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

This paper presents a comparison between compressed sensing (CS) and auto-encoder (AE) for compression and restoration of signals. The study used K-sparse vectors and generated an under-determined system, which is a system of linear equations with fewer equations than unknowns. By using CS and AE un...

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Bibliographic Details
Main Authors: Jin-Young Jeong, Mustafa Ozger, Woong-Hee Lee
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10439168/