滤波器频率响应如图1所示。由图1可知，实际滤波器的阻带衰减取决于内插函数第一旁瓣幅度值的大小，其大小决定了所设计的滤波器的阻带性能。(Interpolation function superimposed between sampling points of the frequency response is weighted within each sampling point and the formation of, and thus have a certain degree of approximation error. The size of this error depends on the shape of the ideal frequency response and the ideal frequency response characteristic change is more gentle, interpolated and more close to the ideal value, the smaller the approximation errors Conversely, if the sampling point between the ideal frequency response characteristics of the steeper the change, and then the interpolated the larger the error between the ideal value, and thus in the ideal filter both sides of the discontinuity point, will produce spikes occurs ripple in the passband and stopband. Actual design frequency sampling filter frequency response is shown in Figure 1. Figure 1 shows, the actual filter stopband attenuation depending on the interpolation value of the size of the first side-lobe amplitude of the function that determin)

this code for image processing different operation performed

基于matlab 设计的滤波器程序，很实用。内容包括 FIR数字滤波器的设计、IIR数字滤波器的设计、FFT频谱分析及应用等。(wave filter of matlab )

自己的一个实验,验证频率的采样定理.即采样点数要足够大.(own an experiment to test frequency of the sampling theorem. That sampling points should be powerful enough.)