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• W2734508749 abstract "As has been pointed out by compressed sensing algorithm, sparse signals can be sampled in sub-Nyquist rate by random modulation or random filter, which enables data compressed largely and possibility of high bandwidth signal process. In this paper, a compressed sampling system based on multiphase random filter is presented, in which the filtered signals by periodical random modulation in digital domain can be extracted in sub-Nyquist rate, then the spectrum information of original signals is reconstructed from multi-channel signals which are generated by multiphase method proposed in this article. This multiphase digital filter with high feasibility of implementation successfully lowers necessity of hardware which is required in multi-analog channel sampling systems. Simulation results demonstrate the validity and practicability of signal spectrum detection." @default.
• W2734508749 created "2017-07-21" @default.
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• W2734508749 date "2017-05-01" @default.
• W2734508749 modified "2023-09-26" @default.
• W2734508749 title "Research on compressed sampling system based on multiphase random filter" @default.
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• W2734508749 doi "https://doi.org/10.1109/yac.2017.7967483" @default.
• W2734508749 hasPublicationYear "2017" @default.
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