Zobrazeno 1 - 10
of 1 524
pro vyhledávání: '"Compressive sampling"'
Autor:
Zheng Guan, Yu Wang
Publikováno v:
Soils and Foundations, Vol 64, Iss 6, Pp 101528- (2024)
Although it is widely acknowledged that a three-dimensional (3D) model of geotechnical property variation is the cornerstone of underground digital twin, its adoption in practice remains limited, probably due to the scarcity of site-specific geotechn
Externí odkaz:
https://doaj.org/article/c9367885ba1b4a218779540265339787
Publikováno v:
IEEE Access, Vol 12, Pp 150520-150539 (2024)
The capacity of Compressive Sensing (CS) to recreate original data from a limited number of samples has led to a surge in attention in recent years. As Deep Neural Networks (DNN) have emerged, the performance level of CS has also increased with the d
Externí odkaz:
https://doaj.org/article/ae988f81f59746c18e5dbb0f480a6508
Autor:
Y.-Y. Won, S. M. Yoon
Publikováno v:
Radioengineering, Vol 31, Iss 4, Pp 533-540 (2022)
We propose a technique for simultaneously transmitting two signals with different waveforms (non-return-to-zero on-off keying (NRZ-OOK) signal and discrete multi-tone (DMT) signal) in an optical wireless link based on visible light emitting diode (LE
Externí odkaz:
https://doaj.org/article/17c32ac9286e47b08142c6859a6a9285
Publikováno v:
Information, Vol 15, Iss 3, p 127 (2024)
With the increase in the use of high-frequency power electronic devices, the harmonics injected into the power grid show a trend of high-frequency development. The continuous rise of the supraharmonic emission level in the distribution network has be
Externí odkaz:
https://doaj.org/article/9e6219a237aa440aac67911a123d8f73
Akademický článek
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Publikováno v:
Journal of Rock Mechanics and Geotechnical Engineering, Vol 14, Iss 4, Pp 1221-1231 (2022)
ABSTRACT: Characterizing spatial distribution of soil liquefaction potential is critical for assessing liquefaction-related hazards (e.g. building damages caused by liquefaction-induced differential settlement). However, in engineering practice, soil
Externí odkaz:
https://doaj.org/article/3f843141515d443f950ceb05bf478587
Publikováno v:
Defence Technology, Vol 18, Iss 6, Pp 976-994 (2022)
In this paper, we propose a compressive sampling and reconstruction system based on the shift-invariant space associated with the fractional Gabor transform. With this system, we aim to achieve the sub-Nyquist sampling and accurate reconstruction for
Externí odkaz:
https://doaj.org/article/20712a864d2f4808a44a358d61d3f043
Publikováno v:
IEEE Access, Vol 10, Pp 85002-85018 (2022)
Compressive sensing allows the reconstruction of original signals from a much smaller number of samples as compared to the Nyquist sampling rate. The effectiveness of compressive sensing motivated the researchers for its deployment in a variety of ap
Externí odkaz:
https://doaj.org/article/eaea69d903b94ec585937757a491e58d
Compressive Sampling of Color Retinal Image Using Spread Spectrum Fourier Sampling and Total Variant
Autor:
Ledya Novamizanti, I Nyoman Apraz Ramatryana, Rita Magdalena, I Putu Agus Eka Pratama, Tariq Rahim, Soo Young Shin
Publikováno v:
IEEE Access, Vol 10, Pp 42198-42207 (2022)
In medical imaging, the application of retinal images demands a lot of retinal photos to analyze and requires efficient compression techniques for retinal image storage. Retinal images must meet stringent quality requirements for clinical data to be
Externí odkaz:
https://doaj.org/article/8aa37ebb73844667bea0a5ff4935785a
Akademický článek
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