XFEM1_0

说明：  详细而系统地介绍了matlab的使用，从最初的基本操作，到最后的动态仿真，讲解都很详细，并附有源程序以便参考学习。(Detailed and systematic introduction to the use of matlab, the basic operation from the initial to the final of the dynamic simulation, are explained in detail, together with a reference source to learn.)

求出多个信号的FFT频率并显示谱图，同时求出多个信号的功率谱并显示谱图(The FFT frequency of multiple signal and display the spectrum diagram, at the same time, the power spectrum of multiple signal and display spectrogram )

MFSK在加性高斯白噪声信道下的MATLAB仿真(MFSK simulation, Coherent and non coherent detection including performance with awgn)

Chaotic Logistic (quadratic) map

简单的信道编码程序 采用的是汉明编码 程序附带说明(Simple channel coding procedure is used with Hamming Code program description)

数字图象处理程序，有原图，可以直接运行，方便初学者对数字图像处理的入门练习(Digital image processing procedures, artwork can be run directly to facilitate beginners to practice the entry of digital image processing)

关于海洋地震勘探随机噪声比较详细论述的文章，写的挺好的，有兴趣的同学可以下载。(Random noise on marine seismic exploration a more detailed discussion of the article, written by very good, interested students can download.)

OFDM chirp Ambiguity function

灰色预测 GM（1,1） 灰色关联 matlab 数学建模(graysystem matlab)

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)