fenxingandxiaobo

说明：  此为LDPC低密度校验码的编译码的原理与应用的详细介绍。包括各种信道模型下的仿真结果，有助于更好的学习通信系统的编译码过程的实现。(This is the LDPC coding and decoding LDPC codes principles and applications in detail. Including channel model simulation results, contribute to a better communication system of learning to achieve encoding and decoding process.)

无线传感器网络是一种全新的信息获取平台，能够实时监测和采集网络分布区域内的各种检测对象的信息，并将这些信息发送到网关节点，以实现复杂的指定范围内目标检测与跟踪，具有快速展开、抗毁性强等特点，有着广阔的应用前景(Wireless sensor networks is a new information access platform, real-time monitoring of distribution and collection networks within the region of various test object information, and information sent to the gateway node, in order to achieve the specified range of complex target detection and tracking, with rapid deployment, survivability and strong features, have broad application prospects)

D—S证据理论下的频谱感知，比较基础。适合初学者学习研究，并进行改进。(D-S evidence theory the spectrum of perception, regardless of the basis. For beginners learning research, and make improvements.)

说明：  求解随机动态规划的MATLAB程序，有需要的请下载(Solving stochastic dynamic programming)

在平稳瑞利多径信道下，用BPSK调制，用matlab 仿真由最大似然译码的性能。(It discuss a receiver structure called Maximum Likelihood (ML) decoding which gives us a better performance. We will assume that the channel is a flat fading Rayleigh multipath channel and the modulation is BPSK.)

M—map是海洋图像处理的matlab软件包，里面携带大量的坐标信息(no )

mathlab code of ofdm based system

plot the examples .Useful for the beginners.

上海交大硕士毕业论文《基于最小熵谱估计的 高频重建算法研究》：本论文提出了一种基于最小熵谱估计的高频重建算法（论文中简称为（MEHFR），该算法利用最小熵准则对信号谱进行外推，从而重建出音频信号的高频分量，论文同时对提出的MEHFR算法作了改进和性能分析，并给出了MEHFR成功应用于目前主流音频编解码器——MP3的一个实例(This thesis puts forward an algorithm of high frequency reconstruction based on minimum entropy spectral estimation (called MEHFR in this thesis). MEHFR spreads the spectrum in the principle of minimum entropy and reconstructs the high frequency of audio signals also this thesis improves MEHFR and shows the analyses of performance at last applies MEHFR to ME3 which is the most popular codec of audio.)

用matlab做出有两个分叉的分形树的图形，树枝逐渐密集(Matlab make graphics fractal tree with two forked branches gradually intensive)