Vector Quantized Variational Autoencoder-Based Compressive Sampling Method for Time Series in Structural Health Monitoring

The theory of compressive sampling (CS) has revolutionized data compression technology by capitalizing on the inherent sparsity of a signal to enable signal recovery from significantly far fewer samples than what is required by the Nyquist–Shannon sampling theorem. Recent advancement in deep generat...

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Bibliographic Details

Published in:	Sustainability Vol. 15; no. 20; p. 14868
Main Authors:	Liang, Ge, Ji, Zhenglin, Zhong, Qunhong, Huang, Yong, Han, Kun
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.10.2023
Subjects:	Accuracy Big data Data compression Deep learning Inverse problems Methods Neural networks Parameter identification Signal processing Sparsity Sustainability Time series Wavelet transforms
ISSN:	2071-1050, 2071-1050
Online Access:	Get full text
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