Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Songyan Huang"'
Autor:
Songyan Huang, Lingling Tao, Linlin Xu, Mingtao Shu, Dahe Qiao, Huilin Wen, Hui Xie, Hongrong Chen, Shengrui Liu, Deyu Xie, Chaoling Wei, Junyan Zhu
Publikováno v:
Food Chemistry: X, Vol 23, Iss , Pp 101547- (2024)
Taiping Houkui (TPHK) is prevalent green tea in China, its flavor quality is significantly influenced by different production regions. However, the key flavor compounds responsible for these discrepancies remain unclearly. Here, TPHK samples were pro
Externí odkaz:
https://doaj.org/article/cc248cc45e494e429373c1c8df948992
Autor:
Songyan Huang, Chunguang Li
Publikováno v:
Entropy, Vol 17, Iss 2, Pp 818-840 (2015)
Distributed data collection and analysis over a network are ubiquitous, especially over a wireless sensor network (WSN). To our knowledge, the data model used in most of the distributed algorithms is linear. However, in real applications, the lineari
Externí odkaz:
https://doaj.org/article/191df3204339463b923b6167bfbe50b1
Publikováno v:
IEEE Transactions on Cybernetics. 48:151-164
Distributed data processing over networks has received a lot of attention due to its wide applicability. In this paper, we consider the multitask problem of in-network distributed estimation. For the multitask problem, the unknown parameter vectors (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c394201864ed41d0f2a4394f8646fe44
https://doi.org/10.1109/tcyb.2016.2626801
https://doi.org/10.1109/tcyb.2016.2626801
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 52:3036-3052
Distributed estimation is an important technique for in-network signal processing. In this work, we consider a general case where the unknown parameter vectors (tasks) for different nodes can be different, which is different from the common single-ta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f15136ef32a12e2aa2b06353fdbff99
https://doi.org/10.1109/taes.2016.150733
https://doi.org/10.1109/taes.2016.150733
Autor:
Songyan Huang, Chunguang Li
Publikováno v:
IEEE Transactions on Signal Processing. 63:2986-2998
Distributed estimation is attracting more and more attention due to its scalability, robustness, and low power-consumption. In most distributed estimation algorithms, the output of the system is assumed to be noisy, while the input data is assumed to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ef969fe0e19216eeac82b7b3aad3475
https://doi.org/10.1109/tsp.2015.2416671
https://doi.org/10.1109/tsp.2015.2416671
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 24:695-708
In this paper, we consider the training of complex-valued filter based on the information theoretic method. We first generalize the error entropy criterion to complex domain to present the complex error entropy criterion (CEEC). Due to the difficulty
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fcd001f20f59f55907eced8b4e261007
https://doi.org/10.1109/tnnls.2013.2241788
https://doi.org/10.1109/tnnls.2013.2241788
Autor:
Chunguang Li, Songyan Huang
Publikováno v:
Entropy
Volume 17
Issue 2
Pages 818-840
Entropy, Vol 17, Iss 2, Pp 818-840 (2015)
Volume 17
Issue 2
Pages 818-840
Entropy, Vol 17, Iss 2, Pp 818-840 (2015)
Distributed data collection and analysis over a network are ubiquitous, especially over a wireless sensor network (WSN). To our knowledge, the data model used in most of the distributed algorithms is linear. However, in real applications, the lineari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5ad08f8e58da52ee60127d22e1d9afe