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缩感知（Compressed sensing），也被称为压缩采样(Compressive sampling)或稀疏采样(Sparse sampling)，是一种寻找欠定线性系统的稀疏解的技术。-about compress sensing
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压缩感知重构算法 压缩采样匹配追踪算法 从原子库中选择多个相关的原子,同时剔除部分原子,
-Compressed sensing reconstruction algorithm compressive sampling matching pursuit algorithm library, select from the atomic number of the atom, while removing some atoms,
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压缩感知中重构算法，压缩采样匹配追踪算法，它属于贪婪算法，效果相对于MP,OMP 要优越-Compressed sensing reconstruction algorithm, compressive sampling matching pursuit algorithm, it belongs to the greedy algorithm, the effect relative to the MP, OMP superior to
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压缩感知中的压缩采样匹配追踪算法.该算法是对OMP算法的改进，运行速度快，重建质量好-Compressed sensing compressive sampling matching pursuit algorithm This algorithm is OMP algorithm, running speed, good quality reconstruction
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按块处理的基于压缩感知的压缩采样匹配追踪算法block-cosamp-By block processing based on compressed sensing compressive sampling matching pursuit algorithm block-cosamp
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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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We propose a compressive method for tracking doubly selective
channels within multicarrier systems, including OFDMsystems. Using
the recently introduced concept of modified compressed sensing
(MOD-CS), the sequential delay-Doppler sparsity of t
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正交匹配追踪(OMP)在稀疏分解与压缩感知重构，稀疏分解先于压缩感知提出，信号稀疏表示的目的就是在给定的超完备字典中用尽可能少的原子来表示信号，可以获得信号更为简洁的表示方式，从而使我们更容易地获取信号中所蕴含的信息，更方便进一步对信号进行加工处理，如压缩、编码等。(Orthogonal Matching Pursuit (OMP) is used in sparse decomposition and compressive sensing reconstruction. Sparse dec
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Underdetermined DOA Estimation Under the
Compressive Sensing Framework
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omp重构算法程序，压缩感知重构算法，包含测试程序(Omp reconstruction algorithm program, compressive sensing reconstruction algorithm, including test program)
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bp重构算法程序，压缩感知重构算法，包含测试程序(BP reconstruction algorithm program, compressive sensing reconstruction algorithm, including test program)
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基于压缩感知的OMP稀疏重构，与MP方法进行区别(sparse reconstruction using OMP based on compressive sensing)
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时空联合信道估计，附带matlab程序及论文(Structured compressive sensing based spatio-temporal joint channel estimation for FDD massive MIMO)
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论文压缩计算鬼成像《Compressive sensing computational ghost imaging》的附带原码，可实现压缩鬼成像的仿真。已跑通(Compression calculation ghost imaging code, can achieve compression ghost imaging simulation.)
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单阵元移动被动孔径合成互质阵并进行压缩感知DOA(Single element mobile passive aperture synthetic cross matrix and compressive sensing DOA)
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Sparse Bayesian Learning
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贝叶斯压缩感知例子 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. 56, no.
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此函数用于MIMO雷达的超分辨算法，利用凸优化压缩感知算法进行DOA估计，相比于MUSIC等超分辨算法，该算法的分辨性能更好。(this function is used to DOA estimation of MIMO Radar by the ways of compressive sensing, and compared to other DOA estimation algorithm, this algorithm can achieve the better performan
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