Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Changxin Cai"'
Publikováno v:
Sensors, Vol 23, Iss 20, p 8620 (2023)
Since the rolling bearing fault signal captured by a vibration sensor contains a large amount of background noise, fault features cannot be accurately extracted. To address this problem, a rolling bearing fault feature extraction algorithm based on i
Externí odkaz:
https://doaj.org/article/196e052a0d604018b53e208218f8406c
Autor:
Zhigang Li, Jialin Wang, Di Cai, Yingqi Li, Changxin Cai, Xiaochuan Sun, Ning Wang, Jiabo Zhang, Huixin Liu, Gang Wang, Juan Wang
Publikováno v:
IEEE Access, Vol 8, Pp 22802-22811 (2020)
Deep learning has become a mainstream method in marine data processing field. However, the raw marine data, characterized by fluctuations, outliers and noise, is a serious obstacle to its performance improvement. To address this problem, a hybrid dee
Externí odkaz:
https://doaj.org/article/7d3ca46ea2634568a70d2aa5159e5f31
Publikováno v:
IEEE Access, Vol 8, Pp 12290-12299 (2020)
The aim of this paper is to show the problems of implementing the wireless adaptive networks with the free space optical (FSO) technology. Implementing adaptive networks with the wireless optical communication technology has several benefits and also
Externí odkaz:
https://doaj.org/article/b6b92f554cf64480b721448534e50939
Publikováno v:
IEEE Access, Vol 8, Pp 15923-15930 (2020)
With the rapid development of wireless communications technology, long term evolution (LTE) technology in unlicensed bands (LTE-U) can effectively solve the lack of spectrum resources. However, the competition in LTE-U and wireless fidelity (WiFi) wi
Externí odkaz:
https://doaj.org/article/6f83590cc9ab45009ea1057eab290e53
Publikováno v:
IEEE Access, Vol 8, Pp 42841-42847 (2020)
Automatic modulation recognition (AMR) plays an important role in various communications systems. It has the ability of adaptive modulation and can adapt to various complex environments. Automatic modulation recognition is also widely used in orthogo
Externí odkaz:
https://doaj.org/article/62cc352084d24b988a7a08d2a021616a
Publikováno v:
Sensors, Vol 22, Iss 22, p 8633 (2022)
The topic of joint angle and frequency estimation (JAFE) has aroused extensive interests in the past decades. Current estimation algorithms mainly rely on the Nyquist sampling criterion. In order not to cause ambiguity for parameter estimation, the s
Externí odkaz:
https://doaj.org/article/168bd03d1cb244b2aab806617db9ea57
Publikováno v:
IEEE Access, Vol 7, Pp 170096-170105 (2019)
Wireless multimedia sensor networks (WMSNs) are widely used in various fields where coverage control is a critical difficulty because multiple requirements need to be considered such as service quality and energy consumption. In this paper, we focus
Externí odkaz:
https://doaj.org/article/58c0769e05774c81949b0dce8c51b79b
Publikováno v:
IEEE Access, Vol 6, Pp 24249-24255 (2018)
This paper provides an effective method for the joint direction-of-departure (DOD) and direction-of-arrival (DOA) estimation in bistatic multiple-input multiple-output (MIMO) radar in the presence of unknown spatial colored noise. First, a temporal c
Externí odkaz:
https://doaj.org/article/794076c1c01848658d9d5d64b8de4f03
Publikováno v:
IEEE Access, Vol 6, Pp 13766-13772 (2018)
We investigate into the problem of joint direction-of-departure (DOD) and direction-ofarrival (DOA) estimation in a multiple-input multiple-output radar, and a novel covariance tensor-based quadrilinear decomposition algorithm is derived in this pape
Externí odkaz:
https://doaj.org/article/a2cf7bac911843b08ef64aa14d223cd3
Publikováno v:
Journal of Real-Time Image Processing. 20
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11cf04d66a5e2aa392c8c2af6d8c90a7
https://doi.org/10.1007/s11554-023-01287-7
https://doi.org/10.1007/s11554-023-01287-7