Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Jiapeng YIN"'
Publikováno v:
Leida xuebao, Vol 13, Iss 5, Pp 1037-1048 (2024)
In the context of counter-reconnaissance against airborne interferometers, this study proposes a jamming method designed to disrupt the parameter measurement capabilities of interferometers by generating distributed signals based on an interrupted-sa
Externí odkaz:
https://doaj.org/article/a80f1fb10d28488d867a9bc5cd438771
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 1026-1045 (2024)
Spectral polarization filtering in the range–Doppler domain plays an important role in weather radar clutter mitigation. However, when ground clutter and precipitation overlap, these methods tend to filter out clutter-contaminated precipitation, le
Externí odkaz:
https://doaj.org/article/b897d5e133724696ade31cdaec967a8c
Autor:
Yixin Tian, Jiapeng Yin, Chengyao Wang, Zhenliang He, Jingyi Xie, Xiaoshan Feng, Yang Zhou, Tianyu Ma, Yang Xie, Xue Li, Tianming Yang, Chi Ren, Chengyu Li, Zhengtuo Zhao
Publikováno v:
Advanced Science, Vol 10, Iss 33, Pp n/a-n/a (2023)
Abstract Single‐unit (SU) recording in nonhuman primates (NHPs) is indispensible in the quest of how the brain works, yet electrodes currently used for the NHP brain are limited in signal longevity, stability, and spatial coverage. Using new struct
Externí odkaz:
https://doaj.org/article/652c4bb95d27471a8004d87305c6f920
Publikováno v:
Leida xuebao, Vol 11, Iss 3, Pp 408-417 (2022)
This paper proposes an adaptive filtering method called the Adaptive Moving spectral Depolarization Ratio (AMsDR) filter to mitigate the clutter for dual-polarization weather radar based on Jensen-Shannon divergence principle. Specifically, the spect
Externí odkaz:
https://doaj.org/article/61ae93d61a6b4e9fa836baf44aa9c8c5
Publikováno v:
Leida xuebao, Vol 10, Iss 6, Pp 905-918 (2021)
To mitigate Radio Frequency Interference (RFI) for polarimetric Doppler weather radars, this paper proposes to use spectral polarimetric filters. Polarimetric weather radars can be divided into two basic categories: Simultaneously Transmitting and Si
Externí odkaz:
https://doaj.org/article/214757dee9b5482f924a398a2bc8be8f
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 6131-6145 (2021)
In this article, a spectral polarimetric filter named moving spectral depolarization ratio (MsDR) filter is proposed to mitigate the effects of clutter and noise for dual-polarization weather radar without cross-polar measurements. The filter is base
Externí odkaz:
https://doaj.org/article/57f31489cde6472c8c61429b4af6ac35
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 9974-9986 (2021)
Wind velocity is of great importance for weather monitoring, aviation hazard alerting, wind energy exploring, etc. Doppler radar is widely used to measure wind under rainy condition by sensing the raindrops entrained by the background wind. However,
Externí odkaz:
https://doaj.org/article/5e2280d9b901452dacccafe268c8c1bb
Publikováno v:
Remote Sensing, Vol 11, Iss 1, p 22 (2018)
Polarimetric radar measurements and products perform as the cornerstones of modern severe weather warning and nowcast systems. Two radar quantitative precipitation estimation (QPE) frameworks, one based on a radar-gauge feedback mechanism and the oth
Externí odkaz:
https://doaj.org/article/4d4b440f795643619693767ee8db839f
Autor:
Xu An, Hongliang Gong, Jiapeng Yin, Xiaochun Wang, Yanxia Pan, Xian Zhang, Yiliang Lu, Yupeng Yang, Zoltan Toth, Ingo Schiessl, Niall McLoughlin, Wei Wang
Publikováno v:
PLoS ONE, Vol 9, Iss 9, p e106753 (2014)
Visual scenes can be readily decomposed into a variety of oriented components, the processing of which is vital for object segregation and recognition. In primate V1 and V2, most neurons have small spatio-temporal receptive fields responding selectiv
Externí odkaz:
https://doaj.org/article/2e56e9d1209347deb2a560fed5ead2b8
Publikováno v:
IEEE Transactions on Industrial Electronics. :1-10