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Published in 2018 at "Optik"
DOI: 10.1016/j.ijleo.2017.09.004
Abstract: Abstract The algorithm of SFT (sparse Fourier transform) is firstly used for monochromatic light spectrum reconstruction in this paper. Due to the increasing amount of interference data, the operation efficiency of traditional algorithms is not…
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Keywords:
fourier transform;
sparse fourier;
spectrum reconstruction;
transform ... See more keywords
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2
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3169603
Abstract: The wireless distributed transient shockwave testing system based on Nyquist sampling needs to keep high sampling rate and front-end data processing rate, which leads to the shortening of the life cycle of wireless nodes. In…
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Keywords:
shockwave signal;
based sparse;
sparse fourier;
rate ... See more keywords
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Published in 2017 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2017.2714918
Abstract: The Sparse Fourier Transform (SFT), designed for signals that contain a small number of frequencies, enjoys low complexity, and thus is ideally suited for big data applications. In this paper, we propose Robust Sparse Fourier…
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Keywords:
robust sparse;
transform rsft;
rsft;
fourier transform ... See more keywords
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Published in 2022 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2022.3205758
Abstract: The fast approximation algorithm of non-uniform discrete Fourier transform (NUDFT) is an important issue in signal processing. In this paper, a novel estimation algorithm is constructed for NUDFT-II, which is the general form of the…
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Keywords:
fourier transform;
uniform sparse;
sparse fourier;
non uniform ... See more keywords