1001-0548(2013)05-0667-05

本代码为通信系统（西蒙.赫金）第四版全部matlab 源代码，在MATLAB2010下可以的出正确仿真结果，适合东南大学考研及学习MATLAB仿真使用(The code for the communication system (Simon Hyuk Kim) fourth edition of all the matlab source code, under the MATLAB2010 simulation results can be of the correct)

较详细的介绍了EMD分析方法和hilbert变换，对海洋中的一些时间序列进行时频分析(A more detailed description of the EMD analysis method and hilbert transform pairs of the ocean some of the time series of time-frequency analysis)

基于OFDM体制的调制和解调程序。对码流进行OFDM方式的调制和解调。(System based on OFDM modulation and demodulation process. Code stream of OFDM modulation and demodulation methods.)

一种实现matlab和c#结合的小例子，有待进一步改进(An implementation matlab and c# combination small example, be further improved)

基于matlab利用小波分析对二维信号进行去噪处理(Based on the Matlab wavelet analysis of two-dimensional signal denoising)

说明：  熟悉OQPSK的基本原理、调制解调技术，掌握MATLAB中M文件的使用及相关函数的调用方法，在此基础上通过MATLAB编程来实现OQPSK的调制与解调(The goal of this design is to deeply understand the basic principle of OQPSk modulation and demodulation, learn how to use MATLAB software in the M file to realize OQPSk modulation and demodulation analysis and join the influence of different noise on the signal, the first to create a digital baseband signal and then the corresponding function in MATLAB the baseband signal modulation, and then analyses the waveform of the modulated, record the results of modulated signals after demodulation, observe the demodulation results and record, finally adding noise in the signal and then observe the changes of the time-frequency diagram, analyze the noise of the signal to noise ratio influence the result of the modulation.)

软判决在OQPSK解调中实现对信号纠错的分析与应用(Soft-decision in OQPSK achieve signal demodulation analysis and application of error-correcting)

toolbox for Lyapunov exponent compute

matlab详细的入门教程，很实用，对初学者有很大作用。(matlab detailed introductory tutorial, very useful for beginners.)

对三维shepp-logan数据做三维扇形投影，并根据投影数据重建出shepp-logan图像。(Three-dimensional shepp-logan data do three-dimensional projection fan and shepp-logan reconstructed image from the projection data.)