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compressedsensing_OMP

于 2011-03-24 发布 文件大小:1KB
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说明:  压缩感知 正交匹配追踪一些人关心压缩感知与雷达成像,他们把稀疏表示放在最重要的地方,以为在雷达成像中成功实现压缩感知关键是稀疏表示; 事实上并不是如此。我们知道:压缩感知需要建立AX=B,且该方法具有较低的抑制信噪比能力;另外雷达成像的基础是雷达 信号与目标的相互作用,也就是电磁波与介质的相互作用,该相互作用是一个非常复杂的非线性问题,因此研究这个问题与 压缩感知的关系才是解决雷达成像问题的关键点所在。从另外一个角度来看,雷达成像中惯用的方法是匹配滤波,它之所以 能够处理低信噪比的问题,是因为它利用了回波数据的冗余信息。也就是目前雷达成像算法之所以成功的关键是具有足够 多的冗余信息。现在,在雷达成像中使用压缩感知恰好是反其道而行之! (compressed sensing)

文件列表:

OMP算法.m,709,2010-07-26

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