Z-Score Averaging Neural Network and Background Content Removal for High Performance Rolling Shutter based Optical Camera Communication (OCC)

Autor:	Ke-Ling Hsu, Chi-Wai Chow, Yun-Shen Lin, Chien-Hung Yeh, Yun-Han Chang, Yang Liu, Shao-Hua Song, Dong-Chang Lin
Rok vydání:	2021
Předmět:	Optical camera communications Optical fiber Artificial neural network business.industry Computer science Rolling shutter Optical computing law.invention Transmission (telecommunications) law Content (measure theory) Computer vision Artificial intelligence Image sensor business
Zdroj:	OFC
DOI:	10.1364/ofc.2021.f1a.4
Popis:	We propose and demonstrate using Z-score averaging neural-network (Z-NN) and background-content-removal (BCR) to mitigate the inter-symbol-interference (ISI) in camera-communication (OCC). 950-bit/s over 3-m free-space transmission is achieved.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::bece7ba19fd5a2ce606f5c1da31c233e https://doi.org/10.1364/ofc.2021.f1a.4 Zobrazit plný text záznamu