Adaptive Subband Forward Blind Source Separation Algorithms Based on Kalman Mechanism-Reference-Cited by-同舟云学术

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Adaptive Subband Forward Blind Source Separation Algorithms Based on Kalman Mechanism

Published:2024 Issue: Volume:73 Page:1-15
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Ye Jianhong¹^ORCID,Yu Yi¹^ORCID,Zakharov Yuriy²^ORCID,Liu Zhigang³^ORCID,He Hongsen¹^ORCID

Affiliation:

1. School of Information Engineering, Southwest University of Science and Technology, Mianyang, China

2. School of Physics, Engineering and Technology, University of York, York, U.K.

3. School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China

Funder

National Natural Science Foundation of China

Sichuan Science and Technology Program

Fund of Hydrogen Energy and Multi-energy Complementary Microgrid Engineering Technology Research Center of Sichuan Province

U.K. EPSRC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10510496.pdf?arnumber=10510496

Reference49 articles.

1. An Iterative Graph Spectral Subtraction Method for Speech Enhancement

2. A Denoising Algorithm for Partial Discharge Measurement Based on the Combination of Wavelet Threshold and Total Variation Theory

3. A New Wavelet Threshold Function and Denoising Application

4. Noise Reduction Using Modified Wiener Filter in Digital Hearing Aid for Speech Signal Enhancement

5. Determined Blind Source Separation Unifying Independent Vector Analysis and Nonnegative Matrix Factorization

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