| Robust Distributed Diffusion Recursive Least Squares Algorithms With Side Information for Adaptive Networks Y Yu, H Zhao, RC de Lamare, Y Zakharov, L Lu IEEE Transactions on Signal Processing 67 (6), 1566-1581, 2019 | 54 | 2019 |
| Memory proportionate APA with individual activation factors for acoustic echo cancellation H Zhao, Y Yu, S Gao, X Zeng, Z He IEEE/ACM Transactions on Audio, Speech, and Language Processing 22 (6), 1047 …, 2014 | 52 | 2014 |
| Robust set-membership normalized subband adaptive filtering algorithms and their application to acoustic echo cancellation Z Zheng, Z Liu, H Zhao, Y Yu, L Lu IEEE Transactions on Circuits and Systems I: Regular Papers 64 (8), 2098-2111, 2017 | 50 | 2017 |
| Novel sign subband adaptive filter algorithms with individual weighting factors Y Yu, H Zhao Signal Processing 122, 14-23, 2016 | 50 | 2016 |
| A new normalized subband adaptive filter algorithm with individual variable step sizes Y Yu, H Zhao, B Chen Circuits, Systems, and Signal Processing 35 (4), 1407-1418, 2016 | 50 | 2016 |
| A survey on active noise control in the past decade—Part I: Linear systems L Lu, KL Yin, RC de Lamare, Z Zheng, Y Yu, X Yang, B Chen Signal Processing 183, 108039, 2021 | 49 | 2021 |
| A Survey on Active Noise Control in the Past Decade–Part II: Nonlinear Systems L Lu, KL Yin, RC de Lamare, Z Zheng, Y Yu, X Yang, B Chen Signal Processing, 107929, 2020 | 49 | 2020 |
| Diffusion Normalized Least Mean M-estimate Algorithms: Design and Performance Analysis Y Yu, H He, T Yang, X Wang, RC de Lamare IEEE Transactions on Signal Processing 68, 2199-2214, 2020 | 47 | 2020 |
| Steady-state mean-square-deviation analysis of the sign subband adaptive filter algorithm Y Yu, H Zhao, B Chen Signal Processing 120, 36-42, 2016 | 45 | 2016 |
| M-Estimate Based Normalized Subband Adaptive Filter Algorithm: Performance Analysis and Improvements Y Yu, H He, B Chen, J Li, Y Zhang, L Lu IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 225-239, 2019 | 39 | 2019 |
| Performance Analysis of the Robust Diffusion Normalized Least Mean-Power Algorithm L Lu, H Zhao, W Wang, Y Yu IEEE Transactions on Circuits and Systems II: Express Briefs 65 (12), 2047-2051, 2018 | 37 | 2018 |
| Variable step-size widely linear complex-valued NLMS algorithm and its performance analysis L Shi, H Zhao, X Zeng, Y Yu Signal Processing, 2019 | 36 | 2019 |
| DCD-based recursive adaptive algorithms robust against impulsive noise Y Yu, L Lu, Z Zheng, W Wang, Y Zakharov, RC de Lamare IEEE Transactions on Circuits and Systems II: Express Briefs 67 (7), 1359-1363, 2019 | 35 | 2019 |
| A new normalized LMAT algorithm and its performance analysis H Zhao, Y Yu, S Gao, X Zeng, Z He Signal Processing 105, 399-409, 2014 | 34 | 2014 |
| A robust band-dependent variable step size NSAF algorithm against impulsive noises Y Yu, H Zhao, Z He, B Chen Signal Processing 119, 203-208, 2016 | 30 | 2016 |
| Sparse normalized subband adaptive filter algorithm with l 0-norm constraint Y Yu, H Zhao, B Chen Journal of the Franklin Institute 353 (18), 5121-5136, 2016 | 29 | 2016 |
| Sparseness-controlled proportionate affine projection sign algorithms for acoustic echo cancellation Y Yu, H Zhao, B Chen Circuits, Systems, and Signal Processing 34 (12), 3933-3948, 2015 | 27 | 2015 |
| Robust incremental normalized least mean square algorithm with variable step sizes over distributed networks Y Yu, H Zhao Signal Processing 144, 1-6, 2018 | 25 | 2018 |
| Sparsity-Aware SSAF Algorithm with Individual Weighting Factors: Performance Analysis and Improvements in Acoustic Echo Cancellation Y Yu, T Yang, H Chen, RC de Lamare, Y Li Signal Processing, 107806, 2020 | 24 | 2020 |
| Sparsity-aware subband adaptive algorithms with adjustable penalties Y Yu, H Zhao, RC de Lamare, L Lu Digital Signal Processing 84, 93-106, 2019 | 23 | 2019 |
Haiquan ZhaoProfessor of School of Electrical Engineering, Southwest Jiaotong UniversityVerified email at home.swjtu.edu.cn
