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压缩传感理论的一个简单例子，首先对信号进行稀疏采样，然后利用MP算法对信号进行重建。,Compressed sensing theory of a simple example, first of all, the signal sparse sampling, and then use MP algorithm of signal reconstruction.
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cs压缩传感用于信号估计和信号去噪,是一种非常有效而且相当先进的技术,cs compressed sensing for signal estimation and signal denoising is a very effective and very advanced technology
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Matlab编写的压缩感知的库函数，包括稀疏分解和重构。-Written in compressed sensing Matlab library functions, including the sparse decomposition and reconstruction.
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压缩传感的sl0算法
是MATLAB源码-Compressed sensing algorithm is MATLAB source sl0
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一个正弦波利用DCT，FFT变换后稀疏化，然后应用压缩感知实现压缩，并有仿真图例说明重构效果。重构算法采用线性规划和OMP算法等，是一个初学CS入门的好例子。-A sine wave using DCT, FFT transform sparse, and then apply compressed sensing to achieve compression, and a legend reconstruction simulation results. Reconstruction algo
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压缩包内是有关于分布压缩传感的源程序，希望对大家有参考价值-Compressed package is about the distribution of compressed sensing of the source, I hope to be valuable
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压缩感知理论及其新的进展，压缩感知理论入门资料-Compressed sensing theory and its new progress, introductory information on compressed sensing theory
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压缩感知matlab代码，使用FFT进行稀疏分解，OMP算法重建信号-Compressed sensing matlab code, the use of FFT for sparse decomposition, OMP algorithm for signal reconstruction
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压缩感知代码,运用正交匹配追踪算法回复，简单易懂，很适合刚刚接触压缩感知的朋友参考。-compressed sensing code
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compressed sensing,图像压缩，用matlab仿真-compressed sensing, image compression, using matlab simulation
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CSPHANTOM is a test phantom tailored to compressed sensing MRI algorithm development. It is designed to be non-sparse under a gradient transform and to contain features difficult to reproduce with partial Fourier sampling. We hope that this phantom c
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关于压缩感知重构算法， 压缩感知（Compressive Sensing, or Compressed Sampling，简称CS），是近几年流行起来的一个介于数学和信息科学的新方向，由Candes、Terres Tao等人提出，挑战传统的采样编码技术，即Nyquist采样定理。-Reconstruction algorithm on compressed sensing, compressive sensing (Compressive Sensing, or Compressed Sampl
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一篇关于压缩感知的经典文章，压缩感知（Compressed sensing，简称CS，也称为Compressive sampling)理论异于近代奈奎斯特采样定理，它指出：利用随机观测矩阵可以把一个稀疏或可压缩的高维信号投影到低维空间上，然后再利用这些少量的投影通过解一个优化问题就可以以高概率重构原始稀疏信号，并且证明了这样的随机投影包含了原始稀疏信号的足够信息。-A classic article on compressed sensing, compressive sensing (Comp
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压缩感知去噪代码，一种用于去噪的CS的有效代码，简单适用-Compressed sensing denoising code, one for denoising CS valid code, a simple application
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适合初学者的压缩感知的程序，简单明了，便于理解压缩感知的整个数据流程-Compressed sensing for beginners program, simple, easy to understand the whole data flow of compressed sensing
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关于压缩感知重构算法，基于压缩感知的图像重建的实现-Compressed sensing image reconstruction based on the realization of
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SAMP.rar
function [xr iter_num] = SAMP(y, Phi, step_size, sigma);
% SAMP: Sparsity Adaptive Matching Pursuit algoritm for compressed sensing.
% For theoretical analysis, please refer to the paper :
% Thong. T. Do, Lu Gan and Trac D. Tran ,"
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the Compressed Sensing (CS) methods in general and analyze the performance of Compressive Channel Estimation (CCE). CCE is an application of the theory and methodology of CS to the problem of estimating doubly selective channels in multicarrier syste
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A method for constructing low coherence sensing
matrices based on best spherical codes is proposed. Such matrices
are applied in Compressed Sensing (CS) to obtain measurements
of a sparse vector. With the means of CS, it is possible to
recons
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因为自然界的数据都存在局部低维结构、周期性、对称性等，因此，传统的固定采样率的采样方法必然存在信息冗余。由于信息冗余的存在，我们就知道有数据压缩那么一门学科。既然这样，为什么要把冗余的数据也采进来，再进行压缩呢，能不能不把冗余的数据采集进来？
压缩感知的思路就是：在采集的过程中就对数据进行了压缩，而且这种压缩能保证不失真（低失真）的恢复原始数据，这与传统的先2倍频率采集信号→存储→再压缩的方式不同，可以降低采集信号的存储空间和计算量。
本程序是对于压缩感知模型的数学描述(Mathematics
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