Compressive Sensing Spectroscopy Using a Residual Convolutional Neural Network

Compressive sensing (CS) spectroscopy is well known for developing a compact spectrometer which consists of two parts: compressively measuring an input spectrum and recovering the spectrum using reconstruction techniques. Our goal here is to propose a novel residual convolutional neural network (Res...

Descripción completa

Detalles Bibliográficos
Autores principales: Kim, Cheolsun, Park, Dongju, Lee, Heung-No
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7037334/
https://www.ncbi.nlm.nih.gov/pubmed/31973148
http://dx.doi.org/10.3390/s20030594

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7037334/
https://www.ncbi.nlm.nih.gov/pubmed/31973148
http://dx.doi.org/10.3390/s20030594

Ejemplares similares