IIR_filter

MAtlab file for Digital communication

聚类分析的入门论文，是自己研究生是整理所得，所选文献讲的都很清晰。(The introductory thesis of clustering analysis is that the graduate students are collating the income, and the selected literatures are clear.)

在单一天线接收和发送的UWB中Rake接收机BER的性能的仿真(In a single antenna to receive and send the UWB in the BER performance of Rake Receiver Simulation)

采用bayes方法进行模型的校正，先验分布和似然函数采用时间序列模型，压箱底的东西(Using Bayes method for the calibration of the model, the prior distribution and the likelihood function using time series models, bottom pressure thing)

用MATLAB对电力系统进行仿真。里面有全套的仿真模型。(Using MATLAB for power system simulation. There are a full range of simulation models.)

使用高阶累积量对MPSK信号进行调制识别，效果很好，可以达到很高的识别率，我曾论证了好久，确定它的结果没有问题，确实识别率很高(Modulation recognition of MPSK signals using higher order cumulants good effect, and can achieve a high recognition rate, I have argued for a long time, and its results, is indeed a high recognition rate)

说明：   第01章 DB2应用开发概述.rar(Chapter 01 outlines the DB2 application development. Rar)

本程序是ldpc的C语言源代码，如果有需要可以下载学习，可以学习整个通信框架(This program is ldpc the C language source code can be downloaded if there is a need to learn, you can learn the entire communication framework)

Adaboost是一种迭代算法，其核心思想是针对同一个训练集训练不同的分类器(弱分类器)，然后把这些弱分类器集合起来，构成一个更强的最终分类器（强分类器）。 load clouds [test_targets, E] = lijsada_boost(patterns, targets, patterns, 100, Stumps ,[]) train_patterns 每列为一样本 train_targets 每列为一样本目标 100 :Number Of Iterations Stumps: Weak Learner Type Learner s parameters :[] adaboost +stumps testRightR = 0.7522(Adaboost is an iterative algorithm)

基于MATLAB对散斑干涉图像进行低通滤波及二值化处理的编程(Programming for low pass filtering and two valued processing of speckle interference image based on MATLAB.)