0-1matlab

iterative 解码库,matlab 和 c写的， 包括turbo code和LDPC的编解码， 含源代码(iterative decoding library, matlab and c written, including the turbo code and LDPC coding and decoding, including source code)

产生一个连续信号，包含低频，中频，高频分量，对其进行采样，进行频谱分析，分别设计三种高通，低通，带通滤波器对信号进行滤波处理，观察滤波后信号的频谱。(generating a continue time singal,which contains low,middle and high frequences,sampling it.analisize its spetrum.Then designing three kind filters are lowpass,highpass,bandpass filters and processing it.Observing its spetrum.)

电子通信系统的建模与仿真 第8章 扩频通信 仿真 8.1 扩频码相关性的讨论 8.2 扩频通信原理 8.3 扩频通信系统? 8.4 跳频通信系统(Electronic communications system modeling and simulation in Chapter 8 Simulation of spread spectrum communication spread spectrum 8.1 code related discussion 8.2 Principle 8.3 Spread Spectrum Communications Spread Spectrum Communication System ? 8.4 Frequency Hopping Communication System)

Demonstrates the advantage of compiling a m-file to a MEX file using MATCOM.

方程求根的是抛物线法则，写的不好。仅供参考(Roots of the equation is parabolic law, badly written. Reference)

频率估计问题一直是研究的热点。此为一个相位差法估计频率的程序代码，可供学习参考。(Frequency estimation has been the research focus. This is a phase difference method to estimate the frequency of the program code, for learning reference.)

利用MATLAB编程实现遗传算法，并结合一维多峰值函数对算法性能进行了测试，在MATLAB环境中采用遗传算法有效地解决了求解函数的优化问题，仿真结果验证了该算法的有效性，图像直观，性能优越，为遗传算法的实际应用开辟了新的途径和渠道。(Genetic algorithms using MATLAB programming, combined with a function Victoria Peak performance of the algorithm was tested in the MATLAB environment using genetic algorithms to effectively solve the problem of solving function optimization, simulation results verify the effectiveness of the algorithm, the image visually superior performance, the practical application of genetic algorithms has opened up new avenues and channels.)

数字高程模型（DEM)移动插值算法，计算单个点(Digital elevation model (DEM) mobile interpolation algorithm to calculate a single point)

function approximation using SVR

The graphical methods of data analysis are as important as the descriptive statistics to collect information the data. In this section we will see some of these specialized plots available in the Statistics toolbox and also others MATLAB main toolbox