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压缩传感的经典文章,是必读论文之一。作者David L. Donoho-Compressed sensing classic article is one of must-read papers. Author David L. Donoho
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压缩传感在无线传感器网络中的应用。通过压缩传感,可以有效压缩数据量-Compressed sensing in wireless sensor network applications. Through the compression sensor can effectively reduce the amount of data
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在无线传感器网络中使用压缩传感技术,可以有效提高网络的生存周期,减少数据传输量-In wireless sensor networks using compressed sensing technology can effectively improve the network life cycle, reducing the volume of data transmission
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介绍压缩传感理论中要用到的信号的稀疏表征原理-Introduced the theory of compressed sensing to use the sparse representation of signal theory
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COMPRESSED SENSING FOR ULTRAWIDEBAND IMPULSE RADIO
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贝叶斯压缩感知算法的经典文献,相关研究必看-Bayesian algorithm for compressed sensing of the classic literature, relevant research must see
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基于贝叶斯压缩感知的一种极宽带信道的估计-A compressed sensing based on Bayesian very broadband channel estimation
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关于压缩感知方面的资料,介绍模拟信息转换的,很不错-On compressed sensing aspects of information on the conversion of analog information, very good
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压缩传感理论中探测向量的检测任务,是一次更容易,更简单,比估计和支持复苏的任务不同。-Compressed sensing theory to detect vector detection task is a more easy, easier than the estimate, and support recovery tasks.
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压缩感知和超分辨率论文,关于如何将低分辨率的图像如何重建成高分辨率图像,很有用-compressed sensing and super resolution
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压缩感知方面的介绍 也是下的 自己还没看的-Compressed sensing
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几个有关压缩感知的源代码,供大家学习交流-Several compressed sensing source code for everyone to learn exchange
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1-D信号压缩传感的实现(正交匹配追踪法Orthogonal Matching Pursuit)-1-D signal realization of compressed sensing (orthogonal matching pursuit method Orthogonal Matching Pursuit)
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基于压缩感知的纹理图像分类,介绍了一种新的高效算法:分类压缩感知。与一般压缩感知及其他方法在四大纹理数据库上对比。有原文献及自己的译文-Introduced a new efficient algorithm based on compressed sensing texture image classification, compressed sensing: Category. Original literature and translation
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压缩感知的重构算法:OMP以及传统的信道估计算法LS等-Compressed sensing reconstruction algorithm: OMP as well as the traditional channel estimation algorithm LS
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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(CS)理论是在已知信号具有稀疏性或可压缩性的条件下,对信号数据进行采集、
编解码的新理论。主要阐述了CS理论框架以及信号稀疏表示、CS编解码模型,并举例说明基于压缩感知理论的编解码理论在一维信号、二维图像处理上的应用。
-Compressed Sensing(CS) theory is a novel data collection and coding theory under the condition that signal is sparse
or compress
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用压缩感知理论对信号数据进行采集、编解码,进行数据恢复。主要阐述了CS理论框架以及信号稀疏表示、CS编解码模型.-Compressed Sensing(CS) theory is a novel data collection and coding theory under the condition that signal is sparse or compressible.
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雷达SAR成像中的压缩感知信号恢复算法,OMP在每次迭代过程中选择出的原子并不是最优的。论文分析了改进的最优OMP算法,即CSOMP,可以使算法收敛更快,减少算法硬件实现的复杂度。-In radar SAR imaging, the compressed sensing signal recovery algorithm, OMP in each iteration process is not the optimal choice of the atomic. This paper analy
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分布式压缩感知经典论文,简单易懂,望给与需要的人-Distributed compressed sensing classical paper
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