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主要介绍基于dct的数字音频水印，以及水印的嵌入和水印的提取(Introduced digital audio watermarking based on dct, and the watermark embedding and watermark extraction)

一个很小的小波分解和重构的程序，很简单，适合出血泽学习(A small wavelet decomposition and reconstruction process is very simple, suitable for bleeding Ze learning)

homework 5 given to me by my lecturer

用于雷达信号的产生，并且进行iq正交仿真的文件，文件较小，实用，以matlab应用程序运行，用的2009a版本(For radar signal generation, and for iq orthogonal simulation files, small, practical application runs in matlab, using 2009a version)

数学建模，matlab实现主成分分析法，以及直方图绘制( Mathematical modeling, matlab principal component analysis, and the histogram drawing )

V2V，即车载通信matlab仿真参考文档，国外研究生成果，仅供参考(V2V, or vehicle communication matlab simulation reference documentation, the results of foreign graduate students, for reference only)

matlAB 关于GUI编程的很好的学习资料。包括各种控件、菜单的设计(MATLAB GUI programming is a good learning materials. Including a variety of controls, menu design)

This m file contains the code mass spring system and its constants

本文件用MATLAB实现MMSE算法，源代码(SMI algorithm )

将压缩感知用于谱估计中，根据论文谱压缩感知的一些程序(Compressive sensing (CS) is a new approach to simultaneous sensing and compression of sparse and compressible signals based on randomized dimensionality reduction. To recover a signal from its compressive measurements, standard CS algorithms seek the sparsest signal in some discrete basis or frame that agrees with the measurements. A great many applications feature smooth or modulated signals that are frequency sparse and can be modeled as a superposition of a small number of sinusoids. Unfortunately, such signals are only sparse in the discrete Fourier transform (DFT) domain when the sinusoid frequencies live precisely at the center of the DFT bins. When this is not the case, CS recovery performance degrades significantly. In this paper, we introduce a suite of spectral CS (SCS) recovery algorithms for arbitrary frequency sparse signals. The key ingredients are an over-sampled DFT frame, a signal model that inhibits closely spaced sinusoids, and classical sinusoid parameter e)