Attentional-Landmark-Selection

FAST corner detector

根据查找边缘发二值化图像，确定图形质心的位置。(According Find Edges hair binary image, to determine the location of the centroid graphics.)

Triangle.m: 2D finite element model design tool

STL(Standard Template Library)是C＋＋标准庫的一部分（80 ），是用C＋＋ Template机制来表达泛型的庫(Standard Template Library )

接收端采用的算法和程序流程与发送端发送的OFDM符号的帧结构有关系。具体的帧结构，以及定时估计，频偏估计，剩余误差跟踪的算法可参考算法说明文档。这里对程序的流程进行说明。 首先根据短训练字的特性进行相关运算，进行信号到达检测，当检测到相关值大于门限一定次数后，认为有信号到达。然后根据长训练字的特性，进行相关运算，进行OFDM符号FFT窗口起始位置的估计。估计出FFT窗口的位置后，先在时域进行小频偏的估计，将两个长训练字进行小频偏补偿后，进行FFT运算，根据FFT运算的结果进行整数倍频偏的估计。这些参数估计完成后，就可以进行数据解调了。先对数据部分进行完整的频偏补偿，然后根据估计的FFT窗口位置进行FFT运算得到频域的数据，进行解调。然后在对应于导频的子载波位置上提取出导频信息，根据导频信息估计出剩余定时误差以及剩余的信道响应误差，将误差量送入环路进行跟踪。当收到所有数据后，重新回到信号到达检测状态，进行下一次信号到达的检测和信号接收。 (The receiving end uses the algorithm and the program flow and the frame structure of the OFDM symbol transmitted by the sending end. Specific frame structure, and timing estimation, frequency offset estimation, residual error tracking algorithm can refer to the documentation. Here to illustrate the process of the program. First, according to the characteristics of the short training word correlation operation, the signal reaches the detection, when the correlation value is greater than the threshold of a certain number of times, that there is a signal to reach. Then, according to the characteristics of the long training word, the correlation operation is carried out, and the initial position of the OFDM symbol FFT is estimated. The estimated position of the FFT window, first in the time domain for small frequency offset estimation, two long training word for small frequency offset compensation, the FFT operation. According to the result of FFT for integer frequency bias estimation. Af)

关于非局部均值去噪的典型例子，里面有详细注解，很实用(Typical examples of non-local means on de-noising, which has detailed notes, it is practical)

永磁同步电机的自抗扰控制仿真模型,采用了速度电流环控制。(Simulation model of active disturbance rejection control for permanent magnet synchronous motor)

哈夫曼编码源程序，可以用于数据压缩的用处(Huffman source coding, data compression can be used for the usefulness of)

LMS自适应算法 自适应横向滤波器两个权值，输入随机信号r（n）的样本间相互独立，且它的平均功率为Pr =E[r2(n)]=0.01，信号周期为N=16个样点。求最佳权向量解ω0和收敛因子μ的取值范围，并分别汇出ω(0)=[0 0]T，μ=0.1及ω(0)=[4 -10]T，μ=0.05时，两种情况下的权值变化轨迹和第一种情况下误差e(n)与迭代次数n的关系曲线。(LMS adaptive algorithm The right value of the change trajectory)

医学图像处理第二版 罗述谦老师编写的，特别适合初次接触医学图像处理的同学学习，涉及的内容很宽泛，讲解很详细，这是我的导师推荐给我的入门书籍，很受益。希望大家也可以学到很多(Medical Image Processing 罗述谦 teacher preparation, especially for the initial contact with the students learning medical image processing, covering the very broad to explain in great detail, which I recommend to my mentor introductory books, very beneficial. I hope we can all learn a lot)