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Title of Journal: J Cent South Univ

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Abbravation: Journal of Central South University

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Central South University

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DOI

10.1006/jsvi.1996.0619

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2227-5223

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Timedomain compressive dictionary of attributed s

Authors: Jinrong Zhong Gongjian Wen
Publish Date: 2016/03/30
Volume: 23, Issue: 3, Pages: 604-622
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Abstract

Parameter estimation of the attributed scattering center ASC model is significant for automatic target recognition ATR Sparse representation based parameter estimation methods have developed rapidly Construction of the separable dictionary is a key issue for sparse representation technology A compressive timedomain dictionary TD for ASC model is presented Twodimensional frequency domain responses of the ASC are produced and transformed into the time domain Then these time domain responses are cutoff and stacked into vectors These vectored timedomain responses are amalgamated to form the TD Compared with the traditional frequencydomain dictionary FD the TD is a matrix that is quite spare and can markedly reduce the data size of the dictionary Based on the basic TD construction method we present four extended TD construction methods which are available for different applications In the experiments the performance of the TD including the basic model and the extended models has been firstly analyzed in comparison with the FD Secondly an example of parameter estimation from SAR synthetic aperture radar SAR measurements of a target collected in an anechoic room is exhibited Finally a sparse image reconstruction example is from two apart apertures Experimental results demonstrate the effectiveness and efficiency of the proposed TD

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