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- W2510113575 abstract "First introduce a traditional compressed sensing data fusion technique, and aiming at the shortcoming of traditional method, a compressed sensing data fusion technology based on temporal-spatial correlation is put forward. Then modeling on the proposed data fusion technique, improve the CS reconstruction algorithm and present the iterative threshold reconstruction algorithm based on temporal-spatial correlation. With the synthetic signals as the research objects, experiments show the effectiveness of the algorithm, further proving that it has obvious improvement for the proposed data fusion technology to reduce the network load and save the network energy." @default.
- W2510113575 created "2016-09-16" @default.
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- W2510113575 date "2016-08-30" @default.
- W2510113575 modified "2023-09-24" @default.
- W2510113575 title "Research on Data Fusion Technology Based on Compressed Sensing" @default.
- W2510113575 doi "https://doi.org/10.3991/ijoe.v12i08.5646" @default.
- W2510113575 hasPublicationYear "2016" @default.
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