不同稀疏基对单像素相机矩阵性能的影响  

The Influence of Different Sparse Basis on thePerformance of Single Pixel Camera Matrix

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作  者:伍松[1,2] 吴小龙 魏晟弘 WU Song;WU Xiao-long;WEI Sheng-hong(School of Mechanical and Transportation,Guangxi University of Science and Technology,Guangxi Liuzhou 545006,China;Guangxi Key Laboratory of Automotive Components and Vehicle Technology(Guangxi University of Science and Technology),Guangxi Liuzhou 545006,China)

机构地区:[1]广西科技大学机械与交通工程学院,广西柳州545006 [2]广西汽车零部件与整车技术重点实验室(广西科技大学),广西柳州545006

出  处:《机械设计与制造》2023年第9期185-187,192,共4页Machinery Design & Manufacture

基  金:国家自然科学基金(51665006);广西汽车零部件与整车技术重点实验室自主研究课题(2017GKLACVTZZ01)。

摘  要:针对不同稀疏基与单像素相机矩阵构成的重构矩阵研究较少的问题。首先将DCT矩阵和DWT矩阵这两种稀疏基分别与单像素相机矩阵组合成不同的重构矩阵,将得到的重构矩阵进行优化,分析优化过程中重构矩阵与优化矩阵性质的改变,再用重构矩阵与优化矩阵对信号进行重构实验。实验结果表明,基于DWT矩阵得到的重构矩阵和优化矩阵对信号的重构效果更好。基于DWT矩阵的重构矩阵和优化矩阵比基于DCT矩阵的重构矩阵和优化矩阵展现出了更好的重构性能。For the reconstruction matrix composed of different sparse bases and single-pixel camera matrices,there are less re⁃searches.First,combine the two sparse bases of DCT matrix and DWT matrix with the single-pixel camera matrix into different reconstruction matrices,optimize the obtained reconstruction matrix,and analyze the changes in the properties of the reconstruc⁃tion matrix and the optimization matrix during the optimization process,and then use reconstruction matrix and optimization ma⁃trix to reconstruct the signal.Experimental results show that the reconstruction matrix and optimized matrix based on the DWT matrix have better signal reconstruction effects.The reconstruction matrix and the optimization matrix based on the DWT matrix exhibit better reconstruction performance than the reconstruction matrix and the optimization matrix based on the DCT matrix.

关 键 词:DCT矩阵 DWT矩阵 单像素相机矩阵 重构矩阵 优化矩阵 

分 类 号:TH16[机械工程—机械制造及自动化] TN911.7[电子电信—通信与信息系统]

 

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