resource_allocation

MRF的例子程序,该程序用Matlab进行编写的，对图像进行MRF的处理，可以用于分割分类等(markov random field)

direct torque control of bldc with low torque ripple

rbf神经网络的matlab程序,运算时间短,程序简单(rbf neural network matlab procedures, computing time is short, simple procedures)

for system identification

离散迭代，对于离散系统，进行多次迭代，得到最终的准确结果(Discrete iteration)

学自控的人应该好好看看哦！直接用其强大的函数功能。(good!)

用matlab编程，实现了资源调度算法。(With the matlab programming,it can solve resource scheduling algorithm。)

本压缩文件是用matlab实现图像模糊恢复，代码超级详细，有实例。(The compressed file image blur restoration with matlab, the the super detailed code, there are instances.)

The basic steps of the connected-component text extraction algorithm are given below, and diagrammed in Figure 10. The details are discussed in the following sections. 1. Convert the input image to YUV color space. The luminance(Y) value is used for further processing. The output is a gray image. 2. Convert the gray image to an edge image. 3. Compute the horizontal and vertical projection profiles of candidate text regions using a histogram with an appropriate threshold value. 4. Use geometric properties of text such as width to height ratio of characters to eliminate possible non-text regions. 5. Binarize the edge image enhancing only the text regions against a plain black background. 6. Create the Gap Image (as explained in the next section) using the gap-filling process and use this as a reference to further eliminate non-text regions the output.

说明：  一个简单的线性插值实例可以运算利用数值分析的函数(A simple linear interpolation example of computing the use of numerical analysis can be a function of)