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compressive sensing
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多天线压缩宽带频谱感知在认知无线电，多级加权小波包分解在宽带频谱感知用在认知无线电上。-Compression of broadband multi-antenna spectrum sensing in cognitive radio, multi-level weighted wavelet packet used in the broadband spectrum sensing in cognitive radio on.
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压缩传感，压缩感知，压缩采样，稀疏表达，稀疏表示，的入门介绍，自己精心搜集的ppt，pdf资料，助你轻松入门-compressive sening compressed sensing
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L1 minimization and compressive sensing
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Romberg s compressive sensing lecture slides
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压缩感知非常经典的参考文献,非常详细的描写了压缩感知的起源，发展现状及应用研究热点。-compressive sensing
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压缩感知论文综述，介绍压缩感知理论相关内容包括理论和应用方面的介绍-Including theoretical and applied aspects of the introduction of compressed sensing summary of the thesis, introduce compression perception theory
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基于贝叶斯压缩感知理论的相关介绍，压缩感知理论是近几年非常热门的研究内容-Introduction of compressed sensing theory based on Bayesian compressed sensing theory is very popular in recent years, the research content
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基于梯度物理的压缩感知（CS）和恢复算法。对 CS形式进行了总结。介绍了物理意义的连贯性和测量。以及基于梯度的恢复算法及其几何解释。-The physics of compressive sensing (CS) and the gradient-based recovery algorithms are presented. First,the di® erent forms for CS are summarized. Second, the physical meanings of
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分布式压缩感知的论文，有助于理解SOMP算法在多点解压缩的运算-Papers distributed compressed sensing, computing helps to understand the SOMP compression algorithm in multi-point solution
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一种用贝斯定理的形式基于压缩传感测量估计基本信号-employ a Bayesian formalism for estimating the undering signal based on compressive-sensing measurements
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压缩感知中的经典文章有很多，这个不错，适合初学这，可以-compressive sensing
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Model-based compressive sensing
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本文围绕压缩感知的三个基本问题, 从结构化测量方法、结构化稀疏表示和结构化信号重构三个方面对结构化压缩感知的基本模型和关键技术进行详细的阐述.-In this paper, the basic models and key techniques of structured compressive sensing are introduced in terms of the structured measurements, the structured dictionary representat
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Beamforming using compressive sensing
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Compressive Sensing help
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Compressive Sensing algorithm
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基于贝叶斯的压缩感知 Bayesian Compressive Sensing
Shihao Ji, Ya Xue, and Lawrence Carin, IEEE Trans. Signal Processing, vol. 56, no. 6, June 2008.- Bayesian Compressive Sensing
Shihao Ji, Ya Xue, and Lawrence Carin, IEEE Trans. Signal Processing, vol. 5
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LFM宽带雷达信号的多通道盲压缩感知模型研究，提出了一种压缩感知技术新方法-Lfm compressive sensing
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Compressive sensing (CS) is a new approach to simultaneous sensing and compression
that enables a potentially large reduction in the sampling and computation
costs for acquisition of signals having a sparse or compressible representation in some
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