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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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采用BP算法来实现压缩感知的信号重构示例。BP算法由线性规划来实现，稀疏基为DCT基，信号为语音信号-an example of using BP algorithm for signal reconstruction in compressed sensing. BP algorithm is implemented by linear programming, sparse basis is the DCT basis, the signal used is speech
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一篇将分布式视频压缩和压缩感知联系起来的文章-One will be distributed video compression and compressed sensing article link
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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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iterative hard thresholding algorithm in Compressed Sensing
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用MATLAB实现的压缩传感，外文资料，里面含有部分源代码，用MATLAB可以仿真-Compressed sensing using MATLAB implementation, foreign language data, which contains part of the source code can be simulated using MATLAB
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基于压缩感知的图像处理，分别使用二维DCT、FFT和一维dwt变换对图像信号进行稀疏变换，然后使用正交匹配追踪算法进行重构，在进行相应的逆变换-This is a image processing procedure based on compressed sensing which respectively uses two-dimensional DCT, FFT and one-dimensional dwt transform to sparse the image signal a
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压缩传感介绍性文章，文章详细介绍了稀疏矩阵的构建方法-an introduction to compressed sensing and the sparse matrix
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压缩感知常用到的稀疏工具箱，有利于加强对压缩感知的理解-Used to compress sparse sensing toolbox, will help strengthen the understanding of compressed sensing
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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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压缩传感，压缩感知，压缩采样，稀疏表达，稀疏表示，的入门例子-compressive sensing, compressed sensing
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压缩传感理论仿真的一个实际例子，稀疏信号的恢复。-Compressed sensing theory of simulation of a practical example of sparse signal recovery.
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Bayesian Compressed Sensing
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code for homotopy in compressed sensing
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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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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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压缩感知简介，最基础的东西，给初学者准备的-compresive sensing
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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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图像压缩传感重构的matlab程序和文献(Image compressed sensing reconstruction Matlab procedures and documentation)
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Compressed Sensing of EEG
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