Anhua Wan

22 papers A 2Journal 15Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
$L_{p}/L_{q}$ Minimization Method and Stable Recovery of Approximately Block $ k $-Sparse Signals.
IEEE Trans. Signal Process.
Kunsheng Zhan, Anhua Wan
2025 J jnl
Robust recovery of nearly-sparse complex signals from phaseless measurements in the presence of noise.
Digit. Signal Process.
Shuxian Li, Jiahui Wu, Wenhui Liu, Anhua Wan
2025 J jnl
Sparse representation for ℓp-αℓq minimization and uniform condition for the recovery of approximately k-sparse signals with prior support information.
Signal Process.
Kunsheng Zhan, Anhua Wan
2024 J jnl
$\ell_{1}-\ell_{q}$ ($1) Minimization for One-Bit Compressed Sensing.
IEEE Trans. Signal Process.
Yancheng Lu, Ning Bi, Anhua Wan
2024 J jnl
Nonconvex ℓ
Comput. Appl. Math.
Feng Gu, Anhua Wan
2024 J jnl
Stable recovery of approximately block k-sparse signals with partial block support information via weighted $\ell _2/\ell _p\, (0<p\le 1)$ minimization.
Comput. Appl. Math.
Wenhui Liu, Anhua Wan
2023 J jnl
Upper Bound of Null Space Constant $\rho(p,t,A,k)$ and High-Order Restricted Isometry Constant $\delta_{tk}$ for Sparse Recovery via $\ell_{p}$ Minimization.
IEEE Trans. Signal Process.
Rongyang Xiao, Yangjie Fu, Anhua Wan
2020 J jnl
Stable recovery of approximately
Neurocomputing
Anhua Wan
2020 J jnl
Uniform RIP Conditions for Recovery of Sparse Signals by $\ell _p\, (0 Minimization.
IEEE Trans. Signal Process.
Anhua Wan
2019 J jnl
General RIP bounds of
Neurocomputing
Buxian Chen, Anhua Wan
2016 J jnl
Robust H 2/H ∞ global linearization filter design for nonlinear stochastic time-varying delay systems.
Sci. China Inf. Sci.
Weihua Mao, Feiqi Deng, Anhua Wan
2015 J jnl
Universal consistency of extreme learning machine for RBFNs case.
Neurocomputing
Xia Liu, Anhua Wan
2013 J jnl
A novel result on stability analysis for uncertain neutral stochastic time-varying delay systems.
Appl. Math. Comput.
Feiqi Deng, Weihua Mao, Anhua Wan
2012 J jnl
Delay-Dependent Robust Exponential Stability for Uncertain Neutral Stochastic Systems with Interval Time-Varying Delay.
J. Appl. Math.
Weihua Mao, Feiqi Deng, Anhua Wan
2008 — conf
Criteria for Exponential Stability of Cohen-Grossberg Neural Networks with Multiple Time-Varying Delays.
ICIC (2)
Anhua Wan, Weihua Mao
2007 — conf
Dual Forms of SVM and MEB in Terms of Different Norms of Distance.
ICIC (3)
Yongqing Wang, Hong Qiao, Anhua Wan, Juntao Li
2007 — conf
Global Asymptotic Stability of Cohen-Grossberg Neural Networks with Multiple Discrete Delays.
ICIC (2)
Anhua Wan, Weihua Mao, Hong Qiao, Bo Zhang
2006 A conf
An Improved Gilbert Algorithm with Rapid Convergence.
IROS
Liang Chang, Hong Qiao, Anhua Wan, John A. Keane
2006 J jnl
Exponential stability of a class of generalized neural networks with time-varying delays.
Neurocomputing
Anhua Wan, Jigen Peng, Miansen Wang
2006 — conf
New Results for Global Exponential Stability of Delayed Cohen-Grossberg Neural Networks.
ICIC (1)
Anhua Wan, Hong Qiao, Bo Zhang, Weihua Mao
2006 A conf
Person-Tracking with Occlusion Using Appearance Filters.
IROS
Peng Bai, Hong Qiao, Anhua Wan, Yu Liu
2004 — conf
A Novel Approach to Exponential Stability Analysis of Cohen-Grossberg Neural Networks.
ISNN (1)
Anhua Wan, Weihua Mao, Chun Zhao