Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Likang DENG"'
Publikováno v:
Leida xuebao, Vol 10, Iss 3, Pp 416-431 (2021)
The disadvantages of the traditional Inverse Synthetic Aperture Radar (ISAR) imaging method based on Fourier transform include large data storage and long collection time. The Compressive Sensing (CS) theory can use limited data to restore an image w
Externí odkaz:
https://doaj.org/article/0dcd0d4b91d14758836a69f3d915ba43
Autor:
Likang Deng, Jun Li
Publikováno v:
Energies, Vol 14, Iss 3, p 542 (2021)
Sugar cane bagasse and corn stalks are rich in lignocellulose, which can be degraded into monosaccharides through enzymatic hydrolysis. Appropriate pretreatment methods can effectively improve the efficiency of lignocellulose enzymatic hydrolysis. To
Externí odkaz:
https://doaj.org/article/11b358f7e65c4938bbaea97db05efd43
Autor:
Jun Li, Likang Deng
Publikováno v:
Energies
Volume 14
Issue 3
Energies, Vol 14, Iss 542, p 542 (2021)
Volume 14
Issue 3
Energies, Vol 14, Iss 542, p 542 (2021)
Sugar cane bagasse and corn stalks are rich in lignocellulose, which can be degraded into monosaccharides through enzymatic hydrolysis. Appropriate pretreatment methods can effectively improve the efficiency of lignocellulose enzymatic hydrolysis. To
Publikováno v:
Twelfth International Conference on Signal Processing Systems.
For bistatic inverse synthetic aperture radar (Bi-ISAR) cross-range scaling (CRS), it needs to estimate the effective rotational velocity (ERV) and correct linear-geometry distortion at the same time. In this paper, the effective rotational velocity