OFDM

基于matlab GUI界面的雷达仿真代码 具有丰富的参数选项 如目标个数，频率，脉冲宽度等 请首先运行radarSimulation.m(Matlab GUI interface based on the radar simulation code with rich options such as the target number of parameters, frequency, pulse width, such as first run radarSimulation.m)

explanation of m/m/1 in matlab

。概括 了数字水印的研究现状和基本原理, 分析了基于小波变换的数字水印算法的优势, 阐述了小波 域水印嵌入与提取的过程, 最后由Matlab 仿真实现, 结果证明基于小波变换的数字水印具有较 强的掩蔽性和鲁棒性。(generalization The research status and the digital watermarking technology, analyzes the basic principle based on wavelet transform the advantage of digital watermarking algorithm, this paper expounds the wavelet Domain watermarking embedding and extracting process, finally by Matlab simulation results show the based on wavelet transform digital watermarking has more Strong masking and robustness. )

Communication Client_server

The Techniques and an Efficient PAPR Reduced Method of OFDM Systems(The Techniques and an Efficient PAPR Reduc ed Method of OFDM Systems)

matlab入门手册 一本很不错的基础教程 可下载学习 pdf格式(Getting Started manual matlab a very good basis for learning tutorial download pdf format)

小波分析理论与MATLAB小波分析的应用领网域十分广泛，它包括：数学领网域的许多学科；信号分析、影像处理；量子力学、理论物理；军事电子对抗与武器的智能化；电脑分类与识别；音乐与语言的人工合成；医学成像与诊断(MATLAB wavelet analysis theory and application of wavelet analysis collar domain is very extensive, it includes: Mathematics collar domain many disciplines signal analysis, image processing quantum mechanics, theoretical physics military weapons, electronic warfare and intelligence computer classification and identification synthetic music and language medical imaging and diagnostics)

是用matlab写的一个小巧的DFT程序，不同于FFT程序，希望对大家有所帮助,而且有对信号处理的实例，雷克子波(This is a cabinet with matlab write the DFT program, unlike FFT program, hope to help )

matlabGUI实现，合成识别电话拨号音，包含生成的exe可执行程序，原创(matlabGUI achieve synthetic recognition telephone dial tone, containing the generated exe executable program, original)

：独立成分分析 ( I C A)在国内尚属一门新型的方法 介绍了I C A的原理及其算法 ，然后介绍了该算法在盲源 信号分离中的具体应用，并将此方法 与主成分方洼 ( P C A)进行了比较(: Independent Component Analysis (ICA) in China is a new method to introduce the principle of the ICA and its algorithm, and then introduced the algorithm for blind source separation in the concrete application of this method and with the principal component to depression ( PCA) were compared)