Electroencephalogram Sensor Data Compression Using an Asymmetrical Sparse Autoencoder with a Discrete Cosine Transform Layer-Reference-Cited by-同舟云学术

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Electroencephalogram Sensor Data Compression Using an Asymmetrical Sparse Autoencoder with a Discrete Cosine Transform Layer

Published:2024-04-14 Issue: Volume:72 Page:2160-2164
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Zhu Xin¹,Pan Hongyi²,Rong Shuaiang¹,Cetin Ahmet Enis¹

Affiliation:

1. University of Illinois Chicago,Department of Electrical and Computer Engineering,USA

2. Northwestern University,Machine & Hybrid Intelligence Lab,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10446110.pdf?arnumber=10446110

Reference28 articles.

1. A Novel Lossless EEG Compression Model Using Fractal Combined with Fixed-Length Encoding Technique

2. Compression of Digital Biomedical Signals

3. Scalable real-time energy-efficient EEG compression scheme for wireless body area sensor network

4. A Study of Combined Lossy Compression and Seizure Detection on Epileptic EEG Signals

5. Convolutional Autoencoder Approach for EEG Compression and Reconstruction in m-Health Systems

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AlN Sputtering Parameter Estimation Using A Multichannel Parallel DCT Neural Network;2024 IEEE 42nd VLSI Test Symposium (VTS);2024-04-22

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