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IET Signal Processing is a Gold Open Access journal that publishes original research on a diverse range of signal processing and machine learning topics, covering a variety of applications, disciplines, modalities, and techniques in detection, estimation, inference, and classification problems.

Articles

Open access

Control Filter Estimation for Multichannel Active Noise Control Using Kronecker Product Decomposition

Hakjun Lee, Youngjin Park, 
  •  10 January 2025
Open access

Bayesian Robust Tensor Decomposition Based on MCMC Algorithm for Traffic Data Completion

Longsheng Huang, Yu Zhu, Hanzeng Shao, Lei Tang, Yun Zhu, Gaohang Yu, 
  •  7 January 2025
Open access

Human‐Centered UAV–MAV Teaming in Adversarial Scenarios via Target‐Aware Intention Prediction and Reinforcement Learning

Wei Hao, Huaping Liu, Jia Liu, Wenjie Li, Lijun Chen, 
  •  19 December 2024
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Review of noise removal techniques in ECG signals

Shubhojeet Chatterjee, Rini Smita Thakur, Ram Narayan Yadav, Lalita Gupta, Deepak Kumar Raghuvanshi, 
Open access

Recursive coupled projection algorithms for multivariable output‐error‐like systems with coloured noises

Jian Pan, Hao Ma, Xiao Zhang, Qinyao Liu, Feng Ding, Yufang Chang, Jie Sheng, 
Open access

Learning deep features to recognise speech emotion using merged deep CNN

Jianfeng Zhao, Xia Mao, Lijiang Chen, 
Open access

Acoustic vector sensor: reviews and future perspectives

Jiuwen Cao, Jun Liu, Jianzhong Wang, Xiaoping Lai, 
Open access

Sparsity‐based STAP algorithm with multiple measurement vectors via sparse Bayesian learning strategy for airborne radar

Keqing Duan, Zetao Wang, Wenchong Xie, Hui Chen, Yongliang Wang, 
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