Yanyan Wang

Orcid: 0000-0003-2647-9243

Affiliations:
  • Harbin Engineering University, College of Information and Communication Engineering, China


According to our database1, Yanyan Wang authored at least 24 papers between 2015 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2020
Noise-Free Maximum Correntropy Criterion Algorithm in Non-Gaussian Environment.
IEEE Trans. Circuits Syst. II Express Briefs, 2020

2019
A Family of Blocked Proportionate Hybrid Error Criterion Algorithms.
IEEE Access, 2019

Acoustic-Domain Self-Interference Cancellation for Full-Duplex Underwater Acoustic Communication Systems.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

2018
A Proportionate Normalized Maximum Correntropy Criterion Algorithm with Correntropy Induced Metric Constraint for Identifying Sparse Systems.
Symmetry, 2018

An adaptive combination constrained proportionate normalized maximum correntropy criterion algorithm for sparse channel estimations.
EURASIP J. Adv. Signal Process., 2018

2017
Sparse Multipath Channel Estimation Using Norm Combination Constrained Set-Membership NLMS Algorithms.
Wirel. Commun. Mob. Comput., 2017

Adaptive Channel Estimation Based on an Improved Norm-Constrained Set-Membership Normalized Least Mean Square Algorithm.
Wirel. Commun. Mob. Comput., 2017

Norm Penalized Joint-Optimization NLMS Algorithms for Broadband Sparse Adaptive Channel Estimation.
Symmetry, 2017

A General Zero Attraction Proportionate Normalized Maximum Correntropy Criterion Algorithm for Sparse System Identification.
Symmetry, 2017

Sparse adaptive channel estimation based on mixed controlled <i>l</i><sub>2</sub> and <i>l<sub>p</sub></i>-norm error criterion.
J. Frankl. Inst., 2017

Sparse least mean mixed-norm adaptive filtering algorithms for sparse channel estimation applications.
Int. J. Commun. Syst., 2017

Group-Constrained Maximum Correntropy Criterion Algorithms for Estimating Sparse Mix-Noised Channels.
Entropy, 2017

A Soft Parameter Function Penalized Normalized Maximum Correntropy Criterion Algorithm for Sparse System Identification.
Entropy, 2017

An Enhanced Set-Membership PNLMS Algorithm with a Correntropy Induced Metric Constraint for Acoustic Channel Estimation.
Entropy, 2017

Convergence analysis of a correntropy induced metric constrained mixture error criterion algorithm.
Proceedings of the 9th International Conference on Wireless Communications and Signal Processing, 2017

Sparse Channel Estimation Using Correntropy Induced Metric Criterion Based SM-NLMS Algorithm.
Proceedings of the 2017 IEEE Wireless Communications and Networking Conference, 2017

A sparsity-aware proportionate normalized maximum correntropy criterion algorithm for sparse system identification in non-Gaussian environment.
Proceedings of the 25th European Signal Processing Conference, 2017

Low-complexity non-uniform penalized affine projection algorithms for active noise control.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Norm-adaption penalized least mean square/fourth algorithm for sparse channel estimation.
Signal Process., 2016

A Robust Sparse Adaptive Filtering Algorithm with a Correntropy Induced Metric Constraint for Broadband Multi-Path Channel Estimation.
Entropy, 2016

Low complexity norm-adaption least mean square/fourth algorithm and its applications for sparse channel estimation.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2016

Set-membership NLSM with reweighted l1-norm penalty for sparse system identification.
Proceedings of the 2016 IEEE International Conference on Digital Signal Processing, 2016

Sparse channel estimation based on a reweighted least-mean mixed-norm adaptive filter algorithm.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
Sparse channel estimation based on a p-norm-like constrained least mean fourth algorithm.
Proceedings of the International Conference on Wireless Communications & Signal Processing, 2015


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