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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Vydané v:	Sustainability Ročník 15; číslo 20; s. 14868
Hlavní autori:	Liang, Ge, Ji, Zhenglin, Zhong, Qunhong, Huang, Yong, Han, Kun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.10.2023
Predmet:	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
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