montercalor

基于云模型的评价应用研究，内容详实，有利于建模(Evaluation of applied research based on cloud model, informative, beneficial modeling)

包括turbo码编译码程序，译码算法包括sova及max-log-map算法，并有完整链路验证其性能。(including turbo coding- decoding procedures, SOVA including decoding algorithm and max-log-map algorithm, and link integrity test its performance.)

使代码框文字可以中文高亮，达到方便阅读功能(Chinese characters can make the code box highlighted, to facilitate the reading function)

L型阵下基于2D-MUSIC的二维DOA估计算法(Under the L-type array estimation algorithm based on 2D-MUSIC-dimensional DOA)

代码实现了二阶AR模型的最优权值递推，使用了LMS和RLS两种方法，对二者性能进行了比较，分别进行了单次和100次平均进行性能观察，并且仿真了不同步长因子对LMS算法的影响以及不同lamda值对RLS算法的影响。文档包含了模型的详细介绍以及2种方法的理论仿真和结果分析。代码以附在之后。(Code to achieve the optimum weights recursive second order AR model, the use of LMS and RLS are two methods were compared for the two properties, were observed and 100 times the average per-performance and simulated sync Effect of a growth factor RLS algorithm impact on LMS algorithm and different lamda value. Document contains the results of theoretical simulation and detailed description of the model and two methods of analysis. Code annexed.)

principal component analysis toolbox

hybrid pansharpening algorithm

MATLAB关于汽车制动分析 汽车理论 汽车理论 汽车理论(MATLAB analysis on the brake)

进行傅里叶变换的详细说明，可以依据操作快速掌握福利叶变换(A detailed description of Fourier transform, can be based on the operation quickly grasp the welfare leaf transformation)

EM 算法是求参数极大似然估计的一种方法，它可以从非完整数据集中对参数进行估计，是一种非常简单实用的学习算法。这种方法可以广泛地应用于处理缺损数据、截尾数据以及带有噪声等所谓的不完全数据，可以具体来说，我们可以利用EM算法来填充样本中的缺失数据、发现隐藏变量的值、估计HMM中的参数、估计有限混合分布中的参数以及可以进行无监督聚类等等。(Expectation Maximization image segmentation Input: ima: grey color image k: Number of classes Output: mask: clasification image mask mu: vector of class means v: vector of class variances p: vector of class proportions )