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ORCIDPeng Xiao 0005
Person information
- affiliation: Shenzhen University, Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen, China
Other persons with the same name
- Peng Xiao — disambiguation page
- Peng Xiao 0001
![[0000-0001-7129-4614]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7129-4614")
— China Academy of Space Technology, Qian Xuesen Laboratory of Space Technology, Beijing, China - Peng Xiao 0002 — Anhui University, School of Business, Hefei, China
- Peng Xiao 0003 — Beihang University, School of Reliability and System Engineering, Beijing, China
- Peng Xiao 0004 — University of Connecticut, Storrs, USA
- Peng Xiao 0006 — Hunan Institute of Engineering, School of Computer and Communication, Xiangtan, China
- Peng Xiao 0007 — Dalian Maritime University, Dalian, China
- Peng Xiao 0008 — Dalian Polytechnic University, Dalian, China
- Peng Xiao 0009 — Griffith University, Brisbane, QLD, Australia (and 1 more)
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2020 – today
- 2024
[j11]Yinglin Chen, Peng Xiao, Yuxiang Gao, Bo Zhao, Jixing Qin:
Periodic Signal Recovery and Detection from 1-Bit Measurements Using Convolutional Neural Network. Circuits Syst. Signal Process. 43(8): 5328-5347 (2024)- 2023
- [j10]Peng Xiao, Yidi Li, Yinglin Chen, Lingji Xu, Jixing Qin:
1-Bit Hilbert Transform for Signed Signals with Sparse Prior. Circuits Syst. Signal Process. 42(3): 1848-1859 (2023) - [j9]Yuqing Yang, Peng Xiao, Nikos Deligiannis:
Underwater localization with binary measurements: From compressed sensing to deep unfolding. Digit. Signal Process. 133: 103867 (2023) - [j8]Zixin Wang, Lixing Chen, Peng Xiao, Lingji Xu, Zhenglin Li:
Enhancing time-frequency resolution via deep-learning framework. IET Signal Process. 17(4) (2023) - 2021
- [j7]Yuyang Huang, Peng Xiao, Bin Liao:
An improved pre-processing approach for convex-geometry based blind source separation. Digit. Signal Process. 114: 103048 (2021) - 2020
- [j6]Peng Xiao, Ping Chu, Bin Liao:
ADMM-based approach for compressive sensing with negative weights. IET Signal Process. 14(10): 854-860 (2020) - [j5]Peng Xiao, Bin Liao, Nikos Deligiannis:
DeepFPC: A deep unfolded network for sparse signal recovery from 1-Bit measurements with application to DOA estimation. Signal Process. 176: 107699 (2020) - [j4]Peng Xiao, Bin Liao, Ran Tao, Jian Li:
Generalized Fixed-Point Continuation Method: Convergence and Application. IEEE Trans. Signal Process. 68: 5746-5758 (2020) - [c3]Tong Wei, Bin Liao, Peng Xiao, Ziyang Cheng:
Transmit Beampattern Synthesis for MIMO Radar with One-Bit DACs. EUSIPCO 2020: 1827-1830 - [c2]Yuqing Yang, Peng Xiao, Bin Liao, Nikos Deligiannis:
A Robust Deep Unfolded Network for Sparse Signal Recovery from Noisy Binary Measurements. EUSIPCO 2020: 2060-2064 - [i2]Yuqing Yang, Peng Xiao, Bin Liao, Nikos Deligiannis:
A Robust Deep Unfolded Network for Sparse Signal Recovery from Noisy Binary Measurements. CoRR abs/2010.07564 (2020)
2010 – 2019
- 2019
- [j3]Peng Xiao, Bin Liao, Xiaodong Huang, Zhi Quan:
1-bit compressive sensing with an improved algorithm based on fixed-point continuation. Signal Process. 154: 168-173 (2019) - [j2]Peng Xiao, Bin Liao:
Robust one-bit compressive sensing with weighted ℓ1-norm minimization. Signal Process. 164: 380-385 (2019) - [j1]Peng Xiao, Bin Liao, Jian Li:
One-Bit Compressive Sensing via Schur-Concave Function Minimization. IEEE Trans. Signal Process. 67(16): 4139-4151 (2019) - [i1]Peng Xiao, Bin Liao, Nikos Deligiannis:
DeepFPC: Deep Unfolding of a Fixed-Point Continuation Algorithm for Sparse Signal Recovery from Quantized Measurements. CoRR abs/1912.00838 (2019) - 2018
- [c1]Xiaodong Huang, Peng Xiao, Bin Liao:
One-Bit Direction of Arrival Estimation With an Improved Fixed-Point Continuation Algorithm. WCSP 2018: 1-4
Coauthor Index
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