pskmod1

fcnFrostFilter performs noise filtering on an image based on an adaptive filter proposed by Frost. [1] V. S. Frost, et al., "A Model for Radar Images and Its Application to Adaptive Digital Filtering of Multiplicative Noise," IEEE Trans. Pattern Anal., Machine Intell., vol. 4, no. 2, pp. 157-166, Mar. 1982.

互功率谱求时延，并且统计了时延值和这个时间点的最大功率(Crosspower seek latency, and latency statistics and the time value of the maximum power point)

有关soi的资料，matlab对其各种特性进行仿真(Information about soi matlab simulation of its various characteristics)

jQuery imgarea v0.9,它是一款图像裁切专用的选区插件,它本身并没有图像裁切功能,只是生成一个类似选区的虚线框,拖动四角可以调整选区大小,可以拖动整个选区移动,高亮显示被选择的图像区域，用法有很多种，具体请下载示例包，源码爱好者整理有示例文件，一看便知。(jQuery imgarea v0.9, it is a special constituency image cropping plugin, which itself does not have image cropping functionality, but dashed box generates a similar constituency, constituency size can be adjusted by dragging the corners, you can drag to move the entire selection highlight the selected image area, there are many usage details, please download the sample package, source enthusiasts have a sample file sorting, at a glance.)

说明：  这个是KPCA核主成分分析的代码，好用，里面也带有范例(This is the KPCA kernel principal component analysis code, which is easy to use and also contains examples.)

考虑了基站通过多个中继与多个用户的问题，基于背包问题提出了最优功率分配。(the optimal power allocation is presented based on knapsack problem for a system with a base station communication with multiple users assisted by multiple relay.)

本资源主要对矩阵分解中的LU分解、LDL’分解、乔列斯基分解，以及无约束最优化领域中的最速下降法、牛顿法、拟牛顿法的原理、步骤和算法进行了简要介绍，并对各种方法进行了Matlab编程实验，得到了较好的结果。 本资源包含了《矩阵分解及无约束最优化方法的原理和应用简介》文档以及其中用到的全部Matlab程序，非常适合初学者学习与研究。(The resources are mainly in the matrix decomposition LU decomposition, LDL decomposition, Cholesky decomposition, and unconstrained optimization field steepest descent method, Newton s method, the principle of quasi-Newton methods, procedures and algorithms are briefly introduced, and various methods of Matlab programming experiment, get a better result. This resource contains a matrix decomposition and unconstrained optimization methods Introduction to the principles and applications which uses all the documents and Matlab program, ideal for beginners learning and research.)

基于Hopfield神经网络对符号进行识别。 根据符号点阵创建并训练网络，使网络达到稳定状态，用随机带噪声的符号测试训练的网络。 (Hopfield neural network based recognition of symbols. Lattice under the symbol creation and training network, the network reaches a steady state, the symbol of random noise test with the training network.)

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 )

对光纤系统中的NRZ时域和频域特性进行了描述，值得一看(fiber NRZ system of time-domain and frequency domain characteristics of the description of an eye-catcher)