Compressed Sensing Vs. Auto-Encoder: On the Perspective of Signal Compression and Restoration-Reference-Cited by-同舟云学术

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Compressed Sensing Vs. Auto-Encoder: On the Perspective of Signal Compression and Restoration

Published:2024 Issue: Volume:12 Page:41967-41979
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Jeong Jin-Young¹^ORCID,Ozger Mustafa²^ORCID,Lee Woong-Hee³^ORCID

Affiliation:

1. Department of Control and Instrumentation Engineering, Korea University, Sejong-si, Republic of Korea

2. School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden

3. Division of Electronics and Electrical Engineering, Dongguk University-Seoul, Seoul, Republic of Korea

Funder

National Research Foundation of Korea

Korean Government

“Regional Innovation Strategy (RIS)” through NRF

Ministry of Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10439168.pdf?arnumber=10439168

Reference72 articles.

1. Optimization of data-driven filterbank for automatic speaker verification

2. Certain Topics in Telegraph Transmission Theory

3. Communication in the Presence of Noise

4. A chronology of interpolation: from ancient astronomy to modern signal and image processing

5. Signal Processing With Compressive Measurements

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