一种分段分块式压缩采样模型的设计

doi:10.3969/j.issn.1001-2400.2014.04.026

Abstract

Abstract:

Based on the analysis of the existing analog-to-information converter (AIC) under the framework of CS, a novel model called the segmented and blocked AIC (SB-AIC) based on block diagonalization is proposed. In this model, the measurement matrix is transformed into a structured block diagonal matrix and the block storage can be reused depending on the relative independence. Besides, the integral time of each branch can be reduced, which can be applied to mass compressive sampling per unit time. Experimental results show the effectiveness of this method, with complexity lower and practicality higher compared with the parallel AIC state of art.

Key words: compressive sensing, block diagonalization, analog-to-information converter(AIC), segmented AIC

FANG Biao;HUANG Gaoming;GAO Jun;ZUO Wei. Design of a segmented and blocked compressive sampling model[J].J4, 2014, 41(4): 151-157.

References

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Design of a segmented and blocked compressive sampling model

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