LFSR_generator

a function to find auto correlation

This code allows to calculate complex Zernike moments on a binary image and to reconstruct an image from its Zernike moments. The moments are calculated robustly which allows to use them even for the reconstruction with high order moments.

filtered back projection

格子boltzmann 方法，D2Q9模型，圆柱绕流，采用反弹-漫反射综合边界条件(Lattice boltzmann method, D2Q9 model flow around a cylinder, using the bounce- Diffuse integrated boundary conditions)

this code is developed to remove silent frame from speech signal

G B clayton operational amplifiers textbook

说明：  YALMIP工具箱和英文例子demos，下载后将文件移至matlab的toolbox文件夹中，便可以使用(Yalmip toolbox and English example demos. After downloading, move the file to the toolbox folder of MATLAB, and you can use)

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)

二维全息谱的绘制程序，学习故障诊断不可不学的matlab程序代码(good matlab code for holo2D)

基于1范数的稀疏信号反卷积算法的程序代码，语音信号、迭代算法(The sparse signal deconvolution algorithm based on 1 norm of program code, speech signal, an iterative algorithm)