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dc.contributor.authorTan, Songyuan
dc.contributor.authorSun, Jingru
dc.contributor.authorTang, Yiping
dc.contributor.authorSun, Yichuang
dc.contributor.authorWang, Chunhua
dc.date.accessioned2024-03-25T13:32:16Z
dc.date.available2024-03-25T13:32:16Z
dc.date.issued2024-02-15
dc.identifier.citationTan , S , Sun , J , Tang , Y , Sun , Y & Wang , C 2024 , ' Hyperchaotic Bilateral Random Low-Rank Approximation Random Sequence Generation Method and Its Application on Compressive Ghost Imaging ' , Nonlinear Dynamics , vol. 112 , no. 7 , pp. 5749-5763 . https://doi.org/10.1007/s11071-024-09317-0
dc.identifier.issn0924-090X
dc.identifier.urihttp://hdl.handle.net/2299/27545
dc.description© 2024, The Author(s), under exclusive licence to Springer Nature B.V. This is the accepted manuscript version of an article which has been published in final form at https://doi.org/10.1007/s11071-024-09317-0
dc.description.abstractHyperchaotic systems have been widely used in the field of communication and information security to generate random numbers due to their super-long sequences, pseudo-randomness, and unpredictability. However, chaotic systems still have certain periodicity and security risks. To improve the reliability of chaotic random sequences, in this paper, a new method of generating chaotic random sequences based on random bilateral projection is proposed. Through random bilateral projection algorithm, the matrix formed by chaotic sequences is decomposed into a noiseless low-rank matrix, sparse matrix, and noise matrix, and the noise matrix is retained as a random sequence, which can effectively remove the regular factors to improve the randomness of the generated sequence. To verify the effectiveness of the proposed sequence generation method, we apply it to the compressive ghost imaging encryption system, and through simulation verified that compared with the existing algorithms, the proposed random sequence generation method has better efficiency and randomness, and can improve the security and efficiency of the compressive ghost imaging system.en
dc.format.extent15
dc.format.extent7205589
dc.language.isoeng
dc.relation.ispartofNonlinear Dynamics
dc.subjectBilateral random projection
dc.subjectCompressive ghost imaging
dc.subjectHyperchaotic
dc.subjectImage encryption
dc.subjectMechanical Engineering
dc.subjectAerospace Engineering
dc.subjectOcean Engineering
dc.subjectApplied Mathematics
dc.subjectElectrical and Electronic Engineering
dc.subjectControl and Systems Engineering
dc.titleHyperchaotic Bilateral Random Low-Rank Approximation Random Sequence Generation Method and Its Application on Compressive Ghost Imagingen
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionDepartment of Engineering and Technology
dc.contributor.institutionCentre for Engineering Research
dc.contributor.institutionCentre for Future Societies Research
dc.contributor.institutionCommunications and Intelligent Systems
dc.description.statusPeer reviewed
dc.date.embargoedUntil2025-02-15
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85185110516&partnerID=8YFLogxK
rioxxterms.versionofrecord10.1007/s11071-024-09317-0
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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