pp

这个程序是用在LDPC加EM中的，自己编的有很好的性能，用来估计依稀未知的参数，比如相偏频偏之类的(This procedure is used in LDPC EM in Canada, his series have good performance, used to estimate the unknown parameters vaguely, such as phase offset of the class of partial)

bch编码matlab 仿真,信道编码BCH码仿真，希望大家能用得上(bch encoding)

Using MoM for analysis Radar cross section RCS

《MATLAB7.0编程基础》书中图形的源代码，这是第2章的集合，比较全面，很有用，是很好的参考。(" Matlab7.0 programming foundation graphics source code in the book, which is a collection of Chapter 2, more comprehensive, useful, is a good reference.)

rayleigh衰落信道下，卷积编码与M-QAM调制相结合的系统分组错误概率与信噪比的函数关系的matlab仿真程序(rayleigh channel, convolutional coding and M-QAM modulation system, the combination of packet error probability and SNR is a function of the matlab simulation program)

MATLAB语言常用算法程序集（书中涉及的源程序代码） 例如插值、函数逼近、特征值计算等等，，常用的都在这里了(MATLAB algorithms commonly used in assembly language (in the book related to the source code) such as interpolation, function approximation, eigenvalue calculation, etc., are commonly used here)

对回波信号进行傅里叶变化,进而提取出距离信息(Performing Fourier transform on echo signals to extract distance information)

Synthetic Aperture Radar Simulation extended target as the shape of tank using four different types of Signals LFM Signal Conventional OFDM CP-based OFDM Random Noise Signal

包括脚本文件和函数文件形式，分数阶傅里叶变换计算方面,FIR 底通和带通滤波器和IIR 底通和带通滤波器。( Including script files and function files in the form, Fractional Fourier transform computing, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter.)

现有的几个网络拓扑随机发生器，其实很难生成理想的网络拓扑结构，其主要原因在于很难控制节点的疏密和间距。我们提出来的这个改进算法，在随机抛撒节点的时候使用了K均值聚类，由本算法作为网络拓扑发生器，网络节点分布均匀且疏密得当，边的分布也比较均衡(The few existing random network topology generator, is in fact very difficult to generate the desired network topology, the main reason it is difficult to control the node density and spacing. We put forward the improved algorithm, throw in random nodes when using the K-means clustering, by the algorithm as a network topology generator, network nodes and spacing evenly distributed properly, the edge of a more balanced distribution of)