壓縮感知中基于廣義Jaccard系數(shù)的gOMP重構算法
發(fā)布時間:2018-09-01 17:01
【摘要】:為了解決信號重構性能差的問題,提出了一種基于廣義Jaccard系數(shù)的廣義正交匹配追蹤(generalized orthogonal matching pursuit,g OM P)重構算法。該算法利用廣義Jaccard系數(shù)相似性匹配準則替換g OM P算法中的內積度量準則,優(yōu)化了通過感知矩陣來選擇與殘差余量最匹配原子的匹配方式。實驗結果表明,該算法的重構成功率不僅高于g OMP算法,同時也高于OMP、St OMP等算法。
[Abstract]:In order to solve the problem of poor signal reconstruction performance, a generalized orthogonal matching tracing (generalized orthogonal matching pursuit,g OM P) reconstruction algorithm based on generalized Jaccard coefficients is proposed. In this algorithm, the generalized Jaccard coefficient similarity matching criterion is used to replace the inner product metric in the g OM P algorithm, and the matching method of the best matching atom with the residual residue is optimized by the perceptual matrix. Experimental results show that the reconstruction success rate of this algorithm is not only higher than that of g OMP algorithm, but also higher than that of OMP,St OMP algorithm.
【作者單位】: 蘭州交通大學自動化與電氣工程學院;蘭州交通大學光電技術與智能控制教育部重點實驗室;蘭州理工大學機電工程學院;西北工業(yè)大學航天學院;
【基金】:國家自然科學基金資助項目(51465034) 甘肅省高;究蒲袠I(yè)務費資助項目(213063)
【分類號】:TN911.7
[Abstract]:In order to solve the problem of poor signal reconstruction performance, a generalized orthogonal matching tracing (generalized orthogonal matching pursuit,g OM P) reconstruction algorithm based on generalized Jaccard coefficients is proposed. In this algorithm, the generalized Jaccard coefficient similarity matching criterion is used to replace the inner product metric in the g OM P algorithm, and the matching method of the best matching atom with the residual residue is optimized by the perceptual matrix. Experimental results show that the reconstruction success rate of this algorithm is not only higher than that of g OMP algorithm, but also higher than that of OMP,St OMP algorithm.
【作者單位】: 蘭州交通大學自動化與電氣工程學院;蘭州交通大學光電技術與智能控制教育部重點實驗室;蘭州理工大學機電工程學院;西北工業(yè)大學航天學院;
【基金】:國家自然科學基金資助項目(51465034) 甘肅省高;究蒲袠I(yè)務費資助項目(213063)
【分類號】:TN911.7
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