Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Dingli Xue"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 11723-11740 (2024)
Convolutional neural network (CNN) has made significant progress in image superresolution (SR), which could thrash the limits of image spatial resolution. Recently, abundant CNN-based methods have been proposed for the remote sensing image SR; howeve
Externí odkaz:
https://doaj.org/article/ca184c51e6ae4f63ac6257cd31eefffd
Publikováno v:
IEEE Signal Processing Letters. 29:199-203
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee8d29127d2ffc1174b729952e58bea4
https://doi.org/10.1109/lsp.2021.3132577
https://doi.org/10.1109/lsp.2021.3132577
Publikováno v:
Electronics Letters. 58:402-404
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84b7d63059c628482157bc96d41e0d8e
https://doi.org/10.1049/ell2.12479
https://doi.org/10.1049/ell2.12479
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 68:2051-2059
The Discrete Hirschman Transform (DHT) is more computationally attractive than the Discrete Fourier Transform (DFT). Based on its derived linear convolution, we have confirmed that the DHT-based convolution filter shows its superiority in reducing co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::920735d34bb219f4d05a1330ce62d29b
https://doi.org/10.1109/tcsi.2021.3061321
https://doi.org/10.1109/tcsi.2021.3061321
Publikováno v:
IEEE Transactions on Signal Processing. 68:6444-6452
The Discrete Hirschman Transform (DHT) is a generalization of the entropy-based Hirschman Transform that canonically represents digital signals with sparse basis functions. The DHT is computationally attractive in providing the flexibility in hardwar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76378b36248152d445d109f103c2d7c8
https://doi.org/10.1109/tsp.2020.3037402
https://doi.org/10.1109/tsp.2020.3037402
Publikováno v:
2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccbd364e01725824fe2e61eb8c3278a0
https://doi.org/10.1109/icicse55337.2022.9828900
https://doi.org/10.1109/icicse55337.2022.9828900
Publikováno v:
ACSSC
A fast linear convolution algorithm based on the Discrete Hirschman Transform (DHT) has been developed recently. It performs better than the traditional convolution based on the Discrete Fourier Transform (DFT) in terms of computational complexity. W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40a801462bb92a499d012d7f72badd35
https://doi.org/10.1109/ieeeconf44664.2019.9048809
https://doi.org/10.1109/ieeeconf44664.2019.9048809
Publikováno v:
ACSSC
The Hirschman Optimal Transform (HOT) has been shown to be superior to Discrete Fourier Transform (DFT) in computational complexity and resolution. The HOT can be implemented by periodic shifts of the DFT. The DFT calculation is comprised of a sum of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d14f59eefbad82e84f274747a712d1c9
https://doi.org/10.1109/acssc.2018.8645392
https://doi.org/10.1109/acssc.2018.8645392
Autor:
Dingli Xue, Linda S. DeBrunner
Publikováno v:
ACSSC
A general structure based on the Hirschman Optimal Transform (HOT) is described that is suitable for implementation using Field Programmable Gate Arrays or ASICs. A general hardware implementation of linear convolution based on the HOT is proposed. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc996dc7f2a6163a6f194b5dfeb9adac
https://doi.org/10.1109/acssc.2017.8335573
https://doi.org/10.1109/acssc.2017.8335573
Publikováno v:
IEEE Signal Processing Letters. :1-1
A Fast linear convolution algorithm based on the Discrete Hirschman Transform (DHT) provides increased hardware flexibility and reduced computational complexity compared to those based on the Fast Fourier Transform (FFT). This DHT convolution can be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6472e323480dc8bebdb831301912251b
https://doi.org/10.1109/lsp.2019.2950111
https://doi.org/10.1109/lsp.2019.2950111