EMI signal feature enhancement based on extreme energy difference and deep auto‐encoder-Reference-Cited by-同舟云学术

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EMI signal feature enhancement based on extreme energy difference and deep auto‐encoder

Published:2018-09 Issue:7 Volume:12 Page:852-856
ISSN:1751-9675
Container-title:IET Signal Processing
language:en
Short-container-title:IET signal process.

Author:

Li Hongyi¹²,Chen Shengyu²,Xu Shaofeng³,Song Ziming²,Chen Jiaxin⁴,Zhao Di¹

Affiliation:

1. LMIBSchool of Mathematics and Systems Science, Beihang UniversityBeijing100191People's Republic of China

2. School of Software, Beihang UniversityBeijing100191People's Republic of China

3. School of Computer Science and Technology, Fudan UniversityShanghai201203People's Republic of China

4. Department of Electrical and Computer EngineeringNew York University Abu DhabiUAE

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-spr.2017.0354

Reference33 articles.

1. An Efficient Jacobi-Like Deflationary ICA Algorithm: Application to EEG Denoising

2. Ren S.G. Qian X.N.: ‘Structured sparse PCA to identify MIRNA co‐regulatory modules’ Int. Conf. on Acoustics Speech and Signal Processing ICASSP Florence Italy 2014

3. Real-time electrical variables estimation based on recursive wavelet transform

4. Reconstruction of the in-plane mode shape of a rotating tire with a continuous scanning measurement using the Hilbert–Huang transform

5. Relevance Metric Learning for Person Re-Identification by Exploiting Listwise Similarities

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