QAM OFDM的简单模拟

本文描述了粒子群算法与rbf神经网络相结合的应用，描述新颖，是一片不错的论文。(This paper describes the combination of the application of particle swarm optimization and rbf neural network, describe the novel, is a good paper.)

LMS自适应算法matlab程序，能够运行(LMS adaptive algorithm matlab program to run)

Load image and separate RGB and function to do image substraction

车牌分割与识别，是现在交通电子眼必备的系统，本程序就是用matlab程序实现车牌的分割与识别，(License plate segmentation and recognition, is now an essential transport system of electronic eyes, the procedure is to use matlab program to achieve license plate segmentation and recognition,)

通过标准方法实现结构加速度的线性积分问题(Implementation structure by standard methods of linear integral of acceleration)

Enter an integer, output Hours, minutes and seconds Enter an integer, output Hours, minutes and seconds(Enter an integer, output Hours, minutes and seconds)

BPSK的Matlab仿真程序,QAM的Matlab仿真程序.(Matlab BPSK simulation program, and Matlab QAM simulation program)

搭建OFDM通信系统的框架，gmcalab 快速广义的形态分量分析，实现用SDRAM运行nios，同时用SRAM保存摄像头数据，GPS和INS组合导航程序，相控阵天线的方向图（切比雪夫加权），一些自适应信号处理的算法。

一种基于半监督的svm的图像分类方法。该方法通过聚类核的方法利用无标记样本局部正则化训练核的表达式。这种方法通过图像直接学习一个自适应的核。该程序仿真的是文章：Semi-supervised Remote Sensing Image Classification with Cluster Kernels。大家可以参考下。(A semi-supervised SVM is presented for the classification of remote sensing images. The method exploits the wealth of unlabeled samples for regularizing the training kernel representation locally by means of cluster kernels. The method learns a suitable kernel directly from the image, and thus avoids assuming a priori signal relations by using a predefined kernel structure. Good results are obtained in image classification examples when few labeled samples are available. The method scales almost linearly with the number of unlabeled samples and provides out-of-sample predictionsds)

信号功率谱密与平稳随机过程 的matlab仿真程序(signal power spectrum closely with the stationary random process simulation program Matlab)