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压缩传感Compressed Sensing/Compressive Sampling理论及应用

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压缩传感Compressed Sensing/Compressive Sampling理论及应用

mayayufreefly创建于2011-06-03 最后编辑: 2011-06-03 07:57 4,057阅读 4人收藏
最近在信号采集领域最火的一个名词——压缩采样/压缩传感。打破奈奎斯特采样原理，可以实现低于奈奎斯特频率采样并完美的恢复信号
共 49 个文档
CMOS compressed imaging by random comvolution 4p
pdf CMOS compressed imaging by random comvolution
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Sparse channel estimation via matching pursuit with application to equalization 4p
pdf Sparse channel estimation via matching pursuit with applic..
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Sparse Channel Estimation for OFDM_ Over-Complete Dictionaries and Super-Resolution Methods 5p
pdf Sparse Channel Estimation for OFDM_ Over-Complete Dic..
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Channel Protection_ Random Coding Meets Sparse Channels 5p
pdf Channel Protection_ Random Coding Meets Sparse Channels
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Compressed mapping of communication signal strength 7p
pdf Compressed mapping of communication signal strength
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Asymptotic Achievability of the Cramér–Rao Bound for Noisy Compressive Sampling 4p
pdf Asymptotic Achievability of the Cramér–Rao Bound for N..
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Compressed channel sensing 6p
pdf Compressed channel sensing
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Decoding by linear programming 22p
pdf Decoding by linear programming
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A compressed sensing technique for OFDM channel estimation in mobile environments_ Exploiting channel sparsity for reducing pilots 4p
pdf A compressed sensing technique for OFDM channel estimati..
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Denoising by sparse approximation_ Error bounds based on rate-distortion theory 19p
pdf Denoising by sparse approximation_ Error bounds based on ..
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Error correction via linear programming 10p
pdf Error correction via linear programming
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Compressed sensing based estimation of doubly selective channels using a sparsity-optimized basis expansion 5p
pdf Compressed sensing based estimation of doubly selective ch..
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Dense error correction via ell-1 minimization 40p
pdf Dense error correction via ell-1 minimization
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Encoding the ell-p ball from limited measurements 10p
pdf Encoding the ell-p ball from limited measurements
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Collaborative spectrum sensing from sparse observations using matrix completion for cognitive radio networks 4p
pdf Collaborative spectrum sensing from sparse observations us..
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