juheng

说明：  此算法为最小二乘参数估计的递推算法。运行后得到辨识参数：a1= -1.4981, a2= 0.7038, b1= 1.0476, b2= 0.4704。(The algorithm for the recursive least squares parameter estimation algorithm. After operation to identify the parameters: a1 =-1.4981, a2 = 0.7038, b1 = 1.0476, b2 = 0.4704.)

这个与上一个是连着的matlab程序，是lorenz.rar的一部分。(This with a connection for the matlab, is part of the lorenz. Rar is.)

基于人工噪声的协同通信系统安全性研究，计算系统的误码率(Cooperative communication system based on artificial noise safety studies, computing system ber)

电磁测深法原理-朴化荣,这是一本电磁法测深的基础书籍，适合新手。。(The principle of electromagnetic method)

基于matlab的OFDM仿真程序； 我再论坛找了很多OFDM的代码和文章,但总有遗患,为什么呢原因是大部分只有简单的映射,IDFTDFT变换等等,但主要的同步和信道估计去没有人提出来,甚至做出来.. 现在我终于找到了一份,它以FUNCTION的形式,再现了OFDM映射,IDFTDFT,同步(时间频率同步)和信道估计,以及频率偏移的估计等一系列代码.(Based on the OFDM matlab simulation program I' ll find a lot of forums and articles OFDM code, but there are left suffering, why because most only simple mapping, IDFTDFT transformation, etc., but the main synchronization and channel estimation to no one proposed, and even do it .. and now I finally found a copy of it in the form FUNCTION, Reproduction of OFDM mapping, IDFTDFT, synchronous (time and frequency synchronization) and channel estimation, and the estimated frequency offset a series of code.)

对原始的KMeans聚类算法进行改进，使得算法可以自动确定参数K值。(An improved KMeans clustering is proposed to determine the values of parameter K.)

几种图像处理源码 程序代码说明 P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波 P0309：运用5种不同的梯度增强法进行图像锐化 P0310：图像的高通滤波和掩模处理 P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理 P0312：利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理 (err)

研究在频域补零对时域的影响，研究其性质，对实际应用很有帮助(Zero padding of the study in the frequency domain of the influence on the time domain, to study the nature, the actual application helpful)

数据互联算法。绘制出了目标真是轨迹、测量轨迹、PDAF估计轨迹和NNSF估计轨迹，并进行了对比分析。(Data Association Algorithm. Drawn out of the goal really track the trajectory measurements, PDAF estimated trajectory and NNSF estimated trajectory, and a comparative analysis.)

基于三层结构的光纤Bragg光栅基本模（LP01）的截至频率测试程序，欢迎拍砖