for_example

说明：  偏微分方程在图像处理中的应用代码,有图片及大量代码。(This program implement image interpolation by AMLE method. Firstly, get a number of level sets from an input image by thresholdding. The threshold values are chosen automatically. Then the boundaries for each level set are extracted, the image data on the boundaries are recorded. Finally, by using AMLE, extend those imformation to reconstract a new image, which will approximate the original one quitr well.)

用随机信号作为SAR的发射信号！体现在距离向的分辨率具有明显优势！(SAR emission signal as a random signal. Reflected in the distance to the resolution has obvious advantages.)

线性调频信号的脉冲压缩处理及图像的分析，非常简介的程序(Linear FM pulse compression signal processing and image analysis, the procedure is very Profile)

小波分析，可用于气象分析等图形分析，毕业论文(Wavelet analysis can be used for weather analysis, graphical analysis, Thesis)

WIMAX调试，其性能概述，模块组合以及系统参数(WIMAX debugging, performance overview, module combination, and the system parameters)

研究了重频参差相参脉冲串的频率估计算法。通过脉内相关积累，提高了新序列的信噪比。对新序列的相位差按参差重数抽样平均，减小了等效的相位噪声方差，利用重频参差比解相位模糊，扩大了频偏允许范围，降低了算法的信噪比门限。分析了本算法实现相参频率估计的条件，推导了相应信噪比门限的解析表达式，指出了信噪比门限与信号样本总数、参差重数、参差比之阎的关系。仿真结果表明：上述结论是正确的，在满足信噪比门限条件下，频率估计的精度接近相参脉冲串频率估计的克拉美一罗限(CRLB)。(Frequency Estimation for Staggered Coherent Pulse Train)

KNN k s nearest neighbor algorithm(KNN k' s nearest neighbor algorithm)

风力发电机的传动链模型，四模块模型，高速轴、低速轴与风机、发电机柔性连接(Wind turbine drive chain model, the four modules model, high-speed shaft, low speed shaft and fan, generator flexible connection)

pid controller optimization with partical swarm optimization technique along with pid model mdl file

最小均方算法lms在波束形成中的应用　　LMS算法步骤： 　　1,、设置变量和参量： 　　X(n)为输入向量，或称为训练样本 　　W(n)为权值向量 　　b(n)为偏差 　　d(n)为期望输出 　　y(n)为实际输出 　　η为学习速率 　　n为迭代次数 　　2、初始化，赋给w(0)各一个较小的随机非零值，令n=0 　　3、对于一组输入样本x(n)和对应的期望输出d，计算 　　e(n)=d(n)-X^T(n)W(n) 　　W(n+1)=W(n)+ηX(n)e(n) 　　4、判断是否满足条件，若满足算法结束，若否n增加1，转入第3步继续执行。(Lms least mean square algorithm applied in Beamforming )