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- W2383672361 abstract "Aiming at deficiencies in uncertainty,hardware implementation and storage of the typical random measurement matrix currently,design a kind of measurement matrix based on tent chaos sequence by utilizing the excellent pseudo-random of the chaotic sequence. Once parameters and initial values of the matrix is determined,each moment of the state can be completely recreated,overcome the defect of random measurement matrix that needs a large number of experiments to reduce the uncertainty. Through compression and reconstruction of different amounts of image signal by utilizing the tent chaos measurement matrix and three typical random measurement matrixes,the results prove that the reconstruction performance of tent chaos measurement matrix is superior to typical random measurement matrix,and the deficiencies of hardware implementation and storage of random measurement matrixes are overcome,reduce storage space and transmission bandwidth pressure greatly." @default.
- W2383672361 created "2016-06-24" @default.
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- W2383672361 date "2014-01-01" @default.
- W2383672361 modified "2023-09-25" @default.
- W2383672361 title "Image compressed sensing based on tent chaos measurement matrix" @default.
- W2383672361 hasPublicationYear "2014" @default.
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