Nan Hu

Orcid: 0000-0003-0573-660X

Affiliations:
  • Soochow University, School of Electronics and Information Engineering, Suzhou, China
  • University of Science and Technology of China, Hefei, China (PhD 2013)


According to our database1, Nan Hu authored at least 26 papers between 2012 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Deep-learning-based motor imagery EEG classification by exploiting the functional connectivity of cortical source imaging.
Signal Image Video Process., June, 2024

2023
Registration of 3D medical images based on unsupervised cooperative cascade of deep networks.
Biomed. Signal Process. Control., April, 2023

Cardiopulmonary auscultation enhancement with a two-stage noise cancellation approach.
Biomed. Signal Process. Control., 2023

An advanced W-shaped network with adaptive multi-scale supervision for osteosarcoma segmentation.
Biomed. Signal Process. Control., 2023

2022
Iterative brain tumor retrieval for MR images based on user's intention model.
Pattern Recognit., 2022

Nonnegative block-sparse Bayesian learning algorithm for EEG brain source localization.
Biomed. Signal Process. Control., 2022

A Spatio-Temporal Interactive Attention Network for Motor Imagery EEG Decoding.
Proceedings of the IEEE International Conference on Signal Processing, 2022

2021
Inverse Solution of Steady-State Responses Based on Sparse Bayesian Learning.
IEEE Access, 2021

Machine-Learning-based Aortic Stenosis Detection for Electronic Stethoscope.
Proceedings of the 13th International Conference on Wireless Communications and Signal Processing, 2021

2018
Sparse Bayesian learning for off-grid DOA estimation with nested arrays.
Digit. Signal Process., 2018

A Cardiac Sound Localization and Identification Method for Electronic Stethoscope.
Proceedings of the 2018 IEEE International Conference on Signal Processing, 2018

2-D DOA Estimation for L-Shaped Array with Automatic Pair-Matching and Source Demerging.
Proceedings of the 2018 IEEE International Conference on Signal Processing, 2018

2017
Homotopy Approach for Energy-Efficient MIMO Systems With Zero-Forcing Transceivers.
IEEE Trans. Veh. Technol., 2017

Underdetermined DOA Estimation Method for Wideband Signals Using Joint Nonnegative Sparse Bayesian Learning.
IEEE Signal Process. Lett., 2017

Covariance-based DOA estimation for wideband signals using joint sparse Bayesian learning.
Proceedings of the 2017 IEEE International Conference on Signal Processing, 2017

2016
Source localization for sparse array using nonnegative sparse Bayesian learning.
Signal Process., 2016

2015
Sparse Bayesian Learning for DOA Estimation with Mutual Coupling.
Sensors, 2015

2014
Off-grid DOA estimation using array covariance matrix and block-sparse Bayesian learning.
Signal Process., 2014

DOA estimation for wideband signals based on sparse signal reconstruction using prolate spheroidal wave functions.
Signal Process., 2014

2013
DOA Estimation for Sparse Array via Sparse Signal Reconstruction.
IEEE Trans. Aerosp. Electron. Syst., 2013

A source enumeration method based on subspace orthogonality and bootstrap technique.
Signal Process., 2013

DOA estimation based on fourth-order cumulants in the presence of sensor gain-phase errors.
Signal Process., 2013

Wideband DOA estimation based on block FOCUSS with limited samples.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012
A sparse recovery algorithm for DOA estimation using weighted subspace fitting.
Signal Process., 2012

Wideband DOA estimation from the sparse recovery perspective for the spatial-only modeling of array data.
Signal Process., 2012

The estimate for DOAs of signals using sparse recovery method.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012


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