Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Xiao-Feng Gong"'
Publikováno v:
Orthopaedic Surgery, Vol 14, Iss 7, Pp 1369-1377 (2022)
Objective To explore whether modified Chevron osteotomy together with distal soft tissue release would correct moderate to severe HV deformity and what is the minimal clinical important difference (MCID) for objective and subjective evaluating parame
Externí odkaz:
https://doaj.org/article/7a124ff3d86140ee87a4ef75aa73e326
Autor:
Li-Dan Kuang, Qiu-Hua Lin, Xiao-Feng Gong, Jianming Zhang, Wenjun Li, Feng Li, Vince D. Calhoun
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 2630-2640 (2022)
Complex-valued shift-invariant canonical polyadic decomposition (CPD) under a spatial phase sparsity constraint (pcsCPD) shows excellent separation performance when applied to band-pass filtered complex-valued multi-subject fMRI data. However, some u
Externí odkaz:
https://doaj.org/article/d0b4ebcb48a74ca8a45281f451d2affe
Publikováno v:
IEEE Access, Vol 7, Pp 167521-167533 (2019)
We consider the joint estimation of direction-of-arrival (DOA) and polarization of constant modulus (CM) signals based on an electromagnetic vector-sensor (EMVS) array. Two algebraic algorithms for canonical polyadic decomposition (CPD) with CM const
Externí odkaz:
https://doaj.org/article/119e657e03cb460aac6e3af630d8f15c
Publikováno v:
IEEE Access, Vol 6, Pp 38464-38474 (2018)
Joint blind source separation (J-BSS) has emerged as a data-driven technique for multi-set data fusion applications. In this paper, we propose a Jacobi generalized orthogonal joint diagonalization (GOJD) algorithm for J-BSS of multiset signals. By th
Externí odkaz:
https://doaj.org/article/fca94a03e2c14b758ad3fef9ededa019
Publikováno v:
Sensors, Vol 12, Iss 3, Pp 3394-3417 (2012)
Joint estimation of direction-of-arrival (DOA) and polarization with electromagnetic vector-sensors (EMVS) is considered in the framework of complex-valued non-orthogonal joint diagonalization (CNJD). Two new CNJD algorithms are presented, which prop
Externí odkaz:
https://doaj.org/article/b901ad263f634a0a9658c0d3a326dc28
Publikováno v:
In Ceramics International July 2020 46(10) Part B:15915-15924
Publikováno v:
Complexity. 2022:1-18
The two-dimensional coupled map lattice (2D CML) model has been extensively employed as the basis component for designing various schemes in the cryptography system due to its complicated chaotic dynamic behavior. In this study, we analyze the chaoti
Autor:
Li-Dan Kuang, Qiu-Hua Lin, Vince D. Calhoun, Yu-Ping Wang, Fengyu Cong, Yue Han, Xiao-Feng Gong
Tucker decomposition can provide an intuitive summary to understand brain function by decomposing multi-subject fMRI data into a core tensor and multiple factor matrices, and was mostly used to extract functional connectivity patterns across time/sub
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98be2f086269f59403ac0dcc01fc416b
http://urn.fi/URN:NBN:fi:jyu-202112226106
http://urn.fi/URN:NBN:fi:jyu-202112226106
Publikováno v:
Signal Processing. 201:108716
Publikováno v:
ICASSP
Tucker decomposition (TKD) has been utilized to identify functional connectivity patterns using processed fMRI data, but seldom focuses on originally acquired fMRI data. This study proposes to decompose multi-subject fMRI data in a natural three-way