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- W2380878089 abstract "In consideration of the issues of the high computation complexity and the weakness performance of traditional algorithm for very large-scale problems in sensor networks,this paper proposed a new method.Hierarchical simultaneous adaptive iterative threshold algorithm allowed reconstructing the optimal sparse signals simultaneously by processing row by row of the compressed signals along the least cost direction.Moreover,with the nonlinearly thresholding function,it was able to fix the reconstruction signals.The extensive experimental results confirm the validity and high performance of the HSAIT algorithm with fewer numbers of measures and iterative,and the signal to noise ratio improves to 60dB." @default.
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- W2380878089 date "2012-01-01" @default.
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- W2380878089 title "Research on application of hierarchical reconstruction algorithm in compressed sensing" @default.
- W2380878089 hasPublicationYear "2012" @default.
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