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OMP COSAMP MP等压缩感知的算法，适合初学者研究。值得学习。(OMP,COSAMP and MP are compressive sensing algorithms, which are recommended for some learners.)
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压缩感知成像，基于稀疏表达,一种常用成熟的TVAL3压缩感知算法(the single pixel camera, compressive sensing, TVAL3)
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Linear prediction (LP) is an ubiquitous analysis
method in speech processing. Various studies have focused on
sparse LP algorithms by introducing sparsity constraints into
the LP framework. Sparse LP has been shown to be effective in
several issu
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This paper proposes a new variant of the least square autoregressive (LSAR) method for speech reconstruction, which can estimate
via least squares a segment of missing samples by applying the linear
prediction (LP) model of speech. First, we show t
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This paper describes a novel speech coding concept created by introducing sparsity constraints in a linear prediction scheme both on
the residual and on the prediction vector. The residual is efficiently
encoded using well known multi-pulse excitat
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matlab的KSVD工具箱。应用于图像处理等(KSVD matlabtoolbox.compressive sensing.)
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Is face recognition really a Compressive Sensing problem ?
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能够运行的基于压缩感知的目标跟踪程序，使用VS2017和opencv3.3平台C++编写(A target tracking program based on Compressive Sensing)
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实现文章sparseMRI中的磁共振图像重建(compressive sensing MRI)
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关于Python的block based compressive sensing。(block based compressive sensing.)
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分块压缩感知，采用SPL进行平滑，包括ct,dct,dwt,ddwt四种稀疏矩阵(Block compression perception, using SPL to smooth, including CT, DCT, DWT, DDWT four sparse matrices)
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Matlab program for Block Compressive sensing using FOCUSS
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Maltlab program for Compressive sensing using L1 minimization
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New method of convex optimization in CS
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The Matching Pursuit ToolKit
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MATLAB implementation of compressive sensing example as described in R.
Baraniuk, Compressive Sensing, IEEE Signal Processing Magazine, [118],
July 2007. The code acquires 250 averaged random measurements of a 2500
pixel image. We assume that the ima
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MATLAB implementation of compressive sensing example as described in R.
Baraniuk, Compressive Sensing, IEEE Signal Processing Magazine, [118],
July 2007. The code acquires 250 averaged random measurements of a 2500
pixel image. We assume that the
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compressive sensing cleve corner
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改论文详细描述了信道估计算法，提出了一种新的信道估计算法，即压缩感知算法，得到了良好的效果！(The paper describes the channel estimation algorithm in detail, and proposes a new channel estimation algorithm, that is, the compressive sensing algorithm, which has achieved good results!)
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Channel estimation for millimeter-wave (mmWave)
massive MIMO with hybrid precoding is challenging, since the
number of radio frequency (RF) chains is usually much smaller
than that of antennas. To date, several channel estimation schemes
have bee
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