Zobrazeno 1 - 10
of 196
pro vyhledávání: '"Xianzhong Xie"'
Publikováno v:
Tongxin xuebao, Vol 45, Pp 152-166 (2024)
In order to achieve high quality image transmission, a novel hybrid digital-analog (HDA) wireless transmission method was proposed.Firstly, the image residual layer was constructed by subtracting the downsampled and upsampled images from the original
Externí odkaz:
https://doaj.org/article/530dd52e71754b478d071491941206f7
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 2024 (2024)
The low-bit quantization can effectively reduce the deep neural network storage as well as the computation costs. Existing quantization methods have yielded unsatisfactory results when being applied to lightweight networks. Additionally, following ne
Externí odkaz:
https://doaj.org/article/aa14af564a8a4388bb4d786042dbf99e
Publikováno v:
Mathematical Biosciences and Engineering, Vol 18, Iss 5, Pp 6581-6607 (2021)
The image denoising model based on anisotropic diffusion equation often appears the staircase effect while image denoising, and the traditional super-resolution reconstruction algorithm can not effectively suppress the noise in the image in the case
Externí odkaz:
https://doaj.org/article/ad1ca843a6a24216861ae91118500353
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2021, Iss 1, Pp 1-19 (2021)
Abstract Non-orthogonal multiple access (NOMA) technology provides an effective solution to massive access with a high data rate demand in new-generation mobile networks. The paper combinations with NOMA and simultaneous wireless information and powe
Externí odkaz:
https://doaj.org/article/d9b13f1a53854e6398327dda1a119bde
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2020, Iss 1, Pp 1-21 (2020)
Abstract Ultra-reliable and low-latency communication (URLLC) in mobile networks is still one of the core solutions that require thorough research in 5G and beyond. With the vigorous development of various emerging URLLC technologies, resource shorta
Externí odkaz:
https://doaj.org/article/6d2d76342dfd442c82581a257609e827
Publikováno v:
Tongxin xuebao, Vol 41, Pp 156-171 (2020)
The design of precoding matrices was studied in the multiple input multiple output (MIMO) full-duplex two-way security communication system where legitimate nodes transmit the confidential information accompanied by the artificial noise while receivi
Externí odkaz:
https://doaj.org/article/c044d82e110147569a26630d804f5c36
Publikováno v:
IEEE Access, Vol 8, Pp 209483-209494 (2020)
Due to the number of users and items increasing sharply, data sparsity has become an extremely serious problem for recommendation systems. Social relations consist of complex and rich information, which have a good alleviation effect on sparsity prob
Externí odkaz:
https://doaj.org/article/53cbc78542894ed382181c5c5d1dd55d
Autor:
Shu Tang, Wanpeng Zheng, Xianzhong Xie, Tao He, Peng Yang, Lei Luo, Zhixing Li, Yu Hu, Hao Zhao
Publikováno v:
IEEE Access, Vol 7, Pp 5296-5311 (2019)
Blur kernel (BK) estimation is the crucial technique to guarantee the success of blind image deblurring. In this paper, we propose a multi-regularization-constrained method to estimate an accurate BK from a single motion-blurred image. First, in orde
Externí odkaz:
https://doaj.org/article/2741bf612d90430daf0054fa25cc68df
Publikováno v:
IEEE Access, Vol 7, Pp 79418-79432 (2019)
To solve the problem that the user check-in prediction model is difficult to provide personalized check-in services, this paper proposes a novel hybrid model, called personalized check-in prediction model based on user's dissimilarity and regression
Externí odkaz:
https://doaj.org/article/39e3ab9e01d24e1f9d1343030e75290d
Publikováno v:
IEEE Access, Vol 7, Pp 110884-110894 (2019)
Cognitive radio (CR) and massive multiple-input multiple-output (MIMO) have attracted much interest recently due to the amazing ability to accommodate more users and improve spectrum utilization. This paper investigates the QoS-aware user selection a
Externí odkaz:
https://doaj.org/article/1ecc18ac3df14ced8cbbd68b7bbbc8d4