H
Hongsen He
Researcher at Southwest University of Science and Technology
Publications - 30
Citations - 295
Hongsen He is an academic researcher from Southwest University of Science and Technology. The author has contributed to research in topics: Computer science & Robustness (computer science). The author has an hindex of 7, co-authored 17 publications receiving 177 citations. Previous affiliations of Hongsen He include Nanjing University.
Papers
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Journal ArticleDOI
An Active Impulsive Noise Control Algorithm With Logarithmic Transformation
Lifu Wu,Hongsen He,Xiaojun Qiu +2 more
TL;DR: An algorithm based on minimizing the squared logarithmic transformation of the error signal is proposed in this correspondence and is more robust for impulsive noise control and does not need the parameter selection and thresholds estimation according to the noise characteristics.
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Diffusion Normalized Least Mean M-estimate Algorithms: Design and Performance Analysis
TL;DR: This work presents an analytical method that is simpler than conventional approaches to deal with the score function since it removes the requirements of integrals and Price's theorem and analyzes the transient, steady-state and stability behaviors of the algorithms in a unified framework.
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M-Estimate Based Normalized Subband Adaptive Filter Algorithm: Performance Analysis and Improvements
TL;DR: The mean and mean-square behaviors of the M-estimate based normalized subband adaptive filter algorithm (M-NSAF) with robustness against impulsive noise are studied and the stability condition, transient and steady-state results of the algorithm are formulated analytically.
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Time Difference of Arrival Estimation Exploiting Multichannel Spatio-Temporal Prediction
TL;DR: This paper proposes a multichannel spatio-temporal prediction (MCSTP) algorithm, which can be viewed as a generalization of the MCCC principle from using only spatial information to using both spatial and temporal information, and demonstrates the advantages of this new method for TDE.
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Robust blind identification of room acoustic channels in symmetric alpha-stable distributed noise environments
TL;DR: A robust normalized multichannel frequency-domain least-mean M-estimate algorithm, which is shown to be immune to non-Gaussian noise with a symmetric α-stable distribution and based on the identification of a single-input/multiple-output acoustic system.