End-to-End Signal Classification in Signed Cumulative Distribution Transform Space-Reference-Cited by-同舟云学术

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End-to-End Signal Classification in Signed Cumulative Distribution Transform Space

Published:2024-09 Issue:9 Volume:46 Page:5936-5950
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Rubaiyat Abu Hasnat Mohammad¹^ORCID,Li Shiying²^ORCID,Yin Xuwang¹^ORCID,Shifat-E-Rabbi Mohammad²^ORCID,Zhuang Yan¹^ORCID,Rohde Gustavo K.³^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, USA

2. Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA

3. Department of Biomedical Engineering and the Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, USA

Funder

NIH

Office of Naval Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/34/10627928/10457552.pdf?arnumber=10457552

Reference60 articles.

1. PyTransKit

2. A Survey on Human Activity Recognition using Wearable Sensors

3. A survey on ECG analysis

4. EEG signal classification using PCA, ICA, LDA and support vector machines

5. A new approach to signal classification using spectral correlation and neural networks

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