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对图像添加盐噪，设计一滤波器滤除盐噪声； 本人初学matlab，想有机会了解到更多的源代码，馆长给我机会啊(Add salt to the image noise, design a noise filter to filter out salt my novice matlab, would like to have the opportunity to learn more of the source code, the director for giving me the opportunity ah)

基于smi的自适应波束成形,本程序给出了基于smi算法的自适应波束成形(Based the smi adaptive beamforming, the program gives the the SMI algorithm-based adaptive beamforming)

本文件包含Metropolis算法对函数进行抽样;显示生成样本的相关图和直方图. 其中文件：metropolis_hastings.m该文件包含4个示例，用于通过Metropolis-Hastings算法对复杂函数进行抽样，显示生成样本的相关图和直方图。metropolis_hastings2.m 包含一个例子，用于通过Metropolis-Hastings算法对双变量高斯PDF进行采样，显示生成样本的相关图和直方图，以及其轮廓和边缘PDF的函数等。(This program develops a very basic example, for the sampling of functions by means of Metropolis algorithm; showing the correlograms and the histogram of the generated samples. metropolis_hastings.m. This file contains four examples, for the sampling of complex functions by means of Metropolis-Hastings algorithm, showing the correlograms and the histograms of the generated samples. In this case the proposals PDF its no longer symmetric. Additionally, the burn-in period, the lag period and the Geweke test have been implemented.It needs the "MH_routine.m" function. metropolis_hastings2.m. This file contains one example, for the sampling of a bivariate Gaussian PDF by means of Metropolis-Hastings algorithm, showing the correlograms and the histograms of the generated samples, and the function with its contours and marginals PDF. Additionally, the burn-in period, the lag period and the Geweke test have been implemented.)

精通matlab（北航张志涌，本书既可作为理工科院校研究生、本科生系统学习的教材，又可以作为广大科技工作者掌握和精通 MATLAB 的自学用书和使用手册。(Proficient in matlab (BUAA Zhang Yong))

说明：  信道为高斯信道的OFDM信道估计仿真。基于matlab(Channel is Gaussian channel OFDM channel estimation simulation. Based on matlab)

PowerFactory入门教程，比较基础，例子丰富，很实用，入门者可以下来学习一下。(PowerFactory Getting Started Guide, the basis of comparison, examples of rich, very practical, beginners can learn about it.)

基于累计量(SHIBBS)的实信号盲分离算法(Based on the cumulative amount of (SHIBBS) the real signal separation algorithm)

用于信号处理中的峰值检测，里面有demo，可以直接运行(peak finder)

(1)针对在线计算量大这一缺陷，将预测控制中的柔化输出信号的思想推广到柔化输入信号，使得约束条件被简化为仅对当前控制量的约束，可以直接计算得出；同时该方法避免了求逆矩阵，大大减小了计算量，并能够保证控制算法的可行性和良好的控制性能。 (2)针对传统算法中设计参数整定困难这一缺点，应用基于BP神经网络变参数设计的广义预测控制算法，实现了对控制量柔化参数的在线调整。 (3)利用带有遗忘因子的最小二乘法对系统辨识。本文通过仿真发现该方法对于Hénon混沌系统并不完全适用，可考虑利用其他优化系统辨识的方法对本方法进行改进，以期达到更好的辨识效果。 (4)针对系统稳定性分析复杂，本文在控制增量前加入前馈因子，保证所选的Lyapunov函数使闭环系统满足Lyapunov稳定判据，由此证明闭环系统稳定。 (1. To solve the problem of GPC huge computation, algorithm with input increment constraints is presented in which the concept of output softness was used to soften the input increments．As a result, the constraints are simplified to be the only one constraint on the current control increment which can be computed directly. At the same time, it needn’t computing the inverse matrix and thus reduces large computation. Moreover, it guarantees the feasibility of the algorithm and has good control performance． 2. To overcome the difficulty in the choice of tuning parameters in traditional GPC, a GPC algorithm with variable parameter design based on BP neural network. is presented，in which the input softness parameters are tuned on line. 3. In this paper, we Identify system by using the least square method with forgetting factor. However, after system simulation, we realize that this method doesn’t fit the Hénon chaotic system perfectly. So we recommend modify this method by other Optimizati)

说明：  matlab实现霍夫曼编码，计算编码效率并分析结果(matlab huffman code)