leader_follower_matrix

西蒙赫金的《自适应滤波原理》一书的matlab程序，现在继续上传第16章的程序， 大家学习交流，觉得有用的自己下载，呵呵，上传完毕，没有修改过，原版(西蒙赫payment principle of adaptive filtering, one book matlab procedure, we shall now continue From Chapter 16 process, we learn, find useful to download their own, huh, huh, the upload has finished, has not been amended original)

MATLAB语言，包含有matlab的授课课件！(MATLAB language, contains the matlab instruction courseware!)

说明：  无线传感器网络路由协议DSR的改进的matalb仿真实例(DSR routing protocol for wireless sensor networks improved the matalb simulation)

iris data file for using in matlab

将根据50g/s流量输入时的阶跃响应数据所建立的模型，代入其它幅值的输入值，验证模型的一致性。(under 50g/s input flow of step response data the model, Other income generation amplitude of the input value, the certification model of consistency.)

精密单点定位的程序，是对初学者的很好的资料，很容易入手(Precise point positioning procedure ，is good information for beginners, it is easy to start)

nmf即是非负矩阵分解，就是把一个非负的源矩阵分解为两个非负的矩阵，在光谱解混中用的较多。(nmf that is non-negative matrix factorization, it is the source of a non-negative matrix factorization of two non-negative matrix, more mixed with the solution in the spectrum.)

说明：  matlab6.5辅助小波分析与应用例程 希望对大家能有所帮助(matlab6.5 assisted with the application of wavelet analysis routines we can hope for help)

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)

自己编写的傅里叶变换程序,属于作业范畴,首屏不高仅供参考(I have written Fourier transform falls within the scope of the job, the first screen for reference only)