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This programe is a demo for compressive sensing. The OMP method is employed to resolve the l1 problem.
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将压缩感知用于谱估计中，根据论文谱压缩感知的一些程序-Compressive sensing (CS) is a new approach to simultaneous sensing and compression of sparse
and compressible signals based on randomized dimensionality reduction. To recover a signal from its
compressive measurements,
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这是rice大学大牛讲解压缩感知理论与技术的教学课件，该课件从理论到算法到应用进行了一系列详细的讲解，对想要学习这方面知识的很有帮助。-This is Daniel Rice University to explain the compressed sensing theory and technology courseware, the courseware from theory to the algorithm to the application of a series of detai
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一种基于模型的算法，包含了原版论文和代码-Model-based Compressive Sensing
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用于压缩感知的正则化正交匹配追踪算法，可直接运行。-ROMP algorithm for compressive sensing
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用于压缩感知的压缩采样正交匹配追踪算法，可直接运行。-CoSaMP alogrithm for compressive sensing
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用于压缩感知的迭代硬门限算法，可直接运行。-IHT ALOGRITM FOR COMPRESSIVE SENSING
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用于压缩感知的基追踪(BP)算法，可直接运行。-BP ALOGRITHM FOR COMPRESSIVE SENSING
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连续压缩感知，解决基失配问题，比较新的研究方向和文献。（附文献程序）-Continuous compressive sensing, base mismatch problem solving, relatively new research directions and literature. (With literature procedures)
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compressive sensing matalb code
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Maltlab program for Compressive sensing using L1 minimization
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