LiRenHou_MATLAB

that the performance is improved by increasing N, and probability of detection can be improved by increasing N value even if the SNR is much lower, as long as N is large enough without noise uncertainty.

matlab简介，对初学者来说是一份很好的学习资料(Matlab Introduction, is a very good learning materials for beginners)

3马赫气流吹拂圆柱体，二维非结构化网格，网格自适应优化，Matlab代码，无粘(Mach 3 airflow blowing cylinder, two-dimensional unstructured grids, adaptive mesh optimization, Matlab code, inviscid)

包含java版的股票预测以及matlab版的预测系统源码。包含的GUI界面(Contains the java version of the stock forecast as well as the predicted source matlab version. Contains the GUI interface)

读取星历观测文件GPS和北斗卫星的可见卫星数作为输出(read ephemeris observation file to give out GPS and Beidou visible satellite number)

本文提出了一种基于独立分量分析的音频数字水印方法。嵌入水印时,对原始音频文件进行一级小波分解,在分解 得到的逼近分量中利用随机混合方法嵌入水印后进行小波逆变换形成嵌入水印的音频文件。仿真实验结果表明这种方 法的强鲁棒性和可行性。(Abstract:Audio p roduction is one of the important digital multimedias, which transmit becomes more and more convenient. To p revent the multimedia content from being stolen or illegally used, audio content p rotection techniques become increasingly impor2 tant so that the potential of these app lications can be reached. As the importantmethod of copyright p rotection, the digitalwater2 marking technology has been acquired widely recognition and research. This paper p resents a method of digital audio watermark2 ing based on independent component analysis. When embedding watermarking, the original audio is decomposed by single2level discrete 12D wavelet transform, watermarking is embedded by mixing randomly to the app roximation coefficient vector obtained, and the audio is single2level reconstructed receiving audio havingwatermarking. Emulated experiment results show that thismeth2 od is robust and feasible.)

基本包含matlab中所有的经典算法，对数模感兴趣或者对matlab感兴趣的同学可以尝试一下。(Basic contains all the classic algorithm in matlab)

some exemple of code matlab for some pictures

噪声环境下语音信号的增强,噪声环境下语音信号的增强,噪声环境下语音信号的增强(The enhanced speech signal in noisy environment )

Introduvtion to signal processing with matlab