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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Sustainability Jg. 15; H. 20; S. 14868
Hauptverfasser:	Liang, Ge, Ji, Zhenglin, Zhong, Qunhong, Huang, Yong, Han, Kun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.10.2023
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!