Zobrazeno 1 - 10
of 122
pro vyhledávání: '"Xinggan Zhang"'
Publikováno v:
IEEE Access, Vol 12, Pp 87728-87741 (2024)
The traditional reserve planning method implicitly includes inertia in the frequency response reserve without realizing separate and accurate planning for inertia reserve, and cannot consider the risk preference of the decision maker, which leads to
Externí odkaz:
https://doaj.org/article/e9917cbc2095467f92499a1516e57fb6
Publikováno v:
Remote Sensing, Vol 15, Iss 15, p 3811 (2023)
For a single-channel spaceborne synthetic aperture radar (SAR), the usage of a low pulse repetition frequency (PRF) is an effective technical way to extend the range swath. The sub-aperture imaging strategy is usually used to solve the problem of azi
Externí odkaz:
https://doaj.org/article/f197766f140341fb8caf3c6227e71c91
Autor:
Zhengdong Qi, Xinggan Zhang, Yechao Bai, Qiong Wang, Chunhua Yu, Hao Chen, Yangyi Lu, Shaopeng Wu
Publikováno v:
IET Microwaves, Antennas & Propagation, Vol 15, Iss 8, Pp 885-903 (2021)
Abstract An approach for the synthesis of sum and difference patterns in monopulse antennas is described. The proposed approach provides a significant reduction in the complexity of the beam‐forming network that is fulfilled by reducing the number
Externí odkaz:
https://doaj.org/article/086494d82d904c068084b6e7a027e033
Autor:
Wenjia Zeng, Xinggan Zhang
Publikováno v:
IEEE Access, Vol 9, Pp 65967-65976 (2021)
Multi-Spectral Image(MSI) denoising is an important preprocessing procedure to improve the performance of high-level processing. Tensor-based approach is one of the most popular methods for MSI denoising, since MSIs can be seen as multi-dimension arr
Externí odkaz:
https://doaj.org/article/9709a2c2f5734a4c87078560183d6e7c
Publikováno v:
IEEE Access, Vol 8, Pp 60515-60525 (2020)
As a powerful statistical image modeling technique, sparse representation has been successfully applied in various image restoration applications. Most traditional methods depend on ℓ1-norm optimization and patch-based sparse representation models.
Externí odkaz:
https://doaj.org/article/d0414e1c75e046839bc4516a5b437f90
Publikováno v:
IEEE Access, Vol 8, Pp 6717-6728 (2020)
In this paper, an iterative procedure for the synthesis of sparse arrays radiating focused beampattern is presented. The proposed approach provides a significant reduction in the complexity of the beam forming network, which is fulfilled by reducing
Externí odkaz:
https://doaj.org/article/afa655125fb94d5cac94b4f05bd3c1b2
Publikováno v:
IEEE Access, Vol 8, Pp 150350-150359 (2020)
In this paper, to fully exploit the spatial and spectral correlation information, we present a new real color image denoising scheme using tensor Schatten-p norm (t-Schatten-p norm) minimization based on t-SVD to recover the underlying low-rank tenso
Externí odkaz:
https://doaj.org/article/b9ae52f7f11f458491983790a105d965
Publikováno v:
IEEE Access, Vol 7, Pp 1224-1233 (2019)
Wideband direction-of-arrival (DOA) estimation is a key part in array signal processing. The existing algorithms for the wideband DOA estimation are often studied in the situation of uniformly distributed energy. In addition, all the frequency bins a
Externí odkaz:
https://doaj.org/article/96ee4b6ae4214db696d90c5506381fb4
Publikováno v:
IEEE Access, Vol 7, Pp 182017-182026 (2019)
Color images can be seen as third-order tensors with column, row and color modes. Considering two inherent characteristics of a color image including the non-local self-similarity (NSS) and the cross-channel correlation, we extract non-local similar
Externí odkaz:
https://doaj.org/article/78b494f8b5914a6da152971ffae57bcb
A Weighted Decision-Level Fusion Architecture for Ballistic Target Classification in Midcourse Phase
Publikováno v:
Sensors, Vol 22, Iss 17, p 6649 (2022)
The recognition of warheads in the target cloud of the ballistic midcourse phase remains a challenging issue for missile defense systems. Considering factors such as the differing dimensions of the features between sensors and the different recogniti
Externí odkaz:
https://doaj.org/article/29ce488b49584a6592acb65819c09b7e