Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Shuimei Zhang"'
Autor:
Ling Wang, Shengjie Qi, Wenfang Gao, Yang Luo, Yunpeng Hou, Yao Liang, Hongbing Zheng, Shuimei Zhang, Ruiping Li, Meng Wang, Jinyu Zheng, Zhiwei Gao
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract The effects of different tillage management practices on the soil aggregates, soil carbon stock (STCS), and soil nitrogen stock (STNS) are key issues in agricultural research. We conducted an 8-year field experiment to evaluate the effects o
Externí odkaz:
https://doaj.org/article/bcfde93da1044a2b8c8efda794e960c0
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 12 (2015)
In robotic applications of visual simultaneous localization and mapping (SLAM) techniques, loop-closure detection detects whether or not a current location has previously been visited. We present an online and incremental approach to detect loops whe
Externí odkaz:
https://doaj.org/article/41fde966cbf1443681a4ce4bf373f24b
Publikováno v:
IEEE Transactions on Signal Processing. 69:5935-5946
In this paper, we develop a general framework of multi-frequency sparse array to estimate the direction-of-arrival (DOA) of a significantly higher number of targets than the number of physical sensors. The multi-frequency sparse arrays are designed t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09e9aba1af49075c4066cb4d7fdda458
https://doi.org/10.1109/tsp.2021.3122292
https://doi.org/10.1109/tsp.2021.3122292
Autor:
Yimin D. Zhang, Shuimei Zhang
Publikováno v:
IEEE Transactions on Signal Processing. 68:6171-6186
In this paper, we develop a novel method to enable robust sparsity-based time-frequency representation of multi-component frequency modulated signals in the presence of burst missing samples, where the amplitudes of the different signal components ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e11cb7233df9b47d57dfbafbc4de1e3b
https://doi.org/10.1109/tsp.2020.3032234
https://doi.org/10.1109/tsp.2020.3032234
Autor:
Yimin D. Zhang, Shuimei Zhang
Publikováno v:
IEEE Signal Processing Letters. 26:1172-1176
In this letter, we consider the sparsity-based time-frequency representation (TFR) of frequency-modulated (FM) signals in the presence of burst missing samples. In the proposed method, three key procedures are used to mitigate the effect of missing s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::beb3b7840cd082be404df5290466b858
https://doi.org/10.1109/lsp.2019.2922500
https://doi.org/10.1109/lsp.2019.2922500
Publikováno v:
2020 IEEE Signal Processing in Medicine and Biology Symposium (SPMB).
Nonstationary signals are naturally found and exploited in various applications, such as radar, sonar, radio astronomy, seismology, and electroencephalogram (EEG) [1]–[6]. Time-frequency (TF) analysis of nonstationary signals is a key enabling tech
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ff64b0ac7bd563c2b36919547c8a43f
https://doi.org/10.1109/spmb50085.2020.9353639
https://doi.org/10.1109/spmb50085.2020.9353639
Publikováno v:
SAM
We consider gridless direction-of-arrival (DOA) estimation of much more targets than the number of physical sensors through the exploitation of multi-frequency sparse array design and processing which increase the degrees of freedom as more frequency
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc513dc8cde434db5c243d3a26747ce5
https://doi.org/10.1109/sam48682.2020.9104282
https://doi.org/10.1109/sam48682.2020.9104282
Publikováno v:
ICASSP
Sensor array-based joint radar-communication (JRC) systems exploit adaptive beamforming to transmit radar and communication signals in their respective directions. Optimal sensor selection is anticipated as an attractive means to achieve superior per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80f7b0ecc0128df295025051c6b7f627
https://doi.org/10.1109/icassp40776.2020.9053368
https://doi.org/10.1109/icassp40776.2020.9053368
Publikováno v:
2020 IEEE International Radar Conference (RADAR).
In this paper, we develop a novel pre-processing algorithm to achieve effective signal denoising for improved recognition of noisy radar signals. The algorithm is considered in the instantaneous autocorrelation function domain in which time or lag sl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d1c12eac474f07c95a5ee991cedf6fb
https://doi.org/10.1109/radar42522.2020.9114872
https://doi.org/10.1109/radar42522.2020.9114872
Publikováno v:
Signal Processing. 192:108372
Bilinear time-frequency (TF) analyses provide high-resolution time-varying frequency characterization of nonstationary signals. However, because of their bilinear natures, such TF representations (TFRs) suffer from crossterms. TF kernels, which amoun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b2fd366b73e40ae9af39dfff5f24ad2
https://doi.org/10.1016/j.sigpro.2021.108372
https://doi.org/10.1016/j.sigpro.2021.108372